JP7626158B2 - Biometric information measuring system and toilet seat device - Google Patents

Description

The disclosed embodiments relate to a biometric information measuring system and a toilet seat device.

Health measurement devices are known that detect defecation gas discharged at the same time as stool, measure hydrogen sulfide gas, an example of an odorous gas contained in defecation gas, and measure the intestinal condition from the hydrogen sulfide gas (see, for example, Patent Document 1). Also known is a bioinformation system that analyzes the daily physical condition of a person using data on health gases, consisting of at least one of hydrogen gas, carbon dioxide gas, and methane gas, contained in defecation gas, and odorous gases containing sulfur components (see, for example, Patent Document 2). For example, in order to suppress the influence of hydrogen gas when detecting odorous gases, a technology is provided that separates the influence of hydrogen gas detected by a hydrogen gas sensor from the detection results based on measurements using odorous gases, and calculates the amount of odorous gas.

JP 2009-250922 A Patent No. 6674623

However, there is room for improvement in the above-mentioned conventional technology. For example, simply separating the effects of hydrogen gas detected by a hydrogen gas sensor from the detection results based on measurements of odorous gases may make it difficult to perform proper gas measurements due to measurement variations in the hydrogen gas sensor. For this reason, it is desirable to make it possible to properly execute processing based on gas measurements.

The disclosed embodiments aim to provide a vital sign measurement system and a toilet seat device that can appropriately perform processing based on gas measurement.

The bioinformation measuring system according to one aspect of the embodiment is a bioinformation measuring system that measures the bioinformation of a user of a toilet room based on the defecation gas discharged into the bowl of a toilet installed in the toilet room, and includes a gas detection device having a first gas sensor that reacts to hydrogen gas contained in the gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas, and a control device that controls the gas detection device, and the control device calculates a first calculated value corresponding to hydrogen gas based on the detection result of the first gas sensor, calculates a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value, and calculates a third calculated value corresponding to an odorous gas based on the detection result of the second gas sensor and the second calculated value, and the bioinformation measuring system estimates the health condition of the user or information related to the health condition based on the third calculated value, and the control device performs correction on at least one of the zeroth calculated value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor, the second calculated value, or the third calculated value.

In a bioinformation measurement system according to one aspect of the embodiment, in a configuration in which the amount of odorous gas is calculated based on the amount of hydrogen gas detected by a hydrogen gas sensor (corresponding to a first gas sensor) using a method of removing the influence of hydrogen gas from the detection value of an odorous gas sensor (corresponding to a second gas sensor), even if the amount of hydrogen gas detected fluctuates due to measurement variations in the hydrogen gas sensor, the amount of odorous gas detected is prevented from becoming zero or less due to hydrogen gas, and a health condition such as the state of the intestinal environment can be calculated with high accuracy. Therefore, the bioinformation measurement system can appropriately perform processing based on gas measurement.

As described in the above Patent Documents 1 and 2, the inventors have been continuing their research into health measurement using information on defecation gas, and in the course of their research, they have found that the change over time in the ratio of healthy gases composed of hydrogen, carbon dioxide, acetic acid, methane, ethanol, water, etc., contained in defecation gas (fart) emitted during defecation to odorous (bad smell) gases composed of ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, skatole, etc., indirectly captures the change over time in the intestinal environment. However, when the amount of hydrogen gas detected from defecation gas is large or the amount of odorous gas is small, if an attempt is made to simply separate the effect of hydrogen gas detected by the hydrogen gas sensor from the detection value of odorous gas detected by odorous gas as in Patent Document 2, due to the measurement variation of the hydrogen gas sensor, if the detection amount by the hydrogen gas sensor varies positively, the detection value of the odorous gas becomes 0 or a negative value, and the intestinal environment cannot be correctly estimated. Therefore, with the bioinformation measurement system according to one aspect of the embodiment, even if the amount of hydrogen gas fluctuates due to measurement variability in the hydrogen gas sensor, it is possible to prevent significant errors in the amount of odorous gas.

In one aspect of the embodiment of the biological information measuring system, the control device performs the correction by decreasing the second calculated value or by increasing the zero calculated value.

According to the bioinformation measuring system according to one aspect of the embodiment, even if the amount of hydrogen gas detected is large due to measurement variation in the first gas sensor, causing the second calculated value to vary in an increasing direction, it is possible to prevent the third calculated value from being buried. Therefore, it is possible to detect odorous gases regardless of variation in the amount of hydrogen in the hydrogen gas sensor, and it is possible to accurately estimate a health condition, such as the state of the intestinal environment. Therefore, the bioinformation measuring system can appropriately perform processing based on gas measurement.

In one aspect of the embodiment of the bioinformation measuring system, the control device performs the correction when the first calculated value or the second calculated value exceeds a first threshold value, or when the third calculated value falls below a second threshold value that is smaller than the first threshold value.

According to a bioinformation measuring system according to one aspect of the embodiment, by performing a downward correction under conditions where it is considered difficult to detect odorous gas and the amount of hydrogen gas detected by the first gas sensor is large and/or under conditions where the amount of odorous gas detected by the second gas sensor is considered to be small, the amount of hydrogen gas is corrected to a small amount only when correction is necessary, and thus, for example, a health condition such as the state of the intestinal environment can be estimated with high accuracy. Therefore, the bioinformation measuring system can make it possible to appropriately execute processing based on gas measurement.

In one aspect of the embodiment of the biological information measuring system, the control device performs the correction when the second calculated value exceeds the zero calculated value.

According to a bioinformation measuring system according to one aspect of the embodiment, when the amount of hydrogen gas detected by the first gas sensor is large, which is considered to be difficult to detect as an odorous gas, a downward correction is performed, and the amount of hydrogen gas is corrected to a smaller amount only when a correction is necessary, thereby making it possible to accurately estimate a health condition, such as the state of the intestinal environment. Therefore, the bioinformation measuring system can appropriately perform processing based on gas measurement.

In one embodiment of the bioinformation measuring system, the control device has a correction value preset as a value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the control device replaces the third calculated value with the correction value as the correction.

According to the bioinformation measuring system of one aspect of the embodiment, when the amount of odorous gas is small, the influence of the variation in the output value of the first gas sensor has a relatively large influence on the second calculated value derived from the odorous gas, which originally has a small output, by suppressing the degree of influence, it is possible to measure the health condition more accurately. Therefore, according to the bioinformation measuring system of one aspect of the embodiment, it is possible to detect the odorous gas regardless of the variation in the amount of hydrogen in the hydrogen gas sensor, and to accurately estimate the health condition, such as the state of the intestinal environment. Therefore, the bioinformation measuring system can appropriately execute processing based on gas measurement.

A toilet seat device according to one aspect of the embodiment is a toilet seat device that measures biological information of a user of a toilet room based on defecation gas discharged into a bowl of a toilet installed in the toilet room, and includes a gas detection device having a first gas sensor that reacts to hydrogen gas contained in gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas, and a control device that controls the gas detection device, the control device calculates a first calculated value corresponding to hydrogen gas based on the detection result of the first gas sensor, calculates a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value, and calculates a third calculated value corresponding to an odorous gas based on the detection result of the second gas sensor and the second calculated value, and the toilet seat device estimates the health condition of the user or information related to the health condition based on the third calculated value, and the control device performs correction on at least one of the zeroth calculated value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor, the second calculated value, or the third calculated value.

In a toilet seat device according to one aspect of the embodiment, the amount of odorous gas is calculated based on the amount of hydrogen gas detected by the hydrogen gas sensor using a method of removing the influence of hydrogen gas from the detection value of the odorous gas sensor. Even if the amount of hydrogen gas detected fluctuates due to measurement variations in the hydrogen gas sensor, the amount of odorous gas detected is prevented from becoming zero or less due to hydrogen gas, and a health condition such as the state of the intestinal environment can be accurately calculated. Therefore, the toilet seat device can appropriately perform processing based on gas measurement.

According to one aspect of the embodiment, processing based on gas measurement can be appropriately performed.

FIG. 1 is a perspective view showing an example of a configuration of a toilet room according to an embodiment. FIG. 2 is a plan view illustrating an example of the configuration of the measurement device according to the embodiment. FIG. 3 is a diagram illustrating an example of an overall outline of a biological information measuring system according to an embodiment. FIG. 4 is a diagram showing an example of the relationship between the user's actions and the system's operations. FIG. 5 is a block diagram showing an example of the configuration of a toilet seat device according to an embodiment. FIG. 6 is a block diagram illustrating an example of the configuration of the control device according to the embodiment. FIG. 7 is a diagram showing an example of the configuration of a gas sensor. FIG. 8 is a diagram showing an example of the relationship between the value based on the measurement of the gas sensor and the amount of gas. FIG. 9 is a diagram showing an example of a gas sensor and a reactive component. FIG. 10 is a diagram showing an example of a process for calculating the amount of odorous gas. FIG. 11 is a diagram showing an outline of calculation of the amount of odorous gas. FIG. 12 is a diagram showing an example of the effect of measurement variation of a gas sensor on calculation. FIG. 13 is a diagram showing an example of the effect of measurement variation of a gas sensor on calculation. FIG. 14 is a diagram showing a first measurement example using the gas sensor. FIG. 15 is a diagram showing a second measurement example using the gas sensor. FIG. 16 is a diagram showing a third measurement example using the gas sensor. FIG. 17 is a diagram showing a fourth measurement example using the gas sensor. FIG. 18 is a diagram showing the fifth and sixth measurement examples using the gas sensor. FIG. 19 is a diagram showing a seventh measurement example using the gas sensor. FIG. 20 is a diagram showing an example of a configuration and control corresponding to the third measurement example. FIG. 21 is a diagram showing an example of a configuration and control corresponding to the fourth measurement example. FIG. 22 is a diagram showing an example of a configuration and control corresponding to the fourth measurement example. FIG. 23 is a diagram showing an example of a configuration and control corresponding to the fourth measurement example. FIG. 24 is a diagram showing a first change of information by the biological information measuring system. FIG. 25 is a diagram showing an example of how information is displayed after the change by the biological information measuring system. FIG. 26 is a diagram showing an example of score correction by the biological information measuring system. FIG. 27 is a diagram showing a second change of information by the biological information measuring system. FIG. 28 is a diagram showing a third change of information by the biological information measuring system.

Below, the embodiments of the biological information measuring system and toilet seat device disclosed in the present application will be described in detail with reference to the attached drawings. Note that the present invention is not limited to the embodiments described below. In this application, gases derived from intestinal fermentation and indicating a high level of health are referred to as healthy gases, and gases derived from intestinal putrefaction and indicating a low level of health are referred to as odorous gases.

For example, a health gas is a gas produced by fermentation by beneficial bacteria in the intestines. For example, a health gas may be a gas that originates from intestinal fermentation and increases the more healthy the intestines are. Specific examples of health gases include hydrogen, carbon dioxide, acetic acid, methane, ethanol, and water.

For example, odorous gas is gas produced by fermentation by harmful bacteria in the intestines. For example, odorous gas may be fecal gas that contains sulfur components. Examples of odorous gas include ammonia, trimethylamine, hydrogen sulfide, methyl mercaptan, indole, and skatole. Note that fecal gas here refers to gas that comes out of the intestines, and includes, for example, gas that comes out at the same time as defecation and gas that is not excreted at the same time as defecation.

1. Embodiment
Below, we will first explain the toilet room R, which is the gas collection location, and an overview of the vital information measurement system 1, and then explain the various processes executed by the vital information measurement system 1 and the configuration for performing those processes.

<1-1. Example of toilet room configuration>
First, the configuration of a biological information measuring system according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a perspective view showing an example of the configuration of a biological information measuring system according to an embodiment. In Fig. 1, a toilet seat 5 and a toilet lid 9 are shown in a see-through state in order to illustrate the configuration of a measuring device 4.

As shown in FIG. 1, in the toilet room R, a toilet bowl 7 is installed on a floor surface F. In the following, the direction facing the space of the toilet room R from the floor surface F may be described as "up." In the toilet room R, components of the bioinformation measurement system 1, such as a suction device 10 and a measurement device 4 that performs gas detection, including a gas detection device 20, are arranged.

The toilet bowl 7 is a toilet bowl, and has a bowl portion 8 formed therein. The bowl portion 8 is concave downwards and is the portion that receives the user's waste. The toilet bowl 7 is not limited to a floor-standing type as shown in the figure, and may be of any type, such as a wall-mounted type, as long as the bio-information measuring system 1 is applicable. The toilet bowl 7 has a rim portion around the entire periphery of the edge of the opening that faces the bowl portion 8. For example, a flush water tank that stores flush water may be installed near the toilet bowl 7 in the toilet room R, or a so-called tankless type in which no flush water tank is installed may be used.

For example, when a user operates a flushing operation unit (not shown) provided in the toilet room R, a toilet flush is performed by supplying flushing water to the bowl portion 8 of the toilet 7. The flushing operation unit may be an operation lever or a touch operation on a toilet flushing object displayed on the operation device 30. Note that the flushing operation unit is not limited to an operation lever or the like that allows the toilet to be flushed manually by the user, but may also be one that allows the toilet to be flushed by a human body detection sensor that detects the user, such as a seating sensor.

The toilet seat device 2 is attached to the top of the toilet bowl 7 and comprises a main body 3, a measuring device 4, a toilet seat 5, and a cleaning nozzle 6. The toilet seat device 2 is placed on top of the toilet bowl 7, which is formed with a bowl portion 8 that receives excrement. The toilet seat device 2 is placed on top of the toilet bowl 7 so that the cleaning nozzle 6 advances into the bowl portion 8 before spraying cleaning water. The toilet seat device 2 may be attached detachably to the toilet bowl 7, or may be attached so as to be integrated with the toilet bowl 7.

The toilet seat device 2, using the measuring device 4 and other components, measures the biological information of the user of the toilet room R based on the fecal gas discharged into the bowl portion 8 of the toilet 7 installed in the toilet room R. The measuring device 4 has a suction device 10 and a gas detection device 20. The measuring device 4 will be described in detail in Figure 2.

As shown in FIG. 1, the toilet seat 5 is formed in an annular shape and is positioned along the edge (rim portion) of the bowl portion 8 in a position overlapping the opening of the toilet bowl 7. A user sits on the toilet seat 5. The toilet seat 5 functions as a seating portion that supports the buttocks of a seated user. In addition, a toilet lid 9 is attached to the toilet seat device 2 as necessary, and the toilet seat device 2 does not have to have a toilet lid 9.

The cleaning nozzle 6 is a nozzle for spraying water for cleaning. The cleaning nozzle 6 is configured to be movable forward and backward relative to the housing of the main body 3 by being driven by a driving source such as an electric motor (such as the nozzle motor 61 in FIG. 5). The cleaning nozzle 6 is also connected to a water source such as a water pipe (not shown). When the cleaning nozzle 6 is in an advanced position relative to the housing of the main body 3 (also called the "advanced position") as shown in FIG. 1, it sprays water from the water source onto the user's body to clean the private parts.

In FIG. 1, the cleaning nozzle 6 is shown in the advanced position. The cleaning nozzle 6 may also be used to clean the inside of the toilet bowl 7 (bowl portion 8, etc.). The cleaning nozzle 6 may be used to switch between a private parts cleaning mode for cleaning the private parts of the user and a toilet bowl cleaning mode for spraying water inside the toilet bowl 7. For example, the cleaning nozzle 6 may be used to switch between the private parts cleaning mode and the toilet bowl cleaning mode according to the control by the toilet seat device 2.

The operating device 30 is provided in the toilet room R. The operating device 30 is provided in a position where it can be operated by a user. The operating device 30 is provided in a position where it can be operated when the user is seated on the toilet seat 5. In FIG. 1, the operating device 30 is provided on the wall surface W on the left side as seen by a user seated on the toilet seat 5. Note that the operating device 30 may be provided in various ways, not limited to on a wall surface, as long as it is available to a user seated on the toilet seat 5. For example, the operating device 30 may be provided integrally with the toilet seat device 2.

