JP6960849B2 - Bio-information processing equipment, bio-information processing system, bio-information processing method and program - Google Patents

Description

The present invention relates to a biometric information processing device, a biometric information processing system, a biometric information processing method and a program.

A technique for estimating the fat metabolism level by measuring the concentration of acetone, which is one of the gas components contained in the exhaled breath, that is, the exhaled acetone concentration is known (for example, Patent Document 1). Further, there is known a technique for estimating a fat metabolism level with high accuracy by correcting the measured exhaled acetone concentration based on profile information such as age, height, and body weight (for example, Patent Document 2).

Japanese Unexamined Patent Publication No. 2001-318069 Japanese Unexamined Patent Publication No. 2016-75536

However, the above-mentioned prior art has the following problems. The concentration or amount of components in the biological gas released from exhaled breath or skin changes depending on factors such as measurement time, meal intake time, calories of ingested meal, exercise implementation status, that is, disturbance factors. .. Therefore, in order to accurately evaluate changes in daily health conditions, it was necessary to unify the measurement time and measurement conditions, measure biological information, and then compare them. On the other hand, it is difficult for the user to measure the biological information at the same measurement time and measurement conditions every time, which requires a heavy burden on the user.

Therefore, in order to solve the above problem, the present invention specifies so that the biometric information of each measurement result can be compared even when the biometric information is not measured by unifying the measurement time or measurement conditions. Provided are a biometric information processing apparatus, system, program and method capable of accurately evaluating daily changes in health condition by making corrections to unify the conditions of. That is, even when the biological information is measured at an arbitrary measurement time or measurement condition, it is possible to accurately evaluate the daily changes in the health condition, and the burden on the user when measuring the biological information is increased. Reduce.

According to the disclosed technology, a biological information measuring unit that measures the biological information of the person to be measured, a profile information acquiring unit that acquires profile information related to the fluctuation of the biological information of the person to be measured, and a fluctuation of the biological information due to a disturbance factor. based the first variation amount of the biological information at predetermined time slot that does not include the amount, in the second variation amount of the biological information before the predetermined time period by Kigairan factors, any of said predetermined time period from the measured biological information in time, before it has a correction unit for calculating biological information at a particular time of the predetermined time period variation amount of biological information has been removed by Kigairan factors, the correction unit The first fluctuation amount is specified based on the profile information and a learning or a predetermined model in which the biometric information measuring unit measures the biometric information of the person to be measured a plurality of times in a predetermined period. The correction unit may learn to measure the second fluctuation amount a plurality of times of the profile information and the biometric information in which the biometric information measuring unit receives fluctuations due to the disturbance factor of the person to be measured in a predetermined period. Specified based on a predetermined model, the biometric information is the exhaled acetone concentration, the disturbing factor is dietary intake, and the profile information is the height, weight and age of the biometric information device. Provided.

Even when biometric information is measured at an arbitrary measurement time or measurement conditions, it is possible to accurately evaluate changes in daily health conditions and reduce the burden on the user when measuring biometric information. be able to.

It is a figure which shows the functional structure example of the biological information processing apparatus 1 in embodiment of this invention. It is a figure which shows the hardware configuration example of the biological information processing apparatus 1 in embodiment of this invention. It is a flowchart which shows the operation of the biological information processing apparatus 1 in embodiment of this invention. This is an example of profile information in the embodiment of the present invention. This is an example of a disturbance factor and an acquisition method in the embodiment of the present invention. This is an example of attributes related to disturbance factors and corrections in the embodiment of the present invention. It is a graph which shows the diurnal variation formula of the change amount of the acetone concentration in Example 1 of this invention. It is a graph which shows the diurnal variation formula of the change amount of the acetone concentration by the disturbance factor (breakfast intake time) in Example 2 of this invention. It is a graph which shows the diurnal variation formula of the change amount of the acetone concentration in Example 2 of this invention. It is a graph which shows the diurnal variation formula of the change amount of the acetone concentration by the disturbance factor (the amount of calorie intake at breakfast) in the modification 1 of this invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. First, the biometric information processing apparatus 1 according to the embodiment of the present invention will be described.

FIG. 1 is a diagram showing a functional configuration example of the biometric information processing apparatus according to the embodiment of the present invention. The biometric information processing apparatus 1 according to the embodiment of the present invention includes a biometric information acquisition unit 12, a disturbance factor acquisition unit 13, a profile acquisition unit 14, a correction unit 15, and a storage unit 16, and the biometric information acquisition unit 12 includes biometric information. It is connected to the measurement sensor 11. The biometric information processing device 1 may be, for example, a system in which a plurality of devices connected to each other via a network operate as any of the above functional units.

The biological information acquisition unit 12 acquires the biological information of the measurer by the biological information measurement sensor 11. The biometric information measurement sensor 11 may be included in the biometric information processing device 1, or the biometric information measurement sensor 11 and the biometric information processing device 1 are separated, and the result measured by the biometric information measurement sensor 11 is wirelessly transmitted. It may be transmitted to the biological information acquisition unit 12 via communication or the like. The biological information measurement sensor 11 is a sensor that measures various biological information such as, for example, acetone concentration, ethanol concentration, water vapor concentration, and heart rate. Further, the biological information measurement sensor 11 includes, for example, acetaldehyde, isoprene, methyl mercaptan, benzene, toluene, nonenal, formaldehyde, ammonia, methane, hydrogen sulfide, hydrogen, nitrogen monoxide, carbon monoxide, and carbon dioxide contained in the biological gas. Etc. may be measurable.

The disturbance factor acquisition unit 13 acquires information related to the disturbance factor such as the meal intake time, the calorie of the ingested meal, the time of the exercise performed, or the exercise intensity. Details of the disturbing factors will be described later.

The profile acquisition unit 14 acquires profile information of the measurer, for example, height, weight, age, gender, and the like. Details of the profile information will be described later.

The correction unit 15 is based on the profile information of the person to be measured acquired by the profile acquisition unit 14, the disturbance factor of the person to be measured acquired by the disturbance factor acquisition unit 13, and the biometric information of the person to be measured acquired by the biometric information acquisition unit 12. Then, the diurnal variation formula of the biological information which is the reference when there is no disturbance factor and the diurnal variation formula of the amount of change of the biological information caused by the disturbance factor are calculated, and for example, between a plurality of measurement results at a specific measurement time. Calculate biometric information that can be compared with. The detailed operation of the correction unit 15 will be described later.

In addition to the acquired biometric information, profile information, and information related to disturbance factors, the storage unit 16 shows how the biometric information fluctuates within the day when a user having a specific profile information implements a specific lifestyle. Information related to the fluctuation model showing, information showing how the biometric information changes due to disturbance factors by the user corresponding to specific profile information, information showing the measurement time and measurement conditions that serve as a reference for comparing the measurement results, etc. Is at least saved. The lifestyle refers to a lifestyle pattern including, for example, wake-up time, amount of exercise, dietary calories, taking medicine, and the like. The storage unit 16 does not have to be included in the biometric information processing device 1. For example, the storage unit 16 may be included in another information processing device connected via a network.

FIG. 2 is a diagram showing a hardware configuration example of the biometric information processing device 1 according to the embodiment of the present invention. The biometric information processing apparatus 1 according to the embodiment of the present invention shown in FIG. 1 shows a block of functional units. Each of these functional blocks is realized by any combination of hardware and / or software. Moreover, the means for realizing each functional block is not limited. That is, each functional block may be realized by one device in which a plurality of elements are physically and / or logically combined, or two or more devices physically and / or logically separated from each other directly and. / Or indirectly (for example, wired and / or wireless) connection may be realized by these plurality of devices.

Further, for example, the biometric information processing apparatus 1 according to the embodiment of the present invention may function as a computer that performs the processing according to the embodiment of the present invention. The computer includes an electronic device that operates based on an arbitrary execution program, such as a personal computer, a smartphone, a tablet terminal, a PDA (Personal Digital Assistant) device, or a wearable terminal. As shown in FIG. 2, the biometric information processing device 1 is a computer including a processor 101, a storage device 102, an auxiliary storage device 103, a communication device 104, an input device 105, an output device 106, a bus 107, and the like as a physical configuration. It may be configured.

In the following description, the word "device" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the biometric information processing device 1 may be configured to include one or more of the devices shown in FIGS. 101 to 106, or may be configured not to include some of the devices. May be good.

Each function realized by the biometric information processing device 1 is performed by loading predetermined software (program) on hardware such as the processor 101 and the storage device 102, so that the processor 101 performs an calculation, and the communication device 104 communicates and stores the data. This is achieved by controlling the reading and / or writing of data in the device 102 and the auxiliary storage device 103.

The processor 101 operates, for example, an operating system to control the entire computer. The processor 101 may be composed of a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic unit, registers, and the like.

Further, the processor 101 reads a program (program code), a software module, or data from the auxiliary storage device 103 and / or the communication device 104 into the storage device 102, and executes various processes according to these. The program realizes at least a part of the functions of the biometric information processing apparatus 1 according to the embodiment of the present invention by causing a computer to execute the program. For example, the biological information acquisition unit 12, the disturbance factor acquisition unit 13, the profile acquisition unit 14, and the correction unit 15 shown in FIG. 1 may be realized by a control program stored in the storage device 102 and operated by the processor 101. The various processes described above may be executed by one processor 101, or may be executed simultaneously or sequentially by two or more processors 101. Processor 101 may be mounted on one or more chips or cores. The program may be transmitted from the network via a telecommunication line.

The storage device 102 is a computer-readable recording medium, and is, for example, at least one of a ROM (Read Only Memory), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), a RAM (Random Access Memory), and the like. It may be configured. The storage device 102 may be called a register, a cache, a main memory (main storage device), or the like. The storage device 102 can store a program (program code), a software module, or the like that can be executed to carry out the process according to the embodiment of the present invention.