The operating device 30 is connected to the toilet seat device 2 via a predetermined network so as to be able to communicate with each other via a wired or wireless connection. For example, the toilet seat device 2 and the operating device 30 may be connected in any manner as long as they are able to send and receive information, and may be connected to each other so as to be able to communicate with each other via a wired connection or a wireless connection.

The operation device 30 accepts various operations from the user via a display surface (e.g., display screen 31) using, for example, a touch panel function. The operation device 30 may also be equipped with switches and buttons, and accept various operations via the switches and buttons. The display screen 31 is, for example, a display screen of a tablet terminal or the like realized by a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. In other words, the operation device 30 accepts input from the user via the display screen 31, and also outputs to the user. The display screen 31 is a display device that displays various information.

The operation device 30 accepts user operations to control various functions provided in the toilet room R. The operation device 30 accepts user operations to control the execution of local cleansing by the toilet seat device 2. For example, the operation device 30 may have switches, buttons, etc. that accept the above-mentioned user operations, and execute various processes in response to the user touching the switches, buttons, etc. Note that the above is an example, and the operation device 30 may accept user operations to execute various processes.

The bioinformation measuring system 1 measures the bioinformation of the user of the toilet room R based on the fecal gas discharged into the bowl portion 8 of the toilet 7 installed in the toilet room R, using various configurations and processes described below. The bioinformation measuring system 1 executes control to appropriately measure the fecal gas. The bioinformation measuring system 1 may provide information to a user terminal such as a smartphone of the user (corresponding to the display means 300 in FIG. 3) based on the information collected by measurement, etc. The bioinformation measuring system 1 may also provide information to the operating device 30 (or display screen 31) of the toilet room R based on the information collected by measurement, etc.

<1-2. Configuration of the measuring device>
Next, the configuration of the measuring device 4 will be described with reference to Fig. 2. Fig. 2 is a plan view showing an example of the configuration of the measuring device according to the embodiment. In the example shown in Fig. 2, the measuring device 4 is disposed inside the main body 3 as an example. Fig. 2 illustrates the configuration of the measuring device 4 by removing the housing (cover) of the main body 3 where the measuring device 4 is disposed.

The measuring device 4 has a suction device 10 that sucks gas from within the bowl portion 8 of the toilet 7, and a gas detection device 20 that detects the components of the sucked gas.

The suction device 10 has a fan for sucking gas in the bowl portion 8 of the toilet 7. A duct 11 that communicates with the inside of the bowl portion 8 of the toilet 7 is connected to the suction device 10. The duct 11 functions as a flow path that allows the gas in the bowl portion 8 to flow into the measuring device 4. The suction device 10 drives the fan to suck gas in the bowl portion 8 using the duct 11 as a flow path. For example, the suction device 10 performs suction-related processing under the control of the control device 100. Note that when the suction device 10 is used in common with a deodorizing device or the like incorporated in the toilet seat device 2, the suction device 10 may be controlled by a control means (device) other than the control device 100.

The gas detection device 20 executes a process for detecting components of the gas sucked by the suction device 10. In FIG. 2, the gas detection device 20 is disposed after the suction device 10 when viewed from the bowl portion 8 side. Note that FIG. 2 is merely an example, and the gas detection device 20 may be disposed at any position as long as the gas sucked by the suction device 10 can be introduced. The gas detection device 20 is connected to a duct 12 that communicates with the outside of the main body portion 3. The duct 12 functions as a flow path for discharging the gas in the gas detection device 20 from the measurement device 4. For example, in response to the operation of the suction device 10, the gas in the gas detection device 20 is discharged outside the measurement device 4 using the duct 12 as a flow path.

For example, the gas detection device 20 executes processes related to gas detection under the control of the control device 100. The gas detection device 20 includes a gas sensor 40 that reacts to gas contained in the atmosphere. The gas sensor 40 detects a specific component of the gas.

For example, a semiconductor gas sensor is used as the gas sensor 40. The gas sensor 40 may be a hydrogen gas sensor capable of detecting hydrogen. The gas sensor 40 may be an odorous gas sensor capable of detecting odorous gas. The gas sensor 40 may be a methane gas sensor capable of detecting methane. For example, the gas detection device 20 has a plurality of gas sensors 40. The plurality of gas sensors 40 may include gas sensor 40a which is a hydrogen gas sensor, gas sensor 40b which is an odorous gas sensor, and gas sensor 40c which is a methane gas sensor. When the gas sensors 40a to 40c are described without making any particular distinction, they will be described as gas sensors 40.

It should be noted that the above is merely an example, and the gas sensor is not limited to the semiconductor gas sensor 40, and any type of sensor may be used. For example, the gas detection device 20 may have any one or more gas sensors, such as a _CO2 sensor, such as an infrared carbon dioxide concentration meter.

<1-3. Example of an overview of a biological information measurement system>
Next, an example of an overall overview of the biological information measuring system 1 will be described with reference to Fig. 3. Fig. 3 is a diagram showing an example of an overall overview of the biological information measuring system according to the embodiment. Note that the same points as those described in Figs. 1 and 2 will not be described as appropriate.

In FIG. 3, the bioinformation measurement system 1 includes a suction device 10, a gas detection device 20, a control device 100, and an estimation means 200. Although FIGS. 1 and 2 show a case in which the toilet seat device 2 has the suction device 10, the gas detection device 20, and the control device 100, this is not limited to the above. For example, the control device 100 may be provided separately from the suction device 10 and the gas detection device 20, and may control the suction device 10 and the gas detection device 20 by communicating with the suction device 10 and the gas detection device 20 wirelessly or via a wire. Furthermore, as described above, the suction device 10 may be controlled by a control means other than the control device 100.

The estimation means 200 is a computer (information processing device) having a function of executing estimation processing based on information acquired by detection by the gas detection device 20. For example, the estimation means 200 may be a cloud server (server device) located outside the toilet room R. In this case, the estimation means 200 is connected to a device (also called an "in-toilet device") located inside the toilet room R, such as the toilet seat device 2 or the gas detection device 20, via a predetermined network such as the Internet in a wired or wireless manner so as to be able to communicate with the device.

The estimation means 200 is connected to a device that displays information to a user, such as the display means 300, via a predetermined network such as the Internet, so as to be able to communicate with each other via wired or wireless connections. The estimation means 200 may be connected to devices such as the toilet device and the display means 300 in any manner as long as it is possible to send and receive information, and may be connected to the device via wired connections so as to be able to communicate with each other, or may be connected to the device via wireless connections so as to be able to communicate with each other. The estimation means 200 may be able to communicate with the control device 100.

The estimation means 200 performs estimation processing on the user's health condition using the information received from the in-toilet device. The data acquired so far may be stored in the estimation means 200 or in the display means 300. The estimation means 200 generates information for estimating the user's health condition (also called "health estimation information") or information related thereto based on the amount of health gas and odorous gas in the user's defecation gas. The estimation means 200 calculates a score based on the ratio of the amount of health gas and the amount of odorous gas in the user's defecation gas as the user's health estimation information. For example, the estimation means 200 may use any information such as a ratio or odor alone. The above is only one example, and the estimation means 200 may generate any information as the user's health estimation information. For example, the estimation means 200 may generate the following information as the user's health estimation information, or may generate health estimation information based on the following processing results.

For example, the estimation means 200 may estimate information on the intestinal condition of the user from the measured value. For example, the estimation means 200 may estimate information on the state of bacteria. In this case, for example, the estimation means 200 may estimate the occupancy rate of a certain bacteria, the amount or ratio of good bacteria to bad bacteria, etc. Also, for example, the estimation means 200 may estimate the state of metabolites. In this case, for example, the estimation means 200 may estimate the amount or ratio of useful substances and harmful substances, etc. For example, the estimation means 200 may estimate the state of intestinal pH. Also, the estimation means 200 may generate information in which the above information is scored or evaluated as good or bad. For example, the estimation means 200 may generate the above information as health estimation information of the user.

For example, the estimation means 200 may generate information on the user's health condition from the measured value. In this case, for example, the estimation means 200 may generate information evaluating the score or goodness/badness of the user's intestinal environment. For example, the estimation means 200 may generate information on the user's intestinal environment. For example, the estimation means 200 may generate information on the user's immunity. For example, the estimation means 200 may generate information on the user's ease of weight loss. For example, the estimation means 200 may generate information on a cholesterol index. For example, the estimation means 200 may generate information on a metabolic score. For example, the estimation means 200 may generate the above information as the user's health estimation information. Note that the above examples are merely illustrative, and the estimation means 200 may generate various information related to the user's health condition, not limited to the above.

The estimation means 200 estimates, based on the calculated ratio, that the greater the amount of health gases relative to odorous gases in the user's defecation gas, the healthier the user.The estimation means 200 estimates, based on the calculated ratio, that the greater the amount of odorous gases relative to health gases in the user's defecation gas, the unhealthier the user. Note that the above is merely an example, and the estimation means 200 may make any estimation based on the calculated score.The estimation means 200 transmits information to be provided to the user to the display means 300.The estimation means 200 transmits the calculated score as the user's estimated health information to the display means 300 used by the user.

The estimation means 200 is not limited to a cloud server (server device), and may be any device. In other words, the device configuration and arrangement of the estimation means 200 may be any form as long as the desired processing can be realized. For example, the estimation means 200 may be a mobile terminal (device) such as a laptop computer that can be carried by an administrator of the bioinformation measurement system 1. The estimation means 200 may also be disposed in the toilet room R. For example, the estimation means 200 may be configured to be disposed in the toilet room R. For example, the function of the estimation means 200 may be possessed by the toilet seat device 2. In this case, the control device 100 may have the function of the estimation means 200.

The display means 300 is a display device (computer) that displays information to be provided to a user. For example, the display means 300 may be a user terminal (mobile terminal) owned by the user. In this case, the display means 300 is realized by, for example, a smartphone, a mobile phone, a PDA (Personal Digital Assistant), a tablet terminal, a notebook PC (Personal Computer), etc. For example, the display means 300 is connected to devices included in the bioinformation measurement system 1, such as the estimation means 200, via a specified network so as to be able to communicate with each other via wired or wireless communication.

The display means 300 transmits and receives information to and from the estimation means 200. The display means 300 receives information to be provided to the user from the estimation means 200. The display means 300 receives a score calculated as the user's estimated health information from the estimation means 200. The display means 300 displays information including the score calculated as the user's estimated health information.

In FIG. 3, the display means 300 displays the score calculated as the user's health estimation information as the user's intestinal environment score. For example, the display means 300 displays the user's intestinal environment score in chronological order for each date and time of excretion. The display means 300 displays the target score value, information showing the change in the user's intestinal environment score over time, and text information showing the evaluation. For example, the display means 300 may request information from the estimation means 200 and display the information obtained from the estimation means 200.

Note that the above is merely an example, and the bioinformation measuring system 1 can adopt any device configuration as long as it can realize the desired processing. In the bioinformation measuring system 1, the toilet seat device 2 may have a configuration other than the display means 300. For example, the toilet seat device 2 may have a measuring device 4, a control device 100, and an estimation means 200. Also, for example, the display means 300 does not have to be included in the bioinformation measuring system 1, or may be included in the bioinformation measuring system 1. For example, when the display means 300 is the operating device 30 of the toilet room R, the display means 300 may be included in the bioinformation measuring system 1. In this case, the operating device 30 has a function of displaying estimated health information of the user.

<1-4. User behavior and system operation>
Next, an example of the relationship between the movement (behavior) of a user who uses the biological information measuring system 1 and the movement (operation) of the biological information measuring system 1 will be described with reference to Fig. 4. Fig. 4 is a diagram showing an example of the relationship between the behavior of a user and the operation of the system.

First, referring to FIG. 4, the flow of actions of a user who uses toilet room R to defecate will be described. A user of toilet room R performs actions in stages 1 to 7 as shown in FIG. 4.

First, the user performs the action of entering toilet room R as the first stage action. After entering toilet room R, the user performs the action of undressing inside toilet room R as the second stage action. After undressing, the user performs the action of sitting on the toilet seat 5 of toilet room R as the third stage action. After sitting on the toilet seat 5, the user performs the action of defecating into the bowl portion 8 of the toilet 7 as the fourth stage action.

After defecating, the user performs finishing actions such as using the toilet seat device 2's local cleansing function or using toilet paper to clean the local area after defecation as a fifth stage of action. Once the user has completed finishing after defecation, the user stands up and leaves the toilet seat 5 as a sixth stage of action. After leaving the seat, the user performs seventh stage of action such as flushing the toilet bowl 7, leaving the toilet room R, and checking the results of the defecation gas analysis using the vital information measurement system 1.

Next, the flow of operations of the bioinformation measurement system 1 corresponding to the above-mentioned user's behavior will be described. The bioinformation measurement system 1 starts aspirating gas before the user who has entered the toilet room R starts to defecate. In FIG. 4, the bioinformation measurement system 1 starts aspirating gas between the first and third stages. In this way, the bioinformation measurement system 1 completes measurement preparation before the user defecates. For example, the bioinformation measurement system 1 aspirates the gas in the bowl portion 8 before the user defecates, thereby aspirating gas that serves as a reference (baseline) for comparison with the gas after the user defecates. For example, the bioinformation measurement system 1 calculates the increment (amount of increase) from the baseline to estimate (calculate) the amount of components contained in the defecation gas.

The biometric information measuring system 1 measures the defecation gases of a seated user from the time the user defecates until the user leaves the seat. In FIG. 4, the biometric information measuring system 1 measures the defecation gases of the user from before the fourth stage until the fifth stage. In this way, the biometric information measuring system 1 aspirates gases at any time while the user is seated and acquires data.

After the measurement of the defecation gas is completed, the bioinformation measurement system 1 performs an analysis of the defecation gas. In FIG. 4, the bioinformation measurement system 1 performs an analysis of the user's defecation gas between the sixth and seventh stages. As a result, after the user finishes defecation, the bioinformation measurement system 1 performs an analysis based on the information of the defecation gas (results) acquired about the user and calculates a score. The bioinformation measurement system 1 analyzes the user's defecation gas and provides the analysis results to the user. Note that the analysis and the provision of the results are not limited to the sixth to seventh stages, and may be performed at any timing as long as the information can be provided. For example, the bioinformation measurement system 1 may provide various information such as the analysis and results at any timing, such as during measurement or as soon as the measurement is completed.

<1-5. Functional configuration of the toilet seat device>
Next, the functional configuration of the toilet seat device 2 will be described with reference to Fig. 5. Fig. 5 is a block diagram showing an example of the configuration of the toilet seat device according to the embodiment. As shown in Fig. 5, the toilet seat device 2 includes a human sensor 32, a seating sensor 33, an illuminance sensor 34, a control device 100, a nozzle motor 61, and a cleaning nozzle 6.

The configuration of the toilet seat device 2 shown in FIG. 5 is merely an example, and when each component is provided separately, the toilet seat device 2 may have only the toilet seat 5. Thus, the configuration of the toilet seat device 2 shown in FIG. 5 is merely an example, and the toilet seat device 2 may have any configuration. The human presence sensor 32, the seat sensor 33, the illuminance sensor 34, etc. may be disposed at any location as long as the desired sensing is possible. In addition, the toilet seat device 2 only needs to be capable of detecting a user sitting on the toilet seat 5, and may have at least one of the human presence sensor 32, the seat sensor 33, and the illuminance sensor 34. The toilet seat device 2 transmits and receives information to and from an information processing device such as the estimation means 200 via a predetermined network (such as the Internet) by a communication device (such as the communication unit 110 of the control device 100 in FIG. 6) in a wired or wireless manner.

The human presence sensor 32 has a function of detecting a human body. For example, the human presence sensor 32 is used as a seating detection means for detecting a user sitting on the toilet seat 5. For example, the human presence sensor 32 is realized by a pyroelectric sensor using an infrared signal. For example, the human presence sensor 32 may be realized by a μ (micro) wave sensor. For example, the human presence sensor 32 is an infrared light emitting/receiving distance sensor, and may detect a human body present near the toilet seat 5 immediately before the person (user) sits on the toilet seat 5, or a user sitting on the toilet seat 5.

The human presence sensor 32 also functions as a seat leaving detection sensor that detects when a user leaves the toilet seat 5. The human presence sensor 32 detects whether the user is seated on the toilet seat 5. The human presence sensor 32 outputs a detection signal to the control device 100. Note that the above is just one example, and the human presence sensor 32 may detect a human body by various means other than the above. For example, the human presence sensor 32 detects a person (such as a user) approaching the toilet seat 5.

The seating sensor 33 has a function of detecting a person sitting on the toilet seat device 2. For example, the seating sensor 33 is used as a seating detection means for detecting a user sitting on the toilet seat 5. For example, the seating sensor 33 is realized by a load sensor or the like. The seating sensor 33 detects that a user is sitting on the toilet seat 5. The seating sensor 33 is capable of detecting a user sitting on the toilet seat 5.

The seating sensor 33 also functions as a seating detection sensor that detects when a user leaves the toilet seat 5. The seating sensor 33 detects whether the user is seated on the toilet seat 5. Note that the above is just one example, and the seating sensor 33 may detect whether a person is seated on the toilet seat device 2 by various means other than the above. The seating sensor 33 outputs a seating detection signal to the control device 100.

The illuminance sensor 34 is a sensor that detects illuminance. For example, the illuminance sensor 34 is used as a seating detection means that detects when a user sits on the toilet seat 5. For example, the illuminance sensor 34 is disposed in a position facing the bowl portion 8, and detects the illuminance inside the bowl portion 8.

The illuminance sensor 34 also functions as a seat-leaving detection sensor that detects when a user leaves the toilet seat 5. The illuminance sensor 34 detects whether the user is seated on the toilet seat 5. Note that the above is merely an example, and the illuminance sensor 34 may be placed in any position as long as it is possible to detect when a user is seated on the toilet seat 5 based on the illuminance.

The control device 100 controls various configurations and processes. The control device 100 is a computer (information processing device) that executes various information processes related to gas measurement, etc. The control device 100 may be any device that has the configuration required for control, and may be, for example, a microcomputer.

The control device 100 controls various components for measuring gas. For example, the control device 100 controls various valves such as a switching valve and a shut-off valve. For example, the control device 100 controls the flow path through which the gas flows by controlling the switching valve. For example, the control device 100 switches the flow path through which the gas flows by switching the switching valve. The control device 100 controls the gas detection device 20.

The control device 100 controls the gas detection device 20 to start and stop defecation gas measurement in response to the user's use of the toilet room R. For example, the control device 100 instructs the gas detection device 20 to start defecation gas measurement in response to the user sitting on the toilet seat 5, and instructs the gas detection device 20 to stop defecation gas measurement in response to the user leaving the toilet seat 5.

The control device 100 transmits control information to the gas detection device 20 via a wired connection. The control device 100 may also transmit control information to the gas detection device 20 wirelessly. For example, when the control device 100 is configured as a separate device from the toilet seat device 2, it may transmit control information for the gas detection device 20 to the toilet seat device 2 wirelessly. In this case, the control device of the toilet seat device 2 may control the gas detection device 20 based on the control information received.

The control device 100 may control the suction device 10. For example, the control device 100 controls the start and stop of suction by the suction device 10. The control device 100 transmits control information to the suction device 10 via a wired connection. The control device 100 may also transmit control information to the suction device 10 wirelessly. For example, when the control device 100 is configured as a separate device from the toilet seat device 2, it may transmit control information for the suction device 10 to the toilet seat device 2 wirelessly. In this case, the control device of the toilet seat device 2 may control the suction device 10 based on the control information received.

The control device 100 also controls various components of the bioinformation measurement system 1 other than those described above. The control device 100 controls the nozzle motor 61, etc. The control device 100 controls the nozzle motor 61, etc. based on a signal transmitted from the operation device 30.

The control device 100 controls the nozzle motor 61 based on a control instruction signal for local cleaning transmitted from the operating device 30. The control device 100 controls the nozzle motor 61 to move the cleaning nozzle 6 forward and backward. The control device 100 may control various mechanisms other than the nozzle motor 61. For example, the control device 100 controls the opening and closing of an electromagnetic valve that functions as a valve that controls the flow of a fluid by an electromagnetic method. For example, the control device 100 controls the electromagnetic valve to switch on and off the supply of tap water from a water supply pipe, for example.

The control device 100 transmits control information to the nozzle motor 61 etc. via a wired connection. The control device 100 may also transmit control information to the nozzle motor 61 etc. wirelessly. For example, when the control device 100 is configured as a separate device from the toilet seat device 2, it may transmit control information for the nozzle motor 61 etc. to the toilet seat device 2 wirelessly. In this case, the control device of the toilet seat device 2 may control the nozzle motor 61 etc. based on the control information received.

The control device 100 may also control the toilet lid 9 and toilet seat 5 as shown in FIG. 1. In this case, the control device 100 controls the toilet lid 9 and toilet seat 5 based on a signal transmitted from the operation device 30. The control device 100 controls the toilet lid 9 based on a control instruction signal transmitted from the operation device 30 regarding opening and closing of the toilet lid. The control device 100 controls the toilet seat 5 based on a control instruction signal transmitted from the operation device 30 regarding opening and closing of the seat. The control device 100 transmits control information to the toilet lid 9 and toilet seat 5 via a wired connection. The control device 100 may also transmit control information to the toilet lid 9 and toilet seat 5 wirelessly.

The control device 100 determines whether a user has been detected as sitting by seating detection means such as the human sensor 32, seating sensor 33, and illuminance sensor 34. The control device 100 determines whether a user has been detected as sitting on the toilet seat 5 by defecation behavior use prediction information based on detection by the seating detection means obtained from the seating detection means.

The nozzle motor 61 is a drive source (motor) that drives the cleaning nozzle 6 to move forward and backward. The nozzle motor 61 controls the cleaning nozzle 6 to move forward and backward relative to the main body 3. The nozzle motor 61 controls the cleaning nozzle 6 to move forward and backward in response to instructions from the control device 100.

5 shows an example of a configuration in which the toilet seat device 2 includes the control device 100, but the control device 100, the human sensor 32, the seat sensor 33, the illuminance sensor 34, and the like may be configured as devices separate from the toilet seat device 2. For example, the control device 100 may be configured as a device separate from the toilet seat device 2. For example, the control device 100 may be a server device and may be located at a position away from the toilet seat device 2. In this case, the control device 100 communicates with each device, such as the toilet seat device 2, the human sensor 32, the seat sensor 33, and the illuminance sensor 34, and receives various information from each device. In this case, the toilet seat device 2 may have a configuration (such as a control circuit) for controlling various components of the toilet seat device 2, such as the nozzle motor 61. Note that the above is merely an example, and the bioinformation measurement system 1 can adopt any device configuration as long as it is capable of performing the desired processing.

<1-6. Functional configuration of the control device>
Hereinafter, the functional configuration of the control device will be described with reference to Fig. 6. Fig. 6 is a block diagram showing an example of the configuration of the control device according to the embodiment. As shown in Fig. 6, the control device 100 has a communication unit 110, a storage unit 120, and a control unit 130. Note that the configuration of the control device 100 is not limited to the configuration shown in Fig. 6, and may be other configurations as long as the desired processing can be realized. For example, the control device 100 does not need to have the communication unit 110.

The communication unit 110 is realized, for example, by a communication circuit or the like. The communication unit 110 is connected to a predetermined network by wire or wirelessly, and transmits and receives information to and from an external information processing device. For example, the communication unit 110 is connected to a predetermined network by wire or wirelessly, and transmits and receives information to and from other devices such as the operation device 30. Note that the communication unit 110 may be configured as a device (communication device) separate from the control device 100, and may be included in the toilet seat device 2.

The storage unit 120 is realized, for example, by a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 is a computer-readable recording medium that non-temporarily records data used by various information processing programs, etc.

The memory unit 120 according to the embodiment stores various information required for processing. The memory unit 120 stores various information acquired from other devices such as various sensors. The memory unit 120 stores various information used in various information processing. The memory unit 120 stores information used in various processing. For example, the memory unit 120 stores information related to thresholds used in processing, such as a first threshold, a second threshold, etc.

The storage unit 120 stores information indicating a predetermined condition used to determine whether or not the information can be changed. The storage unit 120 stores information indicating the predetermined condition including at least one of the following: the first calculated value or the second calculated value exceeds a first threshold value, or the third calculated value falls below a second threshold value that is smaller than the first threshold value. The storage unit 120 stores information indicating the predetermined condition including the second calculated value exceeds a zeroth calculated value corresponding to odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor. The storage unit 120 functions as a storage means for storing past first information. The storage unit 120 stores various types of history information such as the results of past estimation processes and information output in the past.

Returning to FIG. 6, the explanation will be continued. The control unit 130 is realized, for example, by an MPU (Micro Processing Unit) or a CPU (Central Processing Unit) executing a program stored inside the control device 100 (for example, various information processing programs related to the present disclosure) using a RAM or the like as a working area. The control unit 130 may also be realized, for example, by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 6, the control unit 130 has an acquisition unit 131, a processing unit 132, and an output unit 133, and realizes or executes the functions and actions of the information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 6, and may be other configurations as long as they perform the information processing described below.

The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various types of information from the storage unit 120. The acquisition unit 131 receives information from other devices. The acquisition unit 131 receives information (detection information, etc.) detected by various sensors from the various sensors.

The acquisition unit 131 acquires information (detection information, etc.) detected by the seating detection means from the seating detection means. The acquisition unit 131 receives information (detection information, etc.) detected by at least one of the human sensor 32, the seating sensor 33, and the illuminance sensor 34 from that sensor.

The acquisition unit 131 acquires defecation action use prediction information based on detection by the seating detection means. For example, the acquisition unit 131 acquires defecation action use prediction information that indicates that the user is sitting.

The processing unit 132 performs various processes. The processing unit 132 performs various processes using information stored in the memory unit 120. The processing unit 132 controls the gas detection device 20.

The processing unit 132 performs a judgment process. The processing unit 132 performs a judgment process using various information stored in the memory unit 120. The processing unit 132 uses various information acquired by the acquisition unit 131 to determine whether or not to execute reference value control.

The processing unit 132 performs a calculation process. The processing unit 132 performs a calculation process using various information stored in the storage unit 120. The processing unit 132 performs a calculation process using various information acquired by the acquisition unit 131.

The processing unit 132 calculates various pieces of information related to the gas. The processing unit 132 calculates values based on the measured values measured by the gas detection device 20. The processing unit 132 calculates the resistance value of the sensor element based on the voltage value measured by the gas sensor 40. For example, the processing unit 132 calculates the resistance value of the sensor element from the measured voltage value using a function that indicates the relationship between the voltage value and the resistance value of the sensor element. The processing unit 132 calculates the reciprocal of the resistance value of the sensor element (also called the "calculated value") using formula (1).

The processing unit 132 may calculate the gas concentration based on the calculated resistance value of the sensor element. In this case, the processing unit 132 calculates the gas concentration from the calculated resistance value using a function that indicates the relationship between the resistance value and the gas concentration.

The processing unit 132 executes an estimation process to estimate information for estimating the health condition of the user (health estimation information) or information related thereto, based on a first calculated value corresponding to hydrogen gas obtained based on the detection result of the first gas sensor, gas sensor 40a, and a third calculated value corresponding to odorous gas. Note that when the estimation means 200 performs the estimation process, the processing unit 132 does not need to perform the estimation process.

The processing unit 132 calculates a second calculation value corresponding to the hydrogen gas of the gas sensor 40b based on a plurality of calculation values corresponding to the hydrogen gas contained in the gas. The processing unit 132 calculates a third calculation value corresponding to the odorous gas based on the detection result of the gas sensor 40b and the second calculation value. The processing unit 132 calculates the second calculation value using a plurality of calculation values including the first calculation value corresponding to the hydrogen gas obtained based on the detection result of the gas sensor 40a.

The processing unit 132 calculates a second calculated value which is a statistical value of multiple calculated values obtained by measuring the gas in the sealed space multiple times with the gas sensor 40a. The processing unit 132 calculates a second calculated value which is a statistical value of multiple calculated values obtained by measuring the gas in the storage unit multiple times. The processing unit 132 calculates a second calculated value which is a statistical value of one or more calculated values obtained by measuring the gas in the flow path once or multiple times.

The processing unit 132 calculates a second calculation value using a plurality of calculation values including the first calculation value and a fourth calculation value corresponding to hydrogen gas obtained based on the detection result of the gas sensor 40c. For example, the processing unit 132 determines that the user's defecation gas does not contain methane gas if the difference between the amount or concentration calculated from the first calculation value and the amount or concentration calculated from the fourth calculation value is equal to or less than a predetermined value. For example, the processing unit 132 determines that the user's defecation gas contains methane gas if the difference between the amount or concentration calculated from the first calculation value and the amount or concentration calculated from the fourth calculation value is greater than a predetermined value.

When the processing unit 132 determines that the user's fecal gas contains methane gas, it uses the gas sensor 40c as a sensor for detecting methane gas. When the processing unit 132 determines that the user's fecal gas does not contain methane gas, it uses the gas sensor 40c as a sensor for detecting hydrogen gas.

The processing unit 132 calculates a first calculation value corresponding to hydrogen gas based on the detection result of the first gas sensor, gas sensor 40a. The processing unit 132 calculates a second calculation value corresponding to hydrogen gas of the second gas sensor, gas sensor 40b, based on the first calculation value. When gas sensor 40c is used as a sensor for detecting hydrogen gas, the processing unit 132 calculates the second calculation value based on the first calculation value and the fourth calculation value. The processing unit 132 calculates a third calculation value corresponding to the odorous gas based on the detection result of gas sensor 40b and the second calculation value.

The processing unit 132 performs a correction on at least one of the zeroth calculation value, the second calculation value, and the third calculation value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the gas sensor 40b. As a correction, the processing unit 132 performs a correction to decrease the second calculation value or to increase the zeroth calculation value.

The processing unit 132 performs a correction when the first calculated value or the second calculated value exceeds the first threshold value, or when the third calculated value falls below a second threshold value that is smaller than the first threshold value. The processing unit 132 performs a correction when the second calculated value exceeds the zeroth calculated value. The processing unit 132 has a correction value that is preset as a value corresponding to odorous gas, and when the third calculated value falls below the third threshold value, the processing unit 132 replaces the third calculated value with the correction value as a correction.

When at least one of the first calculated value, the second calculated value, and the third calculated value satisfies a predetermined condition, the processing unit 132 performs control to change the first information, which is the user's health condition or information related to the health condition output by the output means, without being based on the third calculated value. When the predetermined condition is satisfied, the processing unit 132 changes the value included in the first information to a preset setting value.

The processing unit 132 changes the first information based on the past first information stored in the storage means. If a predetermined condition is satisfied, the processing unit 132 determines to output the second information regarding the measurement accuracy. If a predetermined condition is satisfied, the processing unit 132 determines to output the third information regarding the measurement error.

The output unit 133 executes an output process that outputs various information. The output unit 133 functions as a transmission unit that transmits various information. The output unit 133 executes the output process by transmitting information to an external information processing device. The output unit 133 transmits information to an external information processing device. For example, the output unit 133 transmits various information to the estimation means 200. For example, the output unit 133 transmits various information to an administrator device such as a personal computer or smartphone used by an administrator of the estimation means 200. The output unit 133 may also execute the output process by transmitting information to the operation device 30 (or the display screen 31).