The auxiliary storage device 103 is a computer-readable recording medium, and is, for example, an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, an optical magnetic disk (for example, a compact disk, a digital versatile disk, Blu). -It may be composed of at least one of a ray (registered trademark) disk), a smart card, a flash memory (for example, a card, a stick, a key drive), a floppy (registered trademark) disk, a magnetic strip, and the like. The auxiliary storage device 103 may be referred to as an auxiliary storage medium. The storage medium described above may be, for example, a database, server or other suitable medium including the storage device 102 and / or the auxiliary storage device 103. The storage unit 16 shown in FIG. 1 may be realized by the storage device 102 and the auxiliary storage device 103.

The communication device 104 is hardware (transmission / reception device) for performing communication between computers via a wired and / or wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like. For example, the storage unit 16 shown in FIG. 1 may be realized by another computer connected via the communication device 104.

The input device 105 is an input device (for example, a keyboard, a mouse, a microphone, a switch, a button, a sensor, etc.) that receives an input from the outside. The output device 106 is an output device (for example, a display, a speaker, an LED lamp, etc.) that outputs to the outside. The input device 105 and the output device 106 may have an integrated configuration (for example, a touch panel). For example, the function of receiving information input from the user in the disturbance factor acquisition unit 13 or the profile acquisition unit 14 shown in FIG. 1 may be realized by the input device 105 and the output device 106.

Further, each device such as the processor 101 and the storage device 102 is connected by a bus 107 for communicating information. The bus 107 may be composed of a single bus, or may be composed of different buses between the devices.

Further, the biometric information processing device 1 includes hardware such as a microprocessor, a digital signal processor (DSP: Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), and an FPGA (Field Programmable Gate Array). It may be configured to include, and a part or all of each functional block may be realized by the hardware. For example, the processor 101 may be implemented on at least one of these hardware.

FIG. 3 is a flowchart showing the operation of the biometric information processing apparatus 1 according to the embodiment of the present invention. In FIG. 3, a flowchart of an operation in which the correction unit 15 of the biometric information processing device 1 corrects biometric information will be described. Hereinafter, the person to be measured for biological information is referred to as a user.

In step S1, the correction unit 15 acquires the user's biometric information measured by the biometric information measurement sensor 11 from the biometric information acquisition unit 12. The measurement of biological information may be performed at any time. Further, the correction unit 15 acquires profile information from the profile acquisition unit 14. Further, the correction unit 15 acquires information related to the disturbance factor from the disturbance factor acquisition unit 13.

FIG. 4 is an example of profile information according to the embodiment of the present invention. Profile information is acquired and saved for each user. As shown in FIG. 4, the profile information relating to a certain user is, for example, "height", "weight", "age", "gender", "basal metabolic rate", "muscle mass", "body fat percentage". , "Bone density", "body temperature", "blood pressure", "race", "genome information", "variation model", "variation model learning setting", "correction model", "correction model learning setting", etc. ..

"Height", "Weight", "Age", "Gender", "Basal metabolic rate", "Muscle mass", "Body fat percentage", "Bone density", "Body temperature", "Blood pressure", "Race" , "Genome information" is input of user information, and based on one or more of these information, the user's "variation model" is defined, and corrections related to the amount of change in biometric information are performed. Be told. For example, a user who has a relatively high value for "basal metabolic rate" has a larger diurnal variation in biometric information than a user who has a relatively low value for "basal metabolic rate". A variation model may be applied and corrections may be made to increase the amount of change. Further, similarly to the "variation model", the "correction model" of the user is defined, and the correction related to the amount of change in the biological information due to the disturbance factor is performed. The "variation model learning setting" or "correction model learning setting" is setting information related to learning when generating the "variation model" or "correction model", and is, for example, information indicating whether or not to perform learning. , Information indicating the learning period, etc. may be included.

FIG. 5 is an example of a disturbance factor and an acquisition method in the embodiment of the present invention. The information related to the disturbance factor is acquired by the disturbance factor acquisition unit 13 for each user and stored in the storage unit 16. As shown in FIG. 5, the “disturbance factor” and one or more “acquisition methods” may be associated and stored. "Disturbance factors" are "meal intake time", "meal calories", "exercise time", "exercise intensity", "presence or absence of drinking", "presence or absence of perfume", "medicine being taken", "sleep time" , "Presence or absence of gum intake", "Presence or absence of smoking", "Measurement location", etc. The "acquisition method" is based on "user input", and "heart rate measurement", "ethanol measurement", and "odor measurement" that the biometric information processing device 1 measures with a biometric information measurement sensor 11 or the like without relying on user input. , "Activity / brain wave measurement", "GPS measurement", etc.

The disturbance factor acquisition unit 13 acquires the "disturbance factor" by the "acquisition method". For example, the disturbance factor acquisition unit 13 displays a screen prompting the user to input information about the “meal intake time” and the “meal calorie”, and the user uses the user interface of the biometric information processing device 1 to “morn”. Enter "7 o'clock" and "400 kcal". Further, for example, the disturbance factor acquisition unit 13 may acquire information relating to "presence or absence of alcohol consumption" by measuring the user's ethanol via the biological information measurement sensor 11.

FIG. 6 is an example of attributes related to disturbance factors and corrections in the embodiment of the present invention. As shown in FIG. 6, the “disturbance factor” and the attributes “persistence”, “duration”, and “acetone increase / decrease” related to the correction may be associated and stored in the storage unit 16.

"Persistence" is preserved as "long-term" or "short-term". In addition, attributes other than those, for example, "medium-term" may be included. As the "duration", T11 to T18 are stored as a long-term period, and T21 to T23 are stored as a short-term period. A plurality of "durations" may be stored for one "disturbance factor". For example, two values may be stored with the "duration" being T121 and T122, depending on the magnitude of the "meal calorie" value. As for "acetone increase / decrease", "+ (plus)" is stored when the amount of change in the acetone concentration measured by the user increases due to the disturbance factor, and "-(minus)" is stored when the change amount decreases. “+/-” may be preserved for disturbance factors that occur regardless of whether the amount of change in the acetone concentration increases or decreases. For "acetone increase / decrease", a more detailed value indicating the increase / decrease may be stored, or information indicating that the value does not change may be stored. In addition, information may be saved as a "correction direction" in which the plus and minus of "acetone increase / decrease" are reversed.

Return to FIG. In step S2, a diurnal variation formula of the amount of change with respect to the value of biometric information when there is no disturbance factor in the measurement time and measurement conditions that serve as a reference for comparing a plurality of biometric information based on the profile information acquired in step S1. Is calculated by the correction unit 15. The amount of change or calculation formula of the biological information corresponding to each "profile information" described with reference to FIG. 4 may be stored in the storage unit 16.

Subsequently, in step S3, based on the obtained information on the disturbance factor and the information on the storage unit 16, a diurnal variation formula of the amount of change in the biological information caused by the obtained disturbance factor is calculated. The amount of change or calculation formula of the biological information corresponding to the information related to the "disturbance factor" described with reference to FIG. 5 may be stored in the storage unit 16.

Subsequently, in step S4, the diurnal variation formula relating to the amount of change in the two biometric information calculated in step S2 and step S3 and the value of the biometric information measured at an arbitrary time and condition serve as a reference for comparison. Calculate the value of biometric information at the measurement time.

(Example 1)
Hereinafter, Example 1 will be described.

FIG. 7 is a graph showing a diurnal variation formula of the amount of change in the acetone concentration in Example 1 of the present invention. In the first embodiment, the exhaled acetone concentration is set as the biological information, and the measurement time as the reference for comparing the biological information is set as 6 o'clock, and when the user performs the measurement at 8 o'clock, the acetone concentration is 2000 [ppb] (parts). An example is shown in which the correction unit 15 of the biometric information processing apparatus 1 corrects the exhaled acetone concentration at the time of -per-billion) to the exhaled acetone concentration at the measurement time of 6 o'clock.

The correction unit 15 uses a diurnal variation formula of the amount of change in the exhaled acetone concentration as shown in FIG. 7 based on the profile information (for example, height 170 cm, weight 60 kg, age 25 years, etc.) acquired from the profile acquisition unit 14. calculate. As an example, in calculating the diurnal variation formula, a predetermined biometric information measured at a specific time when the user performs a specific life pattern in advance is stored in the storage unit 16 together with information indicating a disturbance factor and profile information. A learning period may be provided, and the calculation may be performed based on the "variation model" generated by the correction unit 15 from the stored information.

The "variation model" is a model showing the amount of change in biometric information applicable to the user, and may be stored in association with the profile information. As described above, the "variation model" may be learned by measuring the amount of change in the biometric information of the user in a predetermined period. The predetermined period may be, for example, one week or an arbitrary period. Further, for example, as the "variation model", a general model generated based on the profile information collected from a large number of users and the amount of change in biometric information may be used. The general model may be, for example, a model classified by gender, age, or the like. The settings related to the learning of the "variation model" may be saved in association with the profile information.

Further, the biometric information processing device 1 stores biometric information of a plurality of users, information related to disturbance factors, and profile information on the cloud, and the storage unit 16 acquires and generates information on the cloud. , The correction unit 15 may calculate the diurnal variation formula. The "variation model" may be generated in the cloud.

FIG. 7 is a graph of the diurnal variation formula calculated as an example. In FIG. 7, time 6 o'clock, which is the measurement time used as a reference for comparing biological information, is defined as 0 [ppb], time 7 o'clock is 200 [ppb], time 9 o'clock is 0 [ppb], and time 12 o'clock. The amount of change in acetone concentration of 300 [ppb] is shown. As shown in FIG. 7, it can be seen that the exhaled acetone concentration at 6 o'clock is 100 [ppb] lower than the exhaled acetone concentration at 8 o'clock. Therefore, the correction unit 15 can calculate that the exhaled acetone concentration at 6 o'clock is 2000 [ppb] -100 [ppb] = 1900 [ppb].