The output unit 133 transmits to the estimation unit 200 various information used by the estimation unit 200 in the estimation process. The output unit 133 transmits information indicating the measurement value measured by the gas detection device 20. The output unit 133 transmits information indicating the calculation value calculated by the processing unit 132.

The output unit 133 outputs each piece of information such as content. When a predetermined condition is satisfied, the output unit 133 outputs information including a changed score in which the score, which is the original data, has been changed. When a predetermined condition is not satisfied, the output unit 133 outputs information including the score, which is the original data. When a predetermined condition is satisfied, the output unit 133 outputs second information regarding measurement accuracy. When a predetermined condition is satisfied, the output unit 133 outputs third information regarding measurement error.

<1-7. Gas sensor>
From here, a configuration example of a gas sensor will be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the configuration of a gas sensor. Specifically, Fig. 7 is a diagram showing an example of a circuit configuration CR of a semiconductor gas sensor 40.

The gas sensor 40 is an arrangement of a sensor element and a resistance element for measurement. In FIG. 7, the gas sensor 40 has a circuit configuration CR in which a sensor element (corresponding to the sensor resistor RS in FIG. 7) and a resistance element for measurement (corresponding to the resistance element RL in FIG. 7) are connected in series.

In the semiconductor gas sensor 40, a value related to the amount of gas is calculated using the following formula (1). Formula (1) corresponds to the circuit configuration CR shown in FIG. 7 and is the same formula as the function FC1 in FIG. 7.

RS = ((Vc-Vout)/Vout)×RL... (1)

"RS" in formula (1) indicates the resistance value of the sensor element. For example, "RS" in formula (1) indicates the resistance value of the sensor resistor RS, which is an example of a value calculated based on the measurement by the gas sensor 40. In this way, formula (1) is a formula for calculating the resistance value.

"RL" in formula (1) indicates the resistance value of the resistive element RL. "Vc" in formula (1) indicates the voltage value of the circuit voltage Vc. "Vout" in formula (1) indicates the voltage value of the output voltage Vout at the resistive element. For example, "Vout" in formula (1) indicates the voltage value of the resistive element RL, which is an example of a measured value measured by the gas sensor 40.

The resistance value of the sensor resistor RS in formula (1) is an index related to the amount of gas. The biological information measurement system 1 calculates an index (resistance value) related to the amount of gas from a measured value (voltage value), and calculates the amount of gas from the calculated resistance value. Although a detailed explanation of the principle of a semiconductor gas sensor will be omitted, for example, "RH" shown only in the circuit configuration CR in FIG. 7 corresponds to a heater (resistance) for heating the sensor element, and " _VH " corresponds to the heater voltage. The gas sensor in the present invention is not limited to a semiconductor sensor, and any sensor that satisfies the above formula (1) can be used as a substitute.

<1-8. Overview of processing in the biological information measuring system>
From here, a description will be given of a processing example based on the above-mentioned configuration of the biological information measuring system 1. First, a description will be given of the gas sensor and the relationship between the value based on the measurement of the gas sensor and the amount of gas, etc., prior to the description of various processes in the biological information measuring system 1. Note that the description of the same points as those described above will be omitted as appropriate.

<1-8-1. Example of relationship between gas sensor measurement and quantity>
First, the relationship between the measurement and the amount of gas sensor will be described with reference to Fig. 8. Fig. 8 is a diagram showing an example of the relationship between the value based on the measurement of the sensor and the amount of gas.

For example, FIG. 8 shows graph GR11, which is a log-log graph of the calculated value (the reciprocal of the resistance value) of component A based on measurements made with a gas sensor, and the gas amount of component A (also simply referred to as "amount"). Specifically, in graph GR11 in FIG. 8, the vertical axis represents the calculated value of component A "1/kΩ," and the horizontal axis represents the amount of component A "mL."

The points (○) in graph GR11 correspond to actual measurement results, for example, performed to derive the relationship between gas sensor measurement and quantity, and indicate the calculated value of component A obtained from the results of actual measurement with a gas sensor for a gas containing component A in an amount corresponding to the horizontal axis. Note that, for the sake of explanation, only five points (actual measurement results) are shown in FIG. 8, but the actual measurement results may be six or more, or four or less.

Line LN1 on graph GR11 shows the relationship between the calculated value derived from component A and the gas amount of component A. The equation (function) corresponding to line LN1 is a regression equation for calculating (estimating) the gas amount for component A from the calculated value. For example, the equation (function) corresponding to line LN1 is derived by regression analysis using the points (actual measurement results) on graph GR11.

In this way, the calculated value derived from component A based on the measurement of the gas sensor and the amount of component A both have a linear correlation on the log scale. Therefore, the gas amount of component A can be calculated from the calculated value such as the peak value of the gas sensor. In other words, the respective gas amounts can be calculated from the calculated values based on the measurements of multiple gas sensors. By calculating the gas amount of each component, the bioinformation measurement system 1 can calculate the ratio relationship between the amount of health gas, which is the sum of the gas amounts of components corresponding to health gas, and the amount of odorous gas, which is the sum of the gas amounts of components corresponding to odorous gas.

<1-8-2. Examples of gas sensors and reaction components>
Next, an example of a gas sensor and a reactive component will be described with reference to FIG. 9. FIG. 9 is a diagram showing an example of a gas sensor and a reactive component. A correspondence table TB11 in FIG. 9 shows the correspondence between each gas sensor and the component to which the gas sensor reacts. In FIG. 9, a case where the gas sensor reacts to the component is indicated by "O", and a case where the gas sensor does not react to the component is indicated by "X". As shown in the correspondence table TB11 in FIG. 9, each gas sensor reacts to a different component.

9, the first gas sensor (hydrogen gas sensor) is a sensor that responds only to hydrogen (H ₂ ). For example, the gas sensor 40a of the biological information measurement system 1 is a first gas sensor (hydrogen gas sensor). For example, the gas sensor 40a of the biological information measurement system 1 is a gas sensor that responds only to hydrogen, i.e., a gas sensor in which the resistance value of the sensor resistor RS of the formula (1) changes with a change in the amount of hydrogen.

When the first gas sensor shown in Figure 9 reacts only to hydrogen, the calculated value derived from hydrogen contained in the user's bowel gas is expressed by the following formula (2).

1/R _{s_1} =1/R _air +1/R _{H2_1} ... (2)

In the formula (2), " _{Rs_1} " corresponds to the resistance value of the sensor resistor RS of the first gas sensor. For example, " _{Rs_1} " in the formula (2) is the resistance value of the sensor resistor RS calculated from the measurement value of the first gas sensor.

In equation (2), "R _air " corresponds to the resistance value derived from the baseline in the first gas sensor. For example, "R _air " in equation (2) is the resistance value derived from the air in bowl portion 8 before the user's bowel movement gas is released.

Furthermore, "R _{H2_1} " in formula (2) corresponds to the resistance value due to hydrogen gas in the first gas sensor. For example, "R _{H2_1} " in formula (2) is the resistance value due to hydrogen contained in the defecation gas released by the user.

"R _{s_1} " in formula (2) and "R _air " in formula (2) are calculated values based on the measurement by the first gas sensor and are detected (acquired) by the measurement by the first gas sensor. Therefore, the biological information measurement system 1 calculates "R _{H2_1} " in formula (2) by substituting the value obtained by the measurement by the first gas sensor into formula (2).

9, the second gas sensor (odor gas sensor) is a sensor that reacts to odor gas (H ₂ S, etc.) but also to hydrogen (H ₂ ). For example, the gas sensor 40b of the biological information measurement system 1 is the second gas sensor (odor gas sensor). For example, the gas sensor 40b is a gas sensor that reacts to odor gas and hydrogen, that is, the resistance value of the sensor resistor RS in formula (1) changes with changes in the amount of odor gas and the amount of hydrogen. In this embodiment, the components of the detection unit used in the hydrogen gas sensor are adjusted so that it reacts strongly to hydrogen gas, and the detection unit used in the odor gas sensor is adjusted so that it reacts strongly to odor gas.

When the second gas sensor shown in Figure 9 reacts to odorous gases and hydrogen, the calculated value derived from the odorous gas contained in the user's fecal gas is expressed by the following formula (3).

1/R _{s_2} =1/R _air +1/R _{H2_2} +1/R _{H2S_2} ... (3)

In the formula (3), " _{Rs_2} " corresponds to the resistance value of the sensor resistor RS of the second gas sensor. For example, " _{Rs_2} " in the formula (3) is the resistance value of the sensor resistor RS calculated from the measurement value of the second gas sensor.

"R _air " in equation (3) corresponds to the resistance value derived from the baseline in the second gas sensor. For example, "R _air " in equation (3) is the resistance value derived from the air in bowl portion 8 before the user's bowel movement gas is released.

Furthermore, "R _{H2_2} " in formula (3) corresponds to the resistance value due to hydrogen gas in the second gas sensor. For example, "R _{H2_2} " in formula (3) is the resistance value due to hydrogen contained in the defecation gas released by the user.

Furthermore, "R _{H2S_2} " in formula (3) corresponds to the resistance value due to odorous gas in the second gas sensor. For example, "R _{H2S_2} " in formula (3) is the resistance value due to odorous gas such as hydrogen sulfide contained in the defecation gas released by the user.

"R _{s — 2} " in equation (3) and "R _air " in equation (3) are calculated values based on measurements by the second gas sensor and are detected (acquired) by measurements by the second gas sensor, but two variables, "R _{H2 —} 2 " and "R _{H2S — 2} ", are undetermined in equation (3). Therefore, the biological information measurement system 1 cannot determine the value of "R _{H2S — 2} " in equation (3) using equation (3) alone. Therefore, the biological information measurement system 1 calculates (estimates) the amount of odorous gas using information from gas sensors other than the second gas sensor, which will be described later.

9, the third gas sensor (methane gas sensor) is a sensor that reacts to methane ( _CH4, etc.) but also reacts to hydrogen ( _H2 ). For example, the gas sensor 40c of the biological information measurement system 1 is the third gas sensor (methane gas sensor). For example, the gas sensor 40c is a gas sensor that reacts to methane and hydrogen, that is, the resistance value of the sensor resistor RS of the formula (1) changes with changes in the amount of methane and the amount of hydrogen.

9, the fourth gas sensor (carbon dioxide gas sensor) is a sensor that reacts only to carbon dioxide (CO ₂ ). For example, the CO ₂ sensor of the biological information measurement system 1 is the fourth gas sensor (carbon dioxide gas sensor). For example, the CO ₂ sensor is an infrared gas sensor that reacts only to carbon dioxide.

<1-8-3. Example of calculating the amount of odorous gas>
As described above, the calculated value (reciprocal of the resistance value) of the second gas sensor (odor gas sensor) is the sum of several types of components. For example, the calculated value (reciprocal of the resistance value) of the second gas sensor is the sum of the calculated value (reciprocal of the resistance value) of the baseline and the calculated value (reciprocal of the resistance value) derived from the reacting components (odor gas + health gas). Therefore, the bioinformation measuring system 1 derives the calculated value derived from each component by simultaneous equations with equations corresponding to multiple gas sensors. This point will be explained with reference to FIG. 10. FIG. 10 is a diagram showing an example of a calculation process for the amount of odor gas.

The function group FG11 in Figure 10 shows the equations (2) to (6) used to calculate (estimate) the amount of odorous gas and their corresponding relationships.

Equations (2) and (4) show the breakdown of the calculated value for the first gas sensor (hydrogen gas sensor) and the relationship between the calculated value and the amount of gas. Note that equation (2) in FIG. 10 is the same as equation (2) described above, and a detailed explanation is omitted.

LogH2 amount = log(1/ _{RH2_1} )*CE1+CS1... (4)

In equation (4), "H2 amount" is the amount of hydrogen gas calculated (estimated) by measurement with the first gas sensor, and "logH2 amount" corresponds to the logarithmic expression (logarithmic value) of the amount of hydrogen gas.

In equation (4), “R _{H2_1} ” is the resistance value derived from hydrogen gas based on the measurement by the first gas sensor, and “log(1/R _{H2_1} )” corresponds to the logarithm (logarithmic value) of the calculated value derived from hydrogen gas (the reciprocal of the resistance value).

"CE1" in formula (4) is a coefficient related to "log(1/R _{H2 —} 1 )" and is set to an arbitrary value such as "-0.4...". Also, "CS1" in formula (4) is a constant added to "log(1/R _{H2 —} 1 )*CE1" and is set to an arbitrary value such as "1.1...". For example, an administrator of the vital information measuring system 1 derives the coefficient "CE1" and the constant "CS1" included in formula (4) by actual measurements or the like, and sets formula (4).

Equations (3), (5), and (6) show the breakdown of the calculated value in the second gas sensor (odor gas sensor) and the relationship between the calculated value and the amount of gas. Note that equation (3) in Figure 10 is the same as equation (3) described above, and a detailed explanation is omitted.

LogH2 amount = log(1/ _{RH2_2} )*CE2+CS2... (5)

In equation (5), "H2 amount" is the amount of hydrogen gas calculated (estimated) by measurement with the second gas sensor, and "logH2 amount" corresponds to the logarithmic expression (logarithmic value) of the amount of hydrogen gas.

In equation (5), “R _{H2_2} ” is the resistance value derived from hydrogen gas based on the measurement by the second gas sensor, and “log(1/R _{H2_2} )” corresponds to the logarithm (logarithmic value) of the calculated value derived from hydrogen gas (the reciprocal of the resistance value).

"CE2" in formula (5) is a coefficient related to "log(1/R _{H2 —} 2 )" and is set to an arbitrary value such as "-0.8...". Also, "CS2" in formula (5) is a constant added to "log(1/R _{H2 —} 2 )*CE2" and is set to an arbitrary value such as "2.0...". For example, an administrator of the vital information measuring system 1 derives the coefficient "CE2" and the constant "CS2" included in formula (5) by actual measurements or the like, and sets formula (5).

LogH2S amount = log(1/R _{H2S_2} )*CE3+CS3... (6)

The "H2S amount" in equation (5) is the amount of odorous gas calculated (estimated) by measurement with the second gas sensor, and the "logH2S amount" corresponds to the logarithmic expression (logarithmic value) of the amount of odorous gas.

In equation (5), "R _{H2S_2} " is the resistance value derived from the odorous gas based on the measurement by the second gas sensor, and "log(1/R _{H2S_2} )" corresponds to the logarithmic expression (logarithmic value) of the calculated value derived from the odorous gas (the reciprocal of the resistance value).

"CE3" in formula (5) is a coefficient related to "log(1/R _{H2S —} 2 )" and is set to an arbitrary value such as "-0.7...". Also, "CS3" in formula (5) is a constant added to "log(1/R _{H2S —} 2 )*CE3" and is set to an arbitrary value such as "1.8...". For example, an administrator of the vital information measuring system 1 derives the coefficient "CE3" and the constant "CS3" included in formula (6) by actual measurements or the like, and sets formula (6).

From here, we will explain an example of the process in which the bioinformation measuring system 1 calculates (estimates) the amount of odorous gas using equations (2) to (6).

First, the biological information measurement system 1 calculates a value related to the amount of hydrogen gas based on the measurement of the first gas sensor using formulas (2) and (4). For example, the biological information measurement system 1 calculates the value of "logH2 amount" in formula (4) using the values acquired by the measurement of the gas sensor 40a (the value of " _{Rs_1} " and the value of " _Rair " in formula (2)), formulas (2), and formula (4).

Then, the biological information measuring system 1 applies the calculated value of "log H2 amount" in equation (4) to equation (5) to calculate the value of "R _{H2S — 2} " in equation (5).