As in the first embodiment, the correction unit 15 determines the diurnal variation of the user's biometric information based on the user's profile information and the variation model generated by learning from the biometric information measured in a predetermined period. The formula can be calculated. Based on the diurnal variation formula, the value of the biometric information at a specific time can be calculated from the value of the biometric information measured at an arbitrary time.

(Example 2)
Hereinafter, the second embodiment will be described. In the second embodiment, the points different from the first embodiment will be described. Therefore, the points not particularly mentioned may be the same as in the first embodiment. Further, the first embodiment and the second embodiment may be executed in combination.

FIG. 8 is a graph showing a diurnal variation formula of the amount of change in the acetone concentration due to a disturbance factor (breakfast intake time) in Example 2 of the present invention. In Example 2, when the measurement time using the biological information as the exhaled acetone concentration and the reference for comparing the biological information was 6 o'clock, the breakfast intake time was 8 o'clock, and the measurement was performed at 8 o'clock, the acetone concentration was 1500 [ppb. ], The exhaled acetone concentration at the time of measurement is corrected to the exhaled acetone concentration at 6 o'clock.

The correction unit 15 calculates a diurnal variation formula of the amount of change in the exhaled acetone concentration when subjected to a disturbance factor based on the profile information (for example, height 170 cm, weight 60 kg, age 25 years, etc.). A graph of the diurnal variation formula without considering the calculated disturbance factor is shown in FIG. Further, FIG. 8 shows a graph of a diurnal variation formula of the amount of change in the exhaled acetone concentration due to a disturbance factor (breakfast intake time) based on the breakfast intake time information (8 o'clock).

As an example, in the calculation of the diurnal variation formula, the biometric information measured by the user in advance by receiving the disturbance factor is stored in the storage unit 16 together with the information indicating the disturbance factor and the profile information by providing a predetermined learning period. It may be calculated based on the "correction model" generated by the correction unit 15 from the information.

The "correction model" is a model showing the amount of change in biometric information based on disturbance factors applicable to the user, and may be stored in association with the profile information. Further, the "correction model" may include a value defined for each disturbance factor shown in FIG. For example, the "correction model" may have attributes such as a large amount of change in biological information, a medium amount of change, and a small amount of change.

For example, when the "exercise intensity" is not more than a predetermined value, the amount of change in the biological information may be zero, and the predetermined value may be defined differently for each user. Further, for example, in the "correction model", the magnitude of the amount of change in biological information due to a disturbance factor may be defined. That is, a value when the amount of change in the biological information due to a certain disturbance factor is large and a value when the amount of change in the biological information is small may be defined by the user. Further, for example, similarly to the "variation model" described with reference to FIG. 7, the "correction model" may be learned by measuring the amount of change in biological information due to the disturbance factor of the user in a predetermined period. The predetermined period may be, for example, one week or an arbitrary period. Further, as the "correction model", a general model generated based on the profile information collected from a large number of users and the amount of change in the biological information due to the disturbance factor may be used. The general model may be, for example, a model classified by gender, age, or the like.

Further, the diurnal variation formula calculated by the correction unit 15 may be calculated based on the attributes, “sustainability” and “duration” for each disturbance factor shown in FIG. For example, a disturbance factor having a long-term "sustainability" has a change amount set over a long period of time in a diurnal variation graph, and a disturbance factor having a short-term "sustainability" has a diurnal variation graph. , The amount of change may be set in a short period of time. For example, in the disturbance factor "presence or absence of gum intake", the amount of change in biological information may be positive within 30 minutes after ingestion, and the amount of change in biological information may be zero after 30 minutes after ingestion.

The graph of the actual diurnal variation formula considering the profile information and the disturbance factor can be obtained by adding the graph of FIG. 7 and the graph of FIG. A graph obtained by adding the graph of FIG. 7 and the graph of FIG. 8 is shown in FIG.

FIG. 9 is a graph showing a diurnal variation formula of the amount of change in the acetone concentration in Example 2 of the present invention. In FIG. 9, the measurement time of 6 o'clock, which is the reference for comparing biological information, is defined as 0 [ppb], and the acetone concentration fluctuation is 400 [ppb] at 8 o'clock and 200 [ppb] at 10 o'clock. The amount is shown. As shown in FIG. 9, it can be seen that the exhaled acetone concentration at 6 o'clock is 400 [ppb] lower than the exhaled acetone concentration at 8 o'clock. Therefore, the correction unit 15 can calculate that the exhaled acetone concentration at 6 o'clock is 1500 [ppb] -400 [ppb] = 1100 [ppb].