Then, the biological information measurement system 1 applies the obtained value of "R _{H2S_2} " in formula (5) to formula (3) to obtain the value of "R _{H2S_2} " in formula (5). For example, the biological information measurement system 1 applies the obtained value of "R _{H2S_2} " in formula (5) and the values acquired by the measurement with the gas sensor 40b (the value of "R _{s_2} " and the value of "R _air " in formula (3)) to formula (3) to obtain the value of "R _{H2S_2} " in formula (3). For example, the biological information measurement system 1 applies the obtained value of "R _{H2S_2} " in formula (3) to formula (6) to obtain the value of "Amount of H2S" in formula (6).

In this way, the bioinformation measuring system 1 calculates (estimates) the amount of odorous gas by subtracting the influence of hydrogen gas from the output of the second gas sensor (odorous gas sensor). Note that the above-mentioned process is merely an example, and the bioinformation measuring system 1 may execute any process as long as it is possible to calculate (estimate) the amount of odorous gas.

<1-8-4. Issues in calculating the amount of odorous gas>
From here, the problem in calculating the amount of odorous gas using the measurement by the hydrogen gas sensor as described above will be described with reference to Fig. 11. Fig. 11 is a diagram showing an overview of the calculation of the amount of odorous gas.

The measurement MS2 in FIG. 11 corresponds to the measurement of the second gas sensor (the odorous gas sensor). For example, the waveform in the measurement MS2 indicates the sensor output (e.g., a voltage value). In the odorous gas calculation process, the zeroth calculation value ZV1 is calculated as the zeroth calculation value corresponding to hydrogen gas and odorous gas obtained based on the detection result in the measurement MS2 of the second gas sensor (step S10). For example, the length of the zeroth calculation value ZV1 indicates the magnitude of the value of the zeroth calculation value ZV1. The zeroth calculation value ZV1 in FIG. 11 includes a first mixture value HV1, which is a value corresponding to hydrogen gas, and a second mixture value OV1, which is a value corresponding to odorous gas.

For example, the first mixture value HV1 is an accurate value (correct value) corresponding to "R _{H2_2} " in formula (3). Also, for example, the second mixture value OV1 is an accurate value (correct value) corresponding to "R _{H2S_2} " in formula (3). Note that, for the sake of explanation, FIG. 11 illustrates the breakdown of the first mixture value HV1 and the second mixture value OV1 at the zeroth calculated value ZV1, but in reality, these values are estimated based on the third calculated value described later.

The measurement MS1 in FIG. 11 corresponds to a measurement by a first gas sensor (hydrogen gas sensor). For example, the waveform in the measurement MS1 indicates a sensor output (e.g., a voltage value). In the odorous gas calculation process, a first calculation value FV1 is calculated as a first calculation value corresponding to hydrogen gas obtained based on the detection result in the measurement MS1 by the first gas sensor (step S11). For example, the first calculation value FV1 corresponds to "R _{H2_1} " in the formula (2). A calculation value relating to the amount of hydrogen gas calculated from the measurement value of the first gas sensor is referenced. Note that the numbers such as step S11 are symbols for distinguishing and explaining each process, and do not indicate the order, and for example, step S11 may be performed before step S10.

In the odorous gas calculation process, the second calculation value SV1 is calculated as a second calculation value corresponding to hydrogen gas in the second gas sensor based on the first calculation value FV1 (step S12). For example, the second calculation value SV1 is an estimated value corresponding to "R _{H2_2} " in formula (3). The second calculation value derived from hydrogen gas contained in the second gas sensor is calculated from the first calculation value FV1. For example, when the processing unit 132 determines that the user's fecal gas does not contain methane gas, it calculates the second calculation value SV1 corresponding to hydrogen gas in the second gas sensor based on the first calculation value FV1.

In the odorous gas calculation process, the third calculation value TV1 is calculated as a third calculation value corresponding to the odorous gas based on the zeroth calculation value ZV1 and the second calculation value SV1 (step S13). The third calculation value TV1 is calculated as the third calculation value corresponding to the odorous gas by subtracting the second calculation value SV1 from the zeroth calculation value ZV1. For example, the third calculation value TV1 is an estimated value corresponding to "R _{H2S_2} " in formula (3). In the odorous gas calculation process, the amount of odorous gas is calculated (estimated) using the third calculation value TV1 calculated by the above-mentioned process, so that the measurement variation in the first gas sensor affects the final calculation (estimate) of the amount of odorous gas. Therefore, in the odorous gas calculation process, problems may occur in the calculation of the amount of odorous gas.

From here, specific examples of problems in calculating the amount of odorous gas will be described using Figures 12 and 13. Figures 12 and 13 are diagrams showing an example of the effect of measurement variation of a gas sensor on calculation. Note that explanations of points similar to those explained in Figure 11 etc. will be omitted as appropriate.

First, we will use Figure 12 to explain the issues that may arise when a certain amount of odorous gas is present.

The zeroth calculated value ZV2 is the zeroth calculated value corresponding to hydrogen gas and odorous gas obtained based on the detection results of the measurement of the second gas sensor. The zeroth calculated value ZV2 in FIG. 12 includes a first mixed value HV2, which is a value corresponding to hydrogen gas, and a second mixed value OV2, which is a value corresponding to odorous gas.

For example, the first mixed value HV2 is an accurate value (correct value) corresponding to "R _{H2_2} " in formula (3). Also, for example, the second mixed value OV2 is an accurate value (correct value) corresponding to "R _{H2S_2} " in formula (3). Note that, for the sake of explanation, FIG. 12 illustrates the breakdown of the first mixed value HV2 and the second mixed value OV2 at the zeroth calculated value ZV2, but in reality, these values are estimated based on the third calculated value described later.

12 is calculated based on the first calculated value corresponding to hydrogen gas obtained based on the detection result in the measurement of the first gas sensor. The second calculated value SV2 is the second calculated value corresponding to hydrogen gas of the second gas sensor. For example, the second calculated value SV2 is an estimated value corresponding to "R _{H2_2} " in equation (3).

Here, if there is measurement variation in the first gas sensor, the measurement variation is also reflected in the second calculation value SV2. FIG. 12 shows an example in which the measurement error of the second calculation value SV2 caused by the measurement variation of the first gas sensor is ±20%. The measurement error ME2 in FIG. 12 visualizes the measurement error of ±20% in the second calculation value SV2, and the value of the second calculation value SV2 can vary between the upper and lower ends of the measurement error ME2.

When the measurement error of the first gas sensor is at its maximum in the negative direction (for example, a measurement error of -20%), the second calculated value SV2 is a value corresponding to the length to the upper end of the measurement error ME2. In this case, the second calculated value SV2 is the smallest value, and the amount of hydrogen gas is estimated to be low.

When the measurement error of the first gas sensor is at its maximum in the positive direction (for example, measurement error +20%), the second calculated value SV2 is a value corresponding to the length to the lower end of the measurement error ME2. In this case, the second calculated value SV2 is the largest value, and the amount of hydrogen gas is estimated to be large.

The third calculated value TV2 is calculated as a third calculated value corresponding to the odorous gas based on the zeroth calculated value ZV2 and the second calculated value SV2 (step S21). For example, the third calculated value TV2 is an estimated value corresponding to "R _{H2S_2} " in formula (3).

Here, the measurement error of ±20% in the second calculated value SV2 affects the third calculated value TV2. The error range ER2 in FIG. 12 visualizes the error that may occur in the third calculated value TV2 due to the measurement error in the second calculated value SV2, and when the measurement error in the second calculated value SV2 is ±20%, the third calculated value TV2 may fluctuate between the upper and lower ends of the error range ER2.

When the measurement error in the second calculation value SV2 is -20%, the third calculation value TV2 is a value corresponding to the length to the upper end of the error range ER2. In this case, the third calculation value TV2 is the largest value, and the amount of odorous gas is estimated to be high.

When the measurement error in the second calculation value SV2 is +20%, the third calculation value TV2 is a value corresponding to the length to the lower end of the error range ER2. In this case, the third calculation value TV2 is the smallest value, and the amount of odorous gas is estimated to be low.

Next, using Figure 13, we will explain the issues that may arise when the amount of hydrogen gas is large and the amount of odorous gas is small.

The zeroth calculated value ZV3 is the zeroth calculated value corresponding to hydrogen gas and odorous gas obtained based on the detection results of the measurement by the second gas sensor. The zeroth calculated value ZV3 in FIG. 13 includes a first mixed value HV3, which is a value corresponding to hydrogen gas, and a second mixed value OV3, which is a value corresponding to odorous gas.

For example, the first mixed value HV3 is an accurate value (correct value) corresponding to "R _{H2_2} " in formula (3). Also, for example, the second mixed value OV3 is an accurate value (correct value) corresponding to "R _{H2S_2} " in formula (3). Note that, for the sake of explanation, Fig. 13 illustrates the breakdown of the first mixed value HV3 and the second mixed value OV3 at the zeroth calculated value ZV3, but in reality, they are estimated based on the third calculated value described later.

13 is calculated based on the first calculated value corresponding to hydrogen gas obtained based on the detection result in the measurement of the first gas sensor. The second calculated value SV3 is the second calculated value corresponding to hydrogen gas of the second gas sensor. For example, the second calculated value SV3 is an estimated value corresponding to "R _{H2_2} " in formula (3).

Here, if there is measurement variation in the first gas sensor, that measurement variation is also reflected in the second calculation value SV3. FIG. 13 shows an example in which the measurement error of the second calculation value SV3 caused by the measurement variation of the first gas sensor is ±20%. The measurement error ME3 in FIG. 13 visualizes the measurement error of ±20% in the second calculation value SV3, and the value of the second calculation value SV3 can vary between the upper and lower ends of the measurement error ME3.

When the measurement error of the first gas sensor is at its maximum in the negative direction (for example, a measurement error of -20%), the second calculated value SV3 is a value corresponding to the length to the upper end of the measurement error ME3. In this case, the second calculated value SV3 is the smallest value, and the amount of hydrogen gas is estimated to be low.

When the measurement error of the first gas sensor is at its maximum in the positive direction (e.g., measurement error +20%), the second calculated value SV3 is a value corresponding to the length to the lower end of the measurement error ME3. In this case, the second calculated value SV3 is the largest value, and the amount of hydrogen gas is estimated to be high. In the example of FIG. 13, since the amount of hydrogen gas is large and the amount of odorous gas is small, when the measurement error of the first gas sensor is in the positive direction, the second calculated value SV3 may be larger than the zeroth calculated value ZV3.

The third calculated value TV3 is calculated as a third calculated value corresponding to the odorous gas based on the zeroth calculated value ZV3 and the second calculated value SV3 (step S22). For example, the third calculated value TV3 is an estimated value corresponding to "R _{H2S_2} " in formula (3).

Here, the measurement error of ±20% in the second calculated value SV3 affects the third calculated value TV3. The error range ER3 in FIG. 13 visualizes the error that may occur in the third calculated value TV3 due to the measurement error in the second calculated value SV3, and when the measurement error in the second calculated value SV3 is ±20%, the third calculated value TV3 may fluctuate between the upper and lower ends of the error range ER3.

When the measurement error in the second calculation value SV3 is -20%, the third calculation value TV3 is a value corresponding to the length to the upper end of the error range ER3. In this case, the third calculation value TV3 is the largest value, and the amount of odorous gas is estimated to be high.

When the measurement error in the second calculation value SV3 is +20%, the third calculation value TV3 is a value corresponding to the length to the lower end of the error range ER3. In this case, the third calculation value TV3 may occur when the second calculation value SV3 is greater than the zeroth calculation value ZV3, and the amount of odorous gas may become 0 or less.

In this way, if there is measurement variation in the first gas sensor, the measurement variation in the first gas sensor affects the estimated value of the amount of odorous gas. For example, in the case of FIG. 13 described above, the first gas sensor is significantly affected by the measurement variation in the amount of hydrogen gas, and in some cases, the calculated value derived from the odorous gas may be 0 or less, making it impossible to properly calculate the score. In such cases, it is difficult to properly execute processing based on gas measurement. Therefore, the bioinformation measurement system 1 solves the above problems and properly executes processing based on gas measurement by using one of the following first, second, and third processes.

<1-9. First process (multiple measurements)>
The biological information measuring system 1 executes a first process using a plurality of pieces of information in order to suppress the influence of measurement variation in the first gas sensor. Specifically, the biological information measuring system 1 calculates a second calculated value corresponding to hydrogen gas of the second gas sensor based on a plurality of calculated values including a first calculated value corresponding to hydrogen gas obtained based on the detection result of the first gas sensor.

This allows the bioinformation measuring system 1 to suppress the effects of measurement variability by performing measurements multiple times. The following provides an example of the configuration of the bioinformation measuring system 1 and an example of measurement when performing measurements multiple times in this manner.

<1-9-1. First measurement example>
First, a first measurement example will be described with reference to FIG. 14. FIG. 14 is a diagram showing a first measurement example using a gas sensor. Specifically, FIG. 14 is a diagram showing an outline of the first measurement example, which is processing using a plurality of data. In FIG. 14, in order to show an image of the processing, only a part of the configuration of the biological information measurement system 1 is illustrated. In FIG. 14, the gas detection device 20 has a gas sensor 40a which is a hydrogen gas sensor and a gas sensor 40b which is an odorous gas sensor. Note that the description of the same points as those described above will be omitted as appropriate.

Measurement MS11 in FIG. 14 corresponds to a measurement made by gas sensor 40a. For example, line LN11 in measurement MS11 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40a. The hatched portion in measurement MS11 corresponds to one measurement process, and indicates the change in sensor output caused by defecation gas expelled at the same time as one defecation, one fart, etc. For example, bioinformation measurement system 1 uses the maximum value (peak value) of one measurement process as the measurement value (voltage value) to calculate the calculated value.

In the first measurement example, the biological information measuring system 1 obtains and averages multiple data of fecal gas emitted from one defecation or fart using the gas sensor 40a. For example, the biological information measuring system 1 performs measurement multiple times using the gas sensor 40a, obtains multiple measurement values, and averages multiple calculated values. For example, the biological information measuring system 1 calculates a second calculated value by using an average value of the corresponding calculated values of the multiple measurements using the gas sensor 40a as the value of "R _{H2_1} " in equation (2) (also referred to as the "determined value").

In this way, the bioinformation measuring system 1 calculates a second calculated value, which is a statistical value of multiple calculated values obtained by measuring the gas multiple times using the gas sensor 40a. In this case, the second calculated value is a statistical value of multiple calculated values obtained by measuring the gas multiple times using the gas sensor 40a. In this way, the bioinformation measuring system 1 can average multiple data to reduce measurement variability and calculate (estimate) an amount of hydrogen gas that is close to the true value. Note that in the above example, the average value is used as the determined value for calculating the second calculated value, but the determined value used for calculating the second calculated value is not limited to the average value and may be any value, such as a median, as long as it is a value determined based on multiple data.

<1-9-2. Second measurement example>
Next, a second measurement example will be described with reference to Fig. 15. Fig. 15 is a diagram showing a second measurement example using a gas sensor. Specifically, Fig. 15 is a diagram showing an outline of a second measurement example performed by a biological information measurement system 1 having a specific configuration for acquiring a plurality of data. Note that the same points as those described above will not be described as appropriate.

In FIG. 15, the bioinformation measuring system 1 has a sealing means 50, which is a mechanism for retaining gas. The sealing means 50 has a sealed space inside and is capable of retaining gas in the sealed space. In FIG. 15, the sealing means 50 is disposed between the gas detection device 20 and the suction device 10. That is, the sealing means 50 is disposed in the flow path between the gas detection device 20 and the suction device 10. The sealing means 50 retains the gas sucked by the suction device 10 in the sealed space. For example, the sealing means 50 has a storage section that stores the gas sucked by the suction device 10. The storage section has a sealed space inside and is capable of storing the gas in the sealed space.

In the second measurement example, the bioinformation measurement system 1 stores the defecation gas in the sealing means 50 for multiple measurements. In this case, the bioinformation measurement system 1 measures the trapped gas multiple times using a gas trapping mechanism such as the sealing means 50. For example, when the gas sensor detects an output equal to or greater than a predetermined value, the bioinformation measurement system 1 closes the shutoff valve (not shown). Then, the bioinformation measurement system 1 stops the suction device 10 to trap the gas in the storage section. Then, the bioinformation measurement system 1 brings the trapped gas into contact with the gas sensor 40a.

Measurement MS12 in FIG. 15 corresponds to a measurement made by gas sensor 40a. For example, line LN12 in measurement MS12 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40a. The hatched portion in measurement MS12 corresponds to one measurement process, and indicates the change in sensor output caused by defecation gas expelled at the same time as one defecation, one fart, etc. For example, the bioinformation measurement system 1 uses the maximum value (peak value) of one measurement process as the measurement value (voltage value) to calculate the calculated value.

In the second measurement example, the bioinformation measurement system 1 retains the fecal gas within the flow path (sealing means 50, etc.), and then performs multiple measurements with the gas sensor 40a, which is a hydrogen gas sensor, to obtain multiple calculated values and average them.

In this way, the bioinformation measuring system 1 calculates a second calculated value which is a statistical value of multiple calculated values obtained by measuring the gas in the sealed space multiple times with the gas sensor 40a. The second calculated value is a statistical value of multiple calculated values obtained by measuring the gas in the sealed space multiple times with the gas sensor 40a. Specifically, the bioinformation measuring system 1 calculates a second calculated value which is a statistical value of multiple calculated values obtained by measuring the gas in the storage unit multiple times. The second calculated value is a statistical value of multiple calculated values obtained by measuring the gas in the storage unit multiple times.

By retaining the fecal gas within the flow path, the bioinformation measuring system 1 is able to measure the fecal gas multiple times using the hydrogen gas sensor, and by averaging multiple signals, the effects of measurement variation in the sensor can be reduced. The processing after calculating the second calculated value is similar to that in the first measurement example, so a detailed explanation will be omitted.

<1-9-3. Third measurement example>
Next, a third measurement example will be described with reference to Fig. 16. Fig. 16 is a diagram showing a third measurement example using a gas sensor. Specifically, Fig. 16 is a diagram showing an outline of the third measurement example performed by a biological information measuring system 1 in which a gas detection device 20 is disposed within a sealing means 50. Note that explanations of points similar to those described above will be omitted as appropriate.

In FIG. 16, the bioinformation measuring system 1 has a sealing means 50. In FIG. 16, the sealing means 50 houses the gas detection device 20. In the bioinformation measuring system 1 in the third measurement example, the gas detection device 20 is disposed within the sealing means 50. The sealing means 50 has a flow path that can be switched to a closed flow path by opening and closing means (e.g., a switching valve, etc.), but this point will be described later.

In the third measurement example, the bioinformation measuring system 1 measures the gas trapped within the sealing means 50 multiple times using the gas detection device 20 within the sealing means 50. In this case, the bioinformation measuring system 1 acquires data multiple times from a state in which the sensor surface is filled with gas and the sensor output is stable.

Measurement MS13 in FIG. 16 corresponds to a measurement made by gas sensor 40a. For example, line LN13 in measurement MS13 indicates the sensor output, which is the measured value (voltage value) of gas sensor 40a. The hatched portion in measurement MS13 corresponds to a portion of the section in which the sensor output (power value) peaks (maximum) due to the gas trapped within the sealing means 50. For example, the bioinformation measurement system 1 performs measurement processing multiple times (three times, indicated by dotted circles in FIG. 16) in the section in which the sensor output (power value) peaks (maximum), and calculates a calculated value corresponding to each measurement processing.

In the third measurement example, the bioinformation measuring system 1 stores the fecal gas in the sealed means 50 for multiple measurements. The bioinformation measuring system 1 stores the fecal gas in the sealed means 50 that houses the gas detection device 20, and obtains and averages multiple calculated values by multiple measurements using the gas sensor 40a, which is a hydrogen gas sensor.

In this way, the bioinformation measuring system 1 calculates a second calculated value which is a statistical value of multiple calculated values obtained by measuring the gas in the sealing means 50 multiple times with the gas sensor 40a. The second calculated value is a statistical value of multiple calculated values obtained by measuring the gas in the sealing means 50 multiple times with the gas sensor 40a.

As a result, the bioinformation measurement system 1 can continuously bring the defecation gas into contact with the hydrogen gas sensor, thereby obtaining a signal with a stable sensor output, and by averaging the signal, the effects of measurement variation in the gas sensor can be further reduced. The processing after calculating the second calculated value is the same as in the first measurement example, so a detailed explanation will be omitted.

<1-9-4. Fourth measurement example>
Next, a fourth measurement example will be described with reference to Fig. 17. Fig. 17 is a diagram showing a fourth measurement example using a gas sensor. Fig. 17 is a diagram showing an outline of a fourth measurement example performed by a biological information measuring system 1 having a configuration similar to that of the second measurement example shown in Fig. 15. Specifically, Fig. 17 is a diagram showing a fourth measurement example in which a gas retained in a flow path between the gas detection device 20 and the aspirator 10 by a sealing means 50 is measured. Note that explanations of points similar to those described above will be omitted as appropriate.

The configuration of the biological information measurement system 1 in the fourth measurement example is similar to the configuration of the biological information measurement system 1 in the second measurement example, so illustrations and detailed description are omitted.

Measurement MS14 in FIG. 17 corresponds to a measurement made by gas sensor 40a. For example, line LN14 in MS14 indicates the sensor output, which is the measured value (voltage value) of gas sensor 40a. For example, the bioinformation measuring system 1 performs a measurement process (three times in FIG. 17) at each point when the sensor output (power value) indicated by the dotted circle in FIG. 17 reaches its peak (maximum), and calculates a calculated value corresponding to each measurement process. For example, the bioinformation measuring system 1 repeatedly brings gas into contact with the sensor, and obtains multiple pieces of data corresponding to the peak values of the sensor output.

In the fourth measurement example, the bioinformation measurement system 1 stores the defecation gas in the flow path between the gas detection device 20 and the suction device 10 using the sealing means 50 in order to perform multiple measurements. The bioinformation measurement system 1 stores the defecation gas in the flow path between the gas detection device 20 and the suction device 10, and obtains and averages multiple calculated values by performing multiple measurements with the gas sensor 40a, which is a hydrogen gas sensor. That is, the bioinformation measurement system 1 stores the defecation gas in a location other than the gas detection device 20, and then repeatedly brings the gas into contact with the gas sensor 40a, which is a hydrogen gas sensor, and obtains and averages multiple calculated values by performing multiple measurements with the gas sensor 40a.

In this way, the biological information measurement system 1 calculates a second calculated value that is a statistical value of multiple calculated values obtained by measuring the gas in the flow path multiple times. The second calculated value is a statistical value of multiple calculated values obtained by measuring the gas in the flow path multiple times.

As a result, the biological information measurement system 1 can obtain multiple first calculation values by repeatedly measuring the retained fecal gas with the hydrogen gas sensor, and then average them to reduce the effects of measurement errors. The processing after calculating the second calculation value is similar to that in the first measurement example, and therefore a detailed description thereof will be omitted.

<1-9-5. Fifth measurement example>
Next, a fifth measurement example will be described with reference to Fig. 18. Fig. 18 is a diagram showing a fifth measurement example using a gas sensor. Specifically, Fig. 18 is a diagram showing an outline of a fifth measurement example performed by biological information measurement system 1 in which gas detection device 20 (hereinafter referred to as "gas detection device 20A") having gas sensor 40c, which is a third gas sensor, is arranged. Note that explanations of points similar to those described above will be omitted as appropriate.

In FIG. 18, the bioinformation measurement system 1 has a gas detection device 20A equipped with a gas sensor 40c. For example, the gas sensor 40c, which is a third gas sensor, is a gas sensor that is more sensitive to hydrogen gas and less sensitive to odorous gases than the gas sensor 40b. In the fifth measurement example, the gas sensor 40c may be a hydrogen gas sensor.

In the fifth measurement example, the bioinformation measurement system 1 acquires values (e.g., calculated values) indicating the amount and concentration of hydrogen gas from gas sensor 40a, which is a hydrogen gas sensor, and gas sensor 40c, which is a third gas sensor, and averages them.

The bioinformation measurement system 1 calculates a calculated value (also called the "fourth calculated value") corresponding to hydrogen gas based on the detection result of the gas sensor 40c. For example, the bioinformation measurement system 1 uses equation (1) to calculate a fourth calculated value corresponding to hydrogen gas of the gas sensor 40c from the measurement value (voltage value) of the gas sensor 40c. The bioinformation measurement system 1 applies the fourth calculated value to a regression equation to calculate (estimate) the amount of hydrogen gas based on the measurement of the gas sensor 40c.

Measurement MS15 in FIG. 18 corresponds to measurements made by gas sensor 40a and gas sensor 40c. For example, line LN151 in measurement MS15 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40a. For example, line LN152 in measurement MS15 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40c.

For example, the bioinformation measuring system 1 performs a measurement process when the sensor output (power value) of the gas sensor 40a, indicated by the dotted circle on the line LN151 in FIG. 18, reaches a peak (maximum), and calculates a first calculated value corresponding to the measurement process. Also, for example, the bioinformation measuring system 1 performs a measurement process when the sensor output (power value) of the gas sensor 40c, indicated by the dotted circle on the line LN152 in FIG. 18, reaches a peak (maximum), and calculates a fourth calculated value corresponding to the measurement process. For example, the bioinformation measuring system 1 acquires data corresponding to the peak values of the hydrogen gas sensor and the third gas sensor.

In the fifth measurement example, the bioinformation measuring system 1 calculates a second calculated value using a first calculated value based on the measurement of gas sensor 40a and a fourth calculated value based on the measurement of gas sensor 40c.

In this way, the biological information measurement system 1 calculates the second calculated value, which is a statistical value obtained using multiple calculated values obtained by measurement using multiple gas sensors 40, gas sensor 40a and gas sensor 40c. The second calculated value is obtained from the statistical value of multiple calculated values obtained by measurement using multiple gas sensors 40.

As a result, the bioinformation measurement system 1 calculates values (e.g., calculated values) indicating the amount of hydrogen gas from multiple gas sensors and averages them, thereby reducing individual variation and enabling a more accurate calculation of the amount of hydrogen gas. The processing after calculating the second calculated value is similar to that in the first measurement example, so a detailed description will be omitted.

<1-9-6. Sixth measurement example>
Next, a sixth measurement example will be described. The biological information measurement system 1 of the sixth measurement example differs from the biological information measurement system 1 of the fifth measurement example in that the gas detection device 20A has a gas sensor 40c, which is a third gas sensor, that is a type of gas sensor different from the hydrogen gas sensor. Note that the description of the same points as those described above will be omitted as appropriate.

In the sixth measurement example, the biological information measurement system 1 has a gas detection device 20A equipped with a gas sensor 40c that is a methane gas sensor different from the gas sensor 40a that is a hydrogen gas sensor. For example, the gas sensor 40c that is a methane gas sensor is a gas sensor that reacts easily with hydrogen and methane and does not react easily with odorous gases. For example, the gas sensor 40c that is a methane gas sensor is mounted on the gas detection device 20 to measure methane gas in fecal gas.

Here, the number of people with methane-producing bacteria is low, and the percentage of people whose fecal gas contains methane gas is low. For example, in the case of people who do not produce methane gas, it is possible to calculate the amount of hydrogen gas using a methane gas sensor.

Therefore, in the sixth measurement example, when the subject of measurement is an individual who emits methane gas, the biological information measurement system 1 uses the gas sensor 40c as a methane gas measurement sensor. When the biological information measurement system 1 determines that the user's fecal gas contains methane gas, it uses the gas sensor 40c as a sensor for detecting methane gas.

On the other hand, when the subject of measurement is someone who does not emit methane gas, the bioinformation measurement system 1 uses the gas sensor 40c as a hydrogen gas measurement sensor. When the bioinformation measurement system 1 determines that the user's fecal gas does not contain methane gas, it uses the gas sensor 40c as a sensor for detecting hydrogen gas.

As described above, even if a gas sensor is intended to measure other components, if the gas sensor is not being used for the intended purpose, the bioinformation measurement system 1 can further improve the measurement accuracy of the hydrogen gas sensor by repurposing the gas sensor as a sensor for measuring hydrogen gas.

For example, when calculating the fourth calculated value of gas sensor 40c, which is a methane gas sensor, the biological information measurement system 1 may calculate the fourth calculated value by using an equation for a methane gas sensor instead of the above-mentioned equations (3), (5), and (6) for odorous gases. In this case, the calculation of the fourth calculated value is the same as the calculation of the second calculated value for odorous gases, except for the equation used, so a detailed description will be omitted.

<1-9-6. Seventh measurement example>
Next, a seventh measurement example will be described with reference to Fig. 19. Fig. 19 is a diagram showing a seventh measurement example using a gas sensor. Fig. 19 is a diagram showing an outline of the seventh measurement example performed by a biological information measuring system 1 having a configuration similar to any one of the first to sixth measurement examples described above. For example, the seventh measurement example is performed by a biological information measuring system 1 having a configuration similar to that of the second measurement example shown in Fig. 15. Note that explanations of points similar to those described above will be omitted as appropriate.

Measurement MS16 in FIG. 19 corresponds to measurements made by gas sensor 40a and gas sensor 40b. For example, line LN161 in measurement MS16 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40a. For example, line LN162 in measurement MS16 indicates the sensor output, which is the measurement value (voltage value) of gas sensor 40b. The reactivity of each gas sensor 40 is determined by any means. For example, the reactivity of each gas sensor 40 is set such that the peak value is 100% and the value before defecation is 0%.

For example, the measurement value TM11 on the line LN161 in FIG. 19 indicates the measurement value at the time when the reactivity of the gas sensor 40a is the first degree (e.g., 30% of the peak value). The measurement value TM12 on the line LN161 in FIG. 19 indicates the measurement value at the time when the reactivity of the gas sensor 40a is the second degree (e.g., 50% of the peak value). The measurement value TM13 on the line LN161 in FIG. 19 indicates the measurement value at the time when the reactivity of the gas sensor 40a is the third degree (e.g., the peak value).

For example, the measurement value TM21 on the line LN162 in FIG. 19 indicates the measurement value at the time when the reactivity of the gas sensor 40b is the first degree (e.g., 30% of the peak value). The measurement value TM22 on the line LN162 in FIG. 19 indicates the measurement value at the time when the reactivity of the gas sensor 40b is the second degree (e.g., 50% of the peak value). The measurement value TM23 on the line LN162 in FIG. 19 indicates the measurement value at the time when the reactivity of the gas sensor 40b is the third degree (e.g., the peak value).

In FIG. 19, the bioinformation measuring system 1 uses, as a set, the values of gas sensors 40 that have the same reactivity to defecation gas at the same timing. For example, the bioinformation measuring system 1 uses, as a set, the measurement value TM11 of gas sensor 40a and the measurement value TM21 of gas sensor 40b, which have the same first degree of reactivity.

In this case, the bioinformation measurement system 1 calculates a first calculation value (referred to as the "first calculation value FV71") and a third calculation value (referred to as the "third calculation value TV71") based on the measurement values TM11 and TM21. Then, the bioinformation measurement system 1 calculates the amount of hydrogen gas (referred to as the "hydrogen gas amount VL11") and the amount of odorous gas (referred to as the "odorous gas amount VL21") based on the calculated first calculation value FV71 and third calculation value TV71. Then, the bioinformation measurement system 1 calculates a primary score (referred to as the "primary score TS1") by finding the ratio between the calculated hydrogen gas amount VL11 and the odorous gas amount VL21.