As in the second embodiment described above, the correction unit 15 determines the disturbance factor based on the user's profile information and the correction model generated by learning from the biometric information measured during a predetermined period of time when the disturbance factor is received. It is possible to calculate the diurnal variation formula of the biometric information of the user who received the information. The value of the biometric information at a specific time from the value of the biometric information measured at an arbitrary time based on the diurnal variation formula and the diurnal variation formula obtained in Example 1 when not receiving the disturbance factor. Can be calculated.

(Modification example 1)
Hereinafter, the first modification will be described. Modification 1 will explain the differences from Example 1 or Example 2. Therefore, the points not particularly mentioned may be the same as in Example 1 or Example 2.

In addition to the breakfast intake time, which is a disturbance factor explained in Example 2, the disturbance factors include the time of intake of food and drink, the amount of calories of food and drink ingested, the amount of nutritional components of food and drink ingested, the time of exercise, and the implementation. Data such as the exercise time, the intensity of the exercise performed, the presence or absence of drinking, the presence or absence of smoking, the presence or absence of gum intake, the sleeping time, the medicine being taken, the presence or absence of perfume, the measurement location of biological information, etc. are as shown in Example 2. It may be acquired in advance and a "correction model" may be generated and used to generate a diurnal variation formula.

FIG. 10 is a graph showing a diurnal variation formula of the amount of change in the amount of acetone released due to a disturbance factor (amount of calories ingested at breakfast) in the first modification of the present invention. As an example, FIG. 10 shows an example of a diurnal variation formula of the amount of change in the amount of acetone released from skin gas when breakfast is ingested at 7 o'clock and the calorie content of the breakfast ingested is 200 kcal higher than usual. Since the calorie content of breakfast is 200 kcal higher, fat metabolism is stopped after breakfast is ingested, and the amount of change in the amount of acetone released from skin gas shows a negative value.

In FIG. 10, the fluctuation amount of the acetone release amount at 6 o'clock ^{is defined as 0 [pg / cm 2} · min], and the fluctuation amount of the acetone release amount becomes a negative value from 7 o'clock time. In FIG. 10, skin gas is assumed as an example, and the unit [pg / cm ² · min] indicates the mass of gas released from around ^{1 cm 2 of the skin per minute.} Time variation amount of acetone emissions to 8:00 is reached minus ^{100 [pg / cm 2 · min} ] , after time until 10, minus ^{100 [pg / cm 2 · min} ] continues.

The correction unit 15 may consider a plurality of disturbance factors at the same time. If a diurnal variation formula for the amount of change in biological information is calculated for each disturbance factor, the diurnal variation formulas can be added to obtain a plurality of disturbance factors. It is possible to correct the biological information in consideration.

That is, when considering a disturbance factor with the correction unit 15, a diurnal variation formula corresponding to another disturbance factor is calculated, and the diurnal variation formula is added to the diurnal variation formula corresponding to the case where there is no disturbance factor. Therefore, it is possible to correct the biological information in consideration of a certain disturbance factor. When the correction unit 15 considers a plurality of disturbance factors, a plurality of diurnal variation formulas are calculated for each disturbance factor, and each diurnal variation formula is added to the diurnal variation formula corresponding to the case where there is no disturbance factor. It is possible to correct biological information in consideration of the influence of disturbance factors.

In the above-mentioned Examples 1 and 2, the biological information is described as "acetone concentration in exhaled breath", but it may be the amount of acetone released from the skin gas instead of exhaled breath as in the modified example 1. In addition, the biological information may be any concentration or release amount of biological gas, for example, acetaldehyde, nonenal, isoprene, methyl mercaptan, benzene, toluene, formaldehyde, ammonia, methane, hydrogen sulfide, hydrogen, nitrogen monoxide, one. It may be carbon oxide, carbon dioxide, water or the like. Further, the biological information is not limited to the biological gas, and may be other biological information such as heart rate, blood pressure, and body temperature. Regardless of the biometric information, the diurnal variation formula when the biometric information is measured at an arbitrary measurement time or measurement condition is corrected by correcting the amount of change in the biometric information as described in each embodiment. It is possible to calculate the value of biometric information at the measurement time, which is a reference for comparing the values of a plurality of biometric information.

According to the above-described embodiment of the present invention, even when the biological information is measured at an arbitrary measurement time or measurement condition, it is possible to accurately evaluate changes in daily health condition, and the user can use it. Can reduce the burden of measuring biological information.

(Summary of embodiments)
As described above, according to the embodiment of the present invention, the biological information measuring unit that measures the biological information of the person to be measured and the disturbance factor acquiring unit that acquires the disturbing factor that fluctuates the biological information of the person to be measured. Based on the biological information in a predetermined time zone that does not include the fluctuation amount of the biological information due to the disturbance factor and the acquired fluctuation amount of the biological information in the predetermined time zone due to the disturbance factor, the predetermined time zone. Biological information having a correction unit for calculating biometric information at a specific time in the predetermined time zone in which the amount of fluctuation of the acquired biometric information due to the disturbance factor is removed from the biometric information measured at an arbitrary time of A processing device is provided.

With the above configuration, even when the biometric information is measured at an arbitrary measurement time or measurement condition, it is possible to accurately evaluate the daily changes in the health condition, and when the user measures the biometric information. The burden on the user can be reduced.

The biometric information in a predetermined time zone, which further has a profile information acquisition unit for acquiring profile information related to changes in the biometric information of the person to be measured and does not include the amount of fluctuations in the biometric information due to disturbance factors, includes the profile information and the profile information. It may be specified based on learning that measures the biometric information of the person to be measured a plurality of times in a predetermined period or a predetermined model. With this configuration, it is possible to calculate biometric information that does not include disturbance factors based on the profile information of the person to be measured and the model learned by the person to be measured.

The amount of fluctuation of the biological information in the predetermined time zone due to the acquired disturbance factor measures the profile information and the biological information of the person to be measured that has been changed by the disturbance factor a plurality of times in a predetermined period. It may be specified based on training or a predetermined model. With this configuration, it is possible to calculate biological information including disturbance factors based on the profile information of the person to be measured and the model learned by the person to be measured.

The biometric information is the concentration or amount of biogas released, and the biogas is acetone, ethanol, isoprene, methyl mercaptan, benzene, toluene, acetaldehyde, nonenal, formaldehyde, ammonia, methane, hydrogen sulfide, hydrogen, one. It may contain either nitrogen oxide, carbon monoxide or carbon dioxide.

The disturbing factors include the time of intake of food and drink, the amount of calories of food and drink ingested, the amount of nutritional components of food and drink ingested, the time of exercise, the time of exercise performed, the intensity of exercise performed, the presence or absence of drinking, and smoking. It may include any of the presence / absence of, the presence / absence of gum intake, the time of sleep, the medicine being taken, the presence / absence of perfume, or the measurement location of biometric information.

The disturbance factor is classified according to the length of duration, and the correction related to the amount of change in the biological information measured from the subject may be performed in either the increasing direction, the decreasing direction, or not. ..

The profile information includes height, weight, BMI, age, gender, basal metabolic rate, muscle mass, body fat percentage, bone density, body temperature, blood pressure, race, genomic information, variation model, variation model learning setting, correction model, or It may include any of the correction model learning settings.

Further, according to the embodiment of the present invention, a biological information measuring unit that measures the biological information of the person to be measured, a disturbance factor acquiring unit that acquires a disturbance factor that fluctuates the biological information of the person to be measured, and a disturbance factor. Based on the biometric information in a predetermined time zone that does not include the fluctuation amount of the biometric information due to the above and the fluctuation amount of the biometric information in the predetermined time zone due to the acquired disturbance factor, any time in the predetermined time zone. Provided is a biometric information processing system having a correction unit for calculating biometric information at a specific time in the predetermined time zone in which the amount of fluctuation of the biometric information due to the disturbed factor is removed from the biometric information measured in. Will be done.

Further, according to the embodiment of the present invention, the biological information measurement procedure for measuring the biological information of the person to be measured, the disturbance factor acquisition procedure for acquiring the disturbance factor that fluctuates the biological information of the person to be measured, and the disturbance factor. Based on the biometric information in a predetermined time zone that does not include the fluctuation amount of the biometric information due to the above and the fluctuation amount of the biometric information in the predetermined time zone due to the acquired disturbance factor, an arbitrary time in the predetermined time zone. Provided is a biometric information processing method having a correction procedure for calculating biometric information at a specific time in the predetermined time zone in which the amount of fluctuation of the biometric information due to the disturbed factor is removed from the biometric information measured in. Will be done.

Further, according to the embodiment of the present invention, it is a program that can be executed by a computer.
A biological information measurement procedure for measuring the biological information of the person to be measured, a disturbance factor acquisition procedure for acquiring a disturbance factor that fluctuates the biological information of the person to be measured, and a predetermined time not including the amount of change in the biological information due to the disturbance factor. The said biometric information acquired from the biometric information measured at an arbitrary time in the predetermined time zone based on the biometric information in the band and the amount of fluctuation of the biological information in the predetermined time zone due to the acquired disturbance factor. A program is provided that causes the computer to perform a correction procedure for calculating biometric information at a specific time in the predetermined time zone in which the amount of variation in biometric information due to a disturbance factor is removed.

The phrase "based on" as used herein does not mean "based on" unless otherwise stated. In other words, the statement "based on" means both "based only" and "at least based on".

As long as "include", "include", and variations thereof are used herein or in the claims, these terms are similar to the term "comprising". Is intended to be inclusive. Furthermore, the term "or" as used herein or in the claims is intended not to be an exclusive OR.