The bioinformation measurement system 1 also uses the measurement value TM12 of gas sensor 40a and the measurement value TM22 of gas sensor 40b, which have the same second degree of reactivity, as one set. In this case, the bioinformation measurement system 1 calculates a first calculation value FV72 and a third calculation value TV72 based on the measurement values TM12 and TM22, and calculates the amount of hydrogen gas (referred to as "hydrogen gas amount VL12") and the amount of odorous gas (referred to as "odorous gas amount VL22") based on the calculated first calculation value FV72 and third calculation value TV72. The bioinformation measurement system 1 then calculates the ratio between the calculated hydrogen gas amount VL12 and odorous gas amount VL22 to calculate a primary score (referred to as "primary score TS2").

The bioinformation measuring system 1 also uses the measurement value TM13 of gas sensor 40a and the measurement value TM23 of gas sensor 40b, which have the same reactivity of the third degree (peak value), as one pair (set). In this case, the bioinformation measuring system 1 calculates a first calculation value FV73 and a third calculation value TV73 based on the measurement values TM13 and TM23, and calculates the amount of hydrogen gas (referred to as "hydrogen gas amount VL13") and the amount of odorous gas (referred to as "odorous gas amount VL23") based on the calculated first calculation value FV72 and third calculation value TV72. The bioinformation measuring system 1 then calculates the ratio between the calculated hydrogen gas amount VL13 and odorous gas amount VL23 to calculate a primary score (referred to as "primary score TS3").

As a result, the bioinformation measurement system 1 obtains multiple ratios of values based on the measurements of the hydrogen gas sensor and the odorous gas sensor. The bioinformation measurement system 1 then calculates a score by averaging the multiple ratios (e.g., primary scores) obtained. In FIG. 19, the bioinformation measurement system 1 calculates the average value of the primary scores TS1, TS2, and TS3 as the score.

As described above, in the seventh measurement example, the bioinformation measurement system 1 obtains multiple values based on measurements by the hydrogen gas sensor and the odorous gas sensor at the same timing, calculates a ratio, and then averages the ratios. The bioinformation measurement system 1 estimates the user's health condition or information related to the health condition using a first calculated value corresponding to hydrogen gas obtained based on the detection result of the first gas sensor, and a score calculated based on the third calculated value. The bioinformation measurement system 1 calculates a score based on the ratio of a value based on the first calculated value corresponding to detection at a common timing during the user's defecation (e.g., the amount of hydrogen gas) to a value based on the third calculated value (the amount of odorous gas).

In this way, the bioinformation measuring system 1 acquires values derived from hydrogen and values derived from odorous gas at the same timing during one defecation act. The bioinformation measuring system 1 averages the ratio of a value based on a set of first calculated values (e.g., the amount of hydrogen gas) and a value based on a third calculated value (amount of odorous gas) to calculate the ratio of the value based on the first calculated value and the value based on the third calculated value. In this way, the bioinformation measuring system 1 calculates the statistical value of the ratio of values based on multiple calculated values as a score.

The variation in the scores (e.g., ratio of amounts) is largely influenced by the variation due to the hydrogen gas sensor. Therefore, the bioinformation measurement system 1 averages the scores (e.g., ratio of amounts), thereby reducing the variation due to the hydrogen gas sensor.

<1-9-7. Configuration and control example>
From here, an example of the configuration and control of the above-mentioned measurement example will be described. Note that the configuration and control of the biological information measurement system 1 described below are merely examples, and the biological information measurement system 1 can adopt any configuration and control as long as it is possible to perform the above-mentioned measurement.

<1-9-7-1. Configuration and control corresponding to the third measurement example>
First, the configuration and control corresponding to the third measurement example will be described with reference to Fig. 20. Fig. 20 is a diagram showing an example of the configuration and control corresponding to the third measurement example. Note that the description of the same points as those described above will be omitted as appropriate.

The device configuration CN11 shown in FIG. 20 shows an example of the device configuration of the bioinformation measuring system 1 that performs the third measurement example. FIG. 20 is intended to show an image of the configuration and control, and the device configuration CN11 illustrates only a portion of the configuration of the bioinformation measuring system 1 that performs the third measurement example. For example, the suction mechanism of the device configuration CN11 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, flow path #1, flow path #2, storage section, and shut-off valve are components possessed by the sealing means 50.

In FIG. 20, the bioinformation measuring system 1 executes the processes shown in steps S31 to S35. Before step S31, it is assumed that the switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1. The bioinformation measuring system 1 sucks gas from the bowl portion using the suction mechanism (step S31). When the bioinformation measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it closes the shutoff valve (step S32).

After a predetermined time has elapsed, the bioinformation measuring system 1 switches the switching valve to the flow path #2 direction (the side that flows directly to the discharge section) (step S33). After the sensor measurement, the bioinformation measuring system 1 opens the shutoff valve (step S34). The bioinformation measuring system 1 switches the switching valve to the flow path #1 direction (the side that flows to the storage section) (step S35).

Thus, in FIG. 20, the bioinformation measurement system 1 performs measurement using the sensor with the shut-off valve closed and gas stored.

<1-9-7-2. Configuration and control corresponding to the fourth measurement example>
Next, the configuration and control corresponding to the fourth measurement example will be described with reference to Fig. 21 to Fig. 23. Fig. 21 and Fig. 23 are diagrams showing an example of the configuration and control corresponding to the fourth measurement example. Explanations of points similar to those described above will be omitted as appropriate.

The configuration and control when circulating gas and performing multiple measurements will be described using FIG. 21. The device configuration CN12 shown in FIG. 21 shows an example of the device configuration of the bioinformation measuring system 1 that performs the fourth measurement example. FIG. 21 is for illustrating an image of the configuration and control, and the device configuration CN12 illustrates only a part of the configuration of the bioinformation measuring system 1 that performs the fourth measurement example. For example, the first suction mechanism of the device configuration CN12 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the first switching valve, flow path #1, flow path #2, second suction mechanism, second switching valve, flow path #3, and flow path #4 are components possessed by the sealing means 50. For example, the second suction mechanism is a device having the same function as the suction device 10, and can perform suction in a desired direction.

In FIG. 21, the bioinformation measuring system 1 executes the process shown in steps S41 to S44. Before step S41, the first switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1, and the second switching valve is set so that the gas flows in the direction of flow path #3. The bioinformation measuring system 1 sucks gas from the bowl portion with the first suction mechanism (step S41). When the bioinformation measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it switches the first switching valve to the direction of flow path #2 (the side that flows directly to the discharge portion) and switches the second switching valve to the direction of flow path #4 (the side that circulates inside the sealing means 50) (step S42).

The bioinformation measuring system 1 activates the second suction mechanism and measures the gas multiple times (step S43). After measuring the sensor output multiple times with the sensor, the bioinformation measuring system 1 returns the first and second switching valves to their original positions (step S44). In FIG. 21, the bioinformation measuring system 1 switches the first switching valve so that the gas in the bowl portion flows in the direction of flow path #1, and switches the second switching valve so that the gas flows in the direction of flow path #3.

In this way, in FIG. 21, the bioinformation measurement system 1 circulates the same gas in the flow path and repeatedly measures the gas with the sensor.

Using Figure 22, the configuration and control when the stored gas is dispensed in small amounts and measured multiple times will be described. Device configuration CN13 shown in Figure 22 shows an example of the device configuration of the bioinformation measuring system 1 that executes the fourth measurement example. Figure 22 is intended to show an image of the configuration and control, and device configuration CN13 illustrates only a part of the configuration of the bioinformation measuring system 1 that executes the fourth measurement example. For example, the first suction mechanism of device configuration CN13 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, flow path #1, flow path #2, storage section, shut-off valve, and second suction mechanism are components possessed by the sealing means 50.

In FIG. 22, the bioinformation measuring system 1 executes the processes shown in steps S51 to S54. Before step S51, it is assumed that the switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1. The bioinformation measuring system 1 sucks gas from the bowl portion with the first suction mechanism (step S51). When the bioinformation measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it closes the shutoff valve (step S52).

After a predetermined time has elapsed, the bioinformation measuring system 1 switches the switching valve to the direction of flow path #2 (the side that flows directly to the exhaust section) and keeps the gas in the storage section (step S53). The bioinformation measuring system 1 controls the opening and closing of the second suction mechanism and the shutoff valve to flow the gas to the sensor (step S54). In this case, for example, while the bioinformation measuring system 1 is measuring the gas with the sensor, the shutoff valve is opened and the second suction mechanism is operated to exhaust a portion of the gas in the storage section from the exhaust section via the sensor. Also, for example, while the bioinformation measuring system 1 is stopping measuring the gas with the sensor, the shutoff valve is closed and the second suction mechanism is stopped to stop the exhaust of the gas in the storage section from the exhaust section.

Thus, in FIG. 22, the bioinformation measurement system 1 stores the gas in the storage unit and periodically flows a predetermined amount of gas through the sensor.

Using FIG. 23, the configuration and control in the case where measurements are performed multiple times by returning the gas that has been measured once will be described. The device configuration CN14 shown in FIG. 23 shows an example of the device configuration of the bioinformation measuring system 1 that performs the fourth measurement example. FIG. 23 is intended to show an image of the configuration and control, and the device configuration CN14 illustrates only a part of the configuration of the bioinformation measuring system 1 that performs the fourth measurement example. For example, the first suction mechanism of the device configuration CN14 corresponds to the suction device 10, the exhaust section corresponds to the duct 12, and the sensor corresponds to the gas sensor 40. Also, for example, the switching valve, flow path #1, flow path #2, storage section, shut-off valve, and second suction mechanism are configurations possessed by the sealing means 50.

In FIG. 23, the bioinformation measuring system 1 executes the processes shown in steps S61 to S65. Before step S61, it is assumed that the switching valve is set so that the gas in the bowl portion flows in the direction of flow path #1. The bioinformation measuring system 1 sucks gas from the bowl portion with the first suction mechanism (step S61). When the bioinformation measuring system 1 detects a sensor output value (e.g., a voltage value) equal to or greater than a predetermined value, it closes the shutoff valve (step S62).

After a predetermined time has elapsed, the bioinformation measuring system 1 switches the switching valve to the direction of flow path #2 (direct flow to the discharge section) (step S63). The bioinformation measuring system 1 operates the second suction mechanism to return the gas that has been measured to the sensor (step S64). The flow path between the second intake mechanism and the storage section may be common, or the flow path from the second suction mechanism to the storage section and the flow path from the storage section to the second suction mechanism may be provided separately. After repeated measurements, the bioinformation measuring system 1 opens the shutoff valve and controls the switching valve to discharge the gas (step S65).

In this way, in FIG. 23, the bioinformation measuring system 1 retains the gas in the storage section and returns the measured gas to the sensor using the second suction mechanism.

<1-10. Second Processing (Correction)>
The bioinformation measuring system 1 may suppress the influence of the measurement variation by any method, without being limited to the above-mentioned first process. For example, in order to suppress the influence of the measurement variation in the gas sensor, the bioinformation measuring system 1 executes a second process of correcting a value when a value based on the measurement satisfies a predetermined condition. In the second process, the bioinformation measuring system 1 executes a correction next when a predetermined condition is satisfied under which the odorous gas may not be estimated correctly. Specifically, when the odorous gas may not be estimated correctly, the bioinformation measuring system 1 executes a correction for at least one of the zeroth calculated value, the second calculated value, or the third calculated value.

As a result, the biological information measuring system 1 can suppress the effects of measurement variability through correction. This point will be explained below. Note that explanations of points similar to those explained in the first process etc. will be omitted as appropriate.

<1-10-1. First correction>
First, an example in which the biological information measuring system 1 corrects the zeroth calculated value or the second calculated value will be described as a first correction.

For example, the bioinformation measuring system 1 performs the first correction when a predetermined condition is satisfied. The bioinformation measuring system 1 performs the first correction when the first calculated value or the second calculated value exceeds the first threshold value, or when the third calculated value falls below a second threshold value that is smaller than the first threshold value. In this case, the bioinformation measuring system 1 performs the first correction when at least one of the correction conditions including the first condition that the first calculated value or the second calculated value exceeds the first threshold value, and the second condition that the third calculated value falls below a second threshold value that is smaller than the first threshold value is satisfied. Note that the first threshold value and the second threshold value are set to arbitrary values according to the gas sensor 40, etc. For example, the first threshold value and the second threshold value may be set for each bioinformation measuring system 1 (i.e., for each device) in which the gas sensor 40 is introduced, or may be commonly set values.

For example, when at least one of the correction conditions is satisfied, the biological information measuring system 1 performs a correction to decrease the second calculated value. When calculating the second calculated value from the first calculated value, the biological information measuring system 1 performs the first correction by multiplying the first calculated value by a correction coefficient smaller than 1. In this case, the biological information measuring system 1 may perform either correction pattern #1 or correction pattern #2.

When executing correction pattern #1, if at least one of the correction conditions is satisfied, the biological information measurement system 1 corrects the first calculated value by multiplying the first calculated value by a correction coefficient (e.g., a value less than 1). In this case, the biological information measurement system 1 calculates the second calculated value using the corrected first calculated value.

When performing correction pattern #2, if at least one of the correction conditions is satisfied, the biological information measurement system 1 corrects the second calculated value by multiplying the second calculated value by a correction coefficient (e.g., a value less than 1). In this case, the biological information measurement system 1 calculates a third calculated value using the corrected second calculated value.

The above-mentioned correction is merely an example, and the bioinformation measuring system 1 is not limited to a correction that decreases the second calculated value, and may also perform a correction that increases the zeroth calculated value. Furthermore, the bioinformation measuring system 1 may perform the first correction when the second calculated value exceeds the zeroth calculated value. In this case, the correction condition may include a third condition that the second calculated value exceeds the zeroth calculated value.

In this way, in the first correction, the other values used in calculating the third calculated value indicating the amount of odorous gas are used as the correction targets. This allows the biological information measuring system 1 to appropriately correct the third calculated value calculated based on the other values, and appropriately calculate (estimate) the amount of odorous gas. Therefore, the biological information measuring system 1 can appropriately execute processing based on gas measurement.

<1-10-2. Second Amendment>
The biological information measuring system 1 may execute a second correction for correcting the third calculated value, in addition to the first correction. In this case, the biological information measuring system 1 has a correction value preset as a value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the biological information measuring system 1 replaces the third calculated value with the correction value as a correction.

The third threshold value is set to an arbitrary value depending on the gas sensor 40, etc. For example, the third threshold value may be set for each bioinformation measurement system 1 in which the gas sensor 40 is installed (i.e., for each device), or may be a commonly set value.

The correction value can be set to any value. For example, the correction value may be the lower detection limit of the gas sensor, or may be the minimum value of a calculated value based on data on the amount of gas coming out of a person.

In this way, in the second correction, the third calculated value indicating the amount of odorous gas itself is the object of correction. This allows the biological information measurement system 1 to appropriately correct the third calculated value and appropriately calculate (estimate) the amount of odorous gas. Therefore, the biological information measurement system 1 can appropriately execute processing based on gas measurement.

<1-11. Third process (change of information)>
The bioinformation measuring system 1 may suppress the influence of the measurement variation by any method, without being limited to the above-mentioned first process and second process. For example, the bioinformation measuring system 1 executes a third process of changing the information to be output in order to suppress the influence of the measurement variation in the gas sensor. In the third process, when a condition (also called a "change condition") that the ratio of the health gas to the odorous gas may be incorrect is satisfied, the bioinformation measuring system 1 changes the information, outputs it, and displays it. Specifically, when at least one of the first calculated value, the second calculated value, and the third calculated value satisfies the change condition, the bioinformation measuring system 1 performs control to change the first information, which is the health condition or information related to the health condition of the user output by the output means.

As a result, the biometric information measuring system 1 can change the information provided to the user by changing the information, thereby suppressing the effects of measurement variability. This point will be explained below. Note that explanations of points similar to those explained in the first process and the second process, etc. will be omitted as appropriate.

<1-11-1. First change>
First, the first change will be described. When the change condition is satisfied, the biological information measuring system 1 executes the first change, which changes the value included in the first information to a preset setting value. When the first calculated value or the second calculated value exceeds a first threshold value, or when the third calculated value falls below a second threshold value smaller than the first threshold value, the biological information measuring system 1 executes the first change. In this case, the biological information measuring system 1 executes the first change when at least one of the change conditions including the first condition that the first calculated value or the second calculated value exceeds the first threshold value, and the second condition that the third calculated value falls below a second threshold value smaller than the first threshold value is satisfied.

The vital information measuring system 1 executes a first change as shown in FIG. 24. FIG. 24 is a diagram showing a first change of information by the vital information measuring system. Content CT11 in FIG. 24 is information showing the change over time in the score based on the measurement of the user's bowel gas.

The score SC1 in the content CT11 indicates the score before the change based on the measurement at the corresponding date and time (also called the "target measurement"). The vital information measurement system 1 performs the first change if any of the values in the target measurements satisfy at least one of the change conditions. The vital information measurement system 1 executes the first change if it determines that the value in the target measurement satisfies the change condition.

In FIG. 24, the biometric information measuring system 1 determines that the value in the target measurement satisfies the change condition, and changes the score SC1, which is the original data in the content CT11. For example, the biometric information measuring system 1 changes the score SC1 to a predetermined value of changed score CS1. Any value may be set for the changed score CS1, but this will be described later. In FIG. 24, by changing the score SC1 to the changed score CS1, the biometric information measuring system 1 can set the score corresponding to the target measurement to a value close to the average shown by the dotted line (such as a moving average that shows a tendency to change over time).

The biometric information measurement system 1 outputs information (content CC11 in FIG. 25) including the changed score CS1 obtained by changing the original data score SC1. The biometric information measurement system 1 outputs (transmits) the information including the changed score CS1 obtained by changing the original data score SC1 to the display means 300, which is a user terminal used by the user (also referred to as "user X") who was the subject of the target measurement.

The display means 300 used by user X, which has received information including the changed score CS1 output by the biometric information measurement system 1, displays information as shown in FIG. 25. FIG. 25 is a diagram showing an example of the display of information after change by the biometric information measurement system. As shown in FIG. 25, the display means 300 used by user X displays content CC11 including the changed score CS1 obtained by changing the original data score SC1. In this way, the display means 300 used by user X does not display the original data score SC1 that is estimated to have been significantly affected by measurement variability, but displays the changed score CS1 as alternative information that is estimated to be more appropriate than the score SC1. In this way, the biometric information measurement system 1 may change the display of information to a predetermined value.

As described above, the biometric information measuring system 1 can suppress the effects of measurement variability by changing the information provided to the user through the first change. Therefore, the biometric information measuring system 1 can appropriately execute processing based on gas measurement.

The changed information, such as the value of the changed score CS1, may be set using any information. An example of this point will be described with reference to FIG. 26. FIG. 26 is a diagram showing an example of score correction by a bioinformation measurement system. In FIG. 26, the changed information may be determined using hydrogen amount distribution information DD11 indicating the distribution of the amount of hydrogen emitted from a person, and odorous gas amount distribution information DD12 indicating the distribution of the amount of odorous gas emitted from a person.

For example, the bioinformation measuring system 1 may calculate a score when the first calculated value is a predetermined value and the second calculated value is a predetermined value. For example, the bioinformation measuring system 1 may calculate a score from the maximum amount/minimum amount (such as 3σ of the distribution) coming out of a human.

For example, the biological information measuring system 1 may use the function FC2 to calculate the changed score CS1. The function FC2 may use, as the changed score CS1, a value obtained by adding 3δ to the average hydrogen amount calculated based on the hydrogen amount distribution information DD11, divided by a value obtained by subtracting 3δ from the average odorous gas amount calculated based on the healthy odorous gas amount distribution information DD12.

<1-11-2. Second change>
Note that the biological information measuring system 1 may make a change using any information, not limited to the first change. For example, the biological information measuring system 1 may execute a second change that changes information using past information of the target user. In this case, the biological information measuring system 1 stores the first information output based on the past measurement in the storage unit 120. Specifically, the biological information measuring system 1 stores history information including a score calculated based on the past measurement in the storage unit 120.

The biometric information measuring system 1 performs a second change to change the information based on the score calculated based on past measurements stored in the memory unit 120. The biometric information measuring system 1 performs the second change when at least one of the change conditions is satisfied.

The vital information measuring system 1 executes a second change as shown in FIG. 27. FIG. 27 is a diagram showing a second change of information by the vital information measuring system. Content CT12 in FIG. 27 is information showing the change over time in the score based on the measurement of the user's bowel gas.

The score SC2 in the content CT12 indicates the score before the change based on the measurement (target measurement) at the corresponding date and time. The vital information measurement system 1 performs the second change if any of the values in the target measurement satisfy at least one of the change conditions. The vital information measurement system 1 executes the second change if it determines that the value in the target measurement satisfies the change condition.

In FIG. 27, the biometric information measurement system 1 determines that the value in the target measurement satisfies the change condition, and changes the score SC2, which is the original data in the content CT12. For example, when the biometric information measurement system 1 determines that the value in the target measurement satisfies the change condition, it changes the value to a changed score CS2 calculated using multiple scores corresponding to a measurement prior to the target measurement. The changed score CS2 is calculated by using the average value of multiple scores corresponding to each of the most recent multiple measurements of the target measurement. In FIG. 27, the biometric information measurement system 1 calculates the changed score CS2 using the most recent scores PS1 and PS2 of the target measurement.

As a result, the information is changed based on the past tendencies of the user (user X) who was the subject of the target measurement, and the biometric information measurement system 1 can change the information to be in line with the past tendencies of user X. For example, the scores PS1 and PS2 do not satisfy the change conditions and remain the scores of the original data. For example, the biometric information measurement system 1 outputs unaltered (uncorrected) scores for data that has not been changed, such as scores PS1 and PS2.

The bioinformation measurement system 1 outputs information including the changed score CS2 obtained by changing the score SC2, which is the original data. The bioinformation measurement system 1 outputs (transmits) information including the changed score CS2 obtained by changing the score SC2, which is the original data, to the display means 300, which is a user terminal used by the user (user X) who was the subject of the target measurement. Note that the display of information is the same as that described in FIG. 25, so a detailed description will be omitted.

As described above, the biometric information measuring system 1 can suppress the effects of measurement variability by changing the information provided to the user through the second change. Therefore, the biometric information measuring system 1 can appropriately execute processing based on gas measurement.

In this way, the bioinformation measurement system 1 refers to past data and corrects the displayed information. The bioinformation measurement system 1 refers to the data from multiple past times and displays the average value. The bioinformation measurement system 1 refers to the data from multiple past times and displays the average value by weighting the data that is closer to the present. Note that the bioinformation measurement system 1 is not limited to using the average value of the most recent two times of data as described above, and may use any information. For example, the bioinformation measurement system 1 may use a weighted average of the most recent three or more times of data. In this case, the bioinformation measurement system 1 may use a weighted average in which the weight of the data that is closer in time is heavier among the most recent three or more times of data. Furthermore, the bioinformation measurement system 1 does not need to use information that was changed in the past (score after change) when calculating the average value.

<1-11-3. Third change>
The biometric information measuring system 1 may make changes using any information, not limited to the first change and the second change. For example, the biometric information measuring system 1 may execute a third change that changes information using information for notifying the user. In this case, the biometric information measuring system 1 outputs second information regarding measurement accuracy when a predetermined condition is satisfied. The biometric information measuring system 1 outputs third information regarding a measurement error when a predetermined condition is satisfied.

If at least one of the change conditions is satisfied, the vital information measuring system 1 performs a third change. The vital information measuring system 1 executes a third change as shown in FIG. 28. FIG. 28 is a diagram showing a third change of information by the vital information measuring system. Content CT13 in FIG. 28 is information showing the change over time in the score based on the measurement of the user's bowel gas.

The score SC3 in the content CT13 indicates the score before the change based on the measurement (target measurement) at the corresponding date and time. The vital information measurement system 1 performs the third change if any of the values in the target measurement satisfy at least one of the change conditions. The vital information measurement system 1 executes the third change if it determines that the value in the target measurement satisfies the change condition.

In FIG. 28, the biometric information measuring system 1 determines that the value in the target measurement satisfies the change condition, and adds information INF1 to content CT13. For example, when the biometric information measuring system 1 determines that the value in the target measurement satisfies the change condition, it adds second information to content CT13 indicating that attention is required for the value calculated from the target measurement. The biometric information measuring system 1 adds information INF1 including information indicating that the measurement accuracy may be poor to content CT13. The biometric information measuring system 1 adds information INF1 including third information indicating that there may be a measurement error to content CT13.

The biometric information measurement system 1 outputs content CT13 to which information INF1 including second information on measurement accuracy and third information on measurement error has been added. The biometric information measurement system 1 outputs (transmits) content CT13 to which information INF1 notifying the user that there may be a problem with the measurement of the score SC3 of the target measurement has been added to display means 300, which is a user terminal used by the user (user X) who was the subject of the target measurement. Note that the display of information is similar to that described in FIG. 25, so a detailed description will be omitted.

As described above, the biological information measuring system 1 can suppress the influence of measurement variability by changing the information provided to the user through the third modification. Therefore, the biological information measuring system 1 can appropriately execute processing based on gas measurement.

The biological information measuring system 1 may also perform the third change when conditions other than the above change conditions are met. For example, the biological information measuring system 1 may perform the third change by adding information INF1 to the content CT13 to notify that the measurement may not have been performed correctly, such as when the measurement itself is difficult.

The above-described embodiments and variations can be combined as appropriate to the extent that they do not cause inconsistencies in the processing content.

Further advantages and modifications may readily occur to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and equivalents thereof.

The above-described embodiments and modifications may have the following configurations, but are not limited to these.
(1)
A vital sign measuring system for measuring vital signs of a user of a toilet room based on fecal gas discharged into a bowl of a toilet bowl installed in the toilet room, comprising:
a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas;
A control device for controlling the gas detection device;
having
The control device includes:
calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor;
calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value;
calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value;
The biological information measurement system estimates the user's health condition or information related thereto (health condition information) based on the third calculated value,
The control device includes:
a zeroth calculated value corresponding to an odorous gas and hydrogen gas calculated based on a detection result of the second gas sensor, the second calculated value, or the third calculated value is corrected.
(2)
The control device includes:
The biological information measuring system according to (1), characterized in that the correction is a correction to decrease the second calculated value or an increase in the zero calculated value.
(3)
The control device includes:
The biological information measuring system described in (2) is characterized in that the correction is performed when the first calculated value or the second calculated value exceeds a first threshold value, or when the first calculated value exceeds the first threshold value and the third calculated value falls below a second threshold value smaller than the first threshold value, or when the second calculated value falls below a second threshold value smaller than the first threshold value.
(4)
The control device includes:
The biological information measuring system according to (2), wherein the correction is performed when the second calculated value exceeds the zero calculated value.
(5)
The control device includes:
The bioinformation measuring system according to any one of (1) to (4), further comprising a preset correction value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the third calculated value is replaced with the correction value as the correction.
(6)
A toilet seat device that measures biological information of a user of a toilet room based on defecation gas discharged into a bowl of a toilet installed in the toilet room,
a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas;
A control device for controlling the gas detection device;
having
The control device includes:
calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor;
calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value;
calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value;
The toilet seat device estimates information regarding the health condition of the user based on the third calculated value,
The control device includes:
a zeroth calculated value corresponding to odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor, the second calculated value, or the third calculated value, wherein correction is performed on at least one of the zeroth calculated value, the second calculated value, or the third calculated value.

Reference Signs List 1 Biometric information measuring system 2 Toilet seat device 3 Main body 4 Measuring device 5 Toilet seat 6 Cleansing nozzle 7 Toilet bowl 8 Bowl 9 Toilet cover 10 Suction device 20 Gas detection device 40 Gas sensor 100 Control device 110 Communication unit 120 Memory unit 130 Control unit 131 Acquisition unit 132 Processing unit 133 Output unit 200 Estimation means R Toilet room

Claims (7)

A vital sign measuring system for measuring vital signs of a user of a toilet room based on fecal gas discharged into a bowl of a toilet bowl installed in the toilet room, comprising:
a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas;
A control device for controlling the gas detection device;
having
The control device includes:
calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor;
calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value;
calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value;
The biological information measuring system estimates a health condition of the user or information related to the health condition based on the third calculated value,
The control device includes:
determining whether or not at least one of a zeroth calculation value, the second calculation value, or the third calculation value, which is calculated based on the detection result of the second gas sensor and corresponds to the odorous gas and hydrogen gas , satisfies a predetermined correction condition;
a predetermined correction for decreasing the second calculated value or a predetermined correction for increasing the zero calculated value when the second calculated value or the zero calculated value is corrected based on a determination result of whether or not the second calculated value or the zero calculated value satisfies the predetermined correction condition. The control device includes:
The biological information measuring system according to claim 1, characterized in that the correction is performed when the first calculated value or the second calculated value exceeds a first threshold value, or when the third calculated value falls below a second threshold value smaller than the first threshold value. The control device includes:
The biological information measuring system according to claim 1 , wherein the correction is performed when the second calculated value is greater than the zero calculated value. The control device includes:
The bioinformation measuring system of any one of claims 1 to 3, characterized in that it has a preset correction value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the correction is to replace the third calculated value with the correction value. A vital sign measuring system for measuring vital signs of a user of a toilet room based on fecal gas discharged into a bowl of a toilet bowl installed in the toilet room, comprising:
a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas;
A control device for controlling the gas detection device;
having
The control device includes:
calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor;
calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value;
calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value;
The biological information measuring system estimates a health condition of the user or information related to the health condition based on the third calculated value,
The control device includes:
performing a correction on at least one of a zeroth calculation value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor, the second calculation value, and the third calculation value;
The control device has a correction value preset as a value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the control device replaces the third calculated value with the correction value as the correction.
A biological information measuring system comprising: A toilet seat device that measures biological information of a user of a toilet room based on fecal gas discharged into a bowl of a toilet installed in the toilet room,
a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas;
A control device for controlling the gas detection device;
having
The control device includes:
calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor;
calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value;
calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value;
The toilet seat device estimates a health condition or information about the health condition of the user based on the third calculated value,
The control device includes:
determining whether or not at least one of a zeroth calculation value, the second calculation value, or the third calculation value, which is calculated based on the detection result of the second gas sensor and corresponds to the odorous gas and hydrogen gas , satisfies a predetermined correction condition;
a toilet seat device characterized in that, when the second calculated value or the zero calculated value is corrected based on a determination result of whether or not the second calculated value or the zero calculated value satisfies the specified correction condition, a specified correction is made to decrease the second calculated value or a specified correction is made to increase the zero calculated value . A toilet seat device that measures biological information of a user of a toilet room based on fecal gas discharged into a bowl of a toilet installed in the toilet room,
a gas detection device including a first gas sensor that reacts to hydrogen gas contained in a gas and a second gas sensor that reacts to an odorous gas containing a sulfur component and hydrogen gas;
A control device for controlling the gas detection device;
having
The control device includes:
calculating a first calculated value corresponding to hydrogen gas based on a detection result of the first gas sensor;
calculating a second calculated value corresponding to hydrogen gas of the second gas sensor based on the first calculated value;
calculating a third calculation value corresponding to the odorous gas based on the detection result of the second gas sensor and the second calculation value;
The toilet seat device estimates a health condition or information about the health condition of the user based on the third calculated value,
The control device includes:
performing a correction on at least one of a zeroth calculation value corresponding to the odorous gas and hydrogen gas calculated based on the detection result of the second gas sensor, the second calculation value, and the third calculation value;
The control device has a correction value preset as a value corresponding to the odorous gas, and when the third calculated value falls below a third threshold, the control device replaces the third calculated value with the correction value as the correction.
A toilet seat device comprising:

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