Throughout this disclosure, if articles are added by translation, for example a, an and the in English, these articles will be plural unless the context clearly indicates that they are not. Can include

Although the present invention has been described in detail above, it is clear to those skilled in the art that the present invention is not limited to the embodiments described herein. The present invention can be implemented as modifications and modifications without departing from the spirit and scope of the invention as defined by the claims. Therefore, the description of the present specification is for the purpose of exemplification and does not have any limiting meaning to the present invention.

1 Biological information processing device 11 Biological information measurement sensor 12 Biological information acquisition unit 13 Disturbance factor acquisition unit 14 Profile acquisition unit 15 Correction unit 16 Storage unit 101 Processor 102 Storage device 103 Auxiliary storage device 104 Communication device 105 Input device 106 Output device 107 Bus

Claims (4)

A biometric information measuring unit that measures the biometric information of the person to be measured,
The profile information acquisition unit that acquires profile information related to changes in the biometric information of the person to be measured, and the profile information acquisition unit.
A first variation amount of the biological information at predetermined time slot that does not include the amount of variation of the biological information by the disturbance factor, based on the second variation amount of the biological information before the predetermined time period by Kigairan factors, calculating biological information in the from the biometric information measuring unit biological information was measured, a specific time before the predetermined time period variation amount of biological information has been removed by Kigairan factors at any time of the predetermined time period have a correction unit that,
The correction unit measures the first fluctuation amount based on the profile information and a learning or a predetermined model in which the biometric information measuring unit measures the biometric information of the person to be measured a plurality of times in a predetermined period. Identify and
The correction unit is learning or learning that the second fluctuation amount is measured a plurality of times by the profile information and the biometric information in which the biometric information measuring unit receives fluctuations due to the disturbing factor of the person to be measured in a predetermined period. Identify based on a predetermined model,
The biometric information is the exhaled acetone concentration.
The disturbing factor is dietary intake.
The profile information is a biometric information processing device that is height, weight, and age. A biometric information measuring unit that measures the biometric information of the person to be measured,
The profile information acquisition unit that acquires profile information related to changes in the biometric information of the person to be measured, and the profile information acquisition unit.
A first variation amount of the biological information at predetermined time slot that does not include the amount of variation of the biological information by the disturbance factor, based on the second variation amount of the biological information before the predetermined time period by Kigairan factors, calculating biological information in the from the biometric information measuring unit biological information was measured, a specific time before the predetermined time period variation amount of biological information has been removed by Kigairan factors at any time of the predetermined time period have a correction unit that,
The correction unit measures the first fluctuation amount based on the profile information and a learning or a predetermined model in which the biometric information measuring unit measures the biometric information of the person to be measured a plurality of times in a predetermined period. Identify and
The correction unit is learning or learning that the second fluctuation amount is measured a plurality of times by the profile information and the biometric information in which the biometric information measuring unit receives fluctuations due to the disturbing factor of the person to be measured in a predetermined period. Identify based on a predetermined model,
The biometric information is the exhaled acetone concentration.
The disturbing factor is dietary intake.
The profile information is a biometric information processing system that is height, weight, and age. The biometric information measurement procedure for measuring the biometric information of the person to be measured, and the biometric information measurement procedure.
Profile information acquisition procedure for acquiring profile information related to changes in the biometric information of the subject, and
A first variation amount of the biological information at predetermined time slot that does not include the amount of variation of the biological information by the disturbance factor, based on the second variation amount of the biological information before the predetermined time period by Kigairan factors, from the biological information measured by the biological information measurement procedure at any time in the predetermined time period, the biological information at a particular time of the predetermined time period variation amount of biological information has been removed by the pre Kigairan factors and correction procedure for calculating,
A procedure for specifying the first fluctuation amount based on the profile information and a learning or a predetermined model in which the biometric information of the person to be measured is measured a plurality of times in a predetermined period by the biometric information measuring procedure. ,
A learning or predetermined model in which the second fluctuation amount is measured a plurality of times by the profile information and the biological information that has been changed by the disturbance factor of the person to be measured in a predetermined period by the biological information measurement procedure. The biometric information processing device executes the procedure to identify based on
The biometric information is the exhaled acetone concentration.
The disturbing factor is dietary intake.
The profile information is a biometric information processing method that is height, weight, and age. A computer-executable program
The biometric information measurement procedure for measuring the biometric information of the person to be measured, and the biometric information measurement procedure.
Profile information acquisition procedure for acquiring profile information related to changes in the biometric information of the subject, and
A first variation amount of the biological information at predetermined time slot that does not include the amount of variation of the biological information by the disturbance factor, based on the second variation amount of the biological information before the predetermined time period by Kigairan factors, from the biological information measured by the biological information measurement procedure at any time in the predetermined time period, the biological information at a particular time of the predetermined time period variation amount of biological information has been removed by the pre Kigairan factors The correction procedure to calculate and
A procedure for specifying the first fluctuation amount based on the profile information and a learning or a predetermined model in which the biometric information of the person to be measured is measured a plurality of times in a predetermined period by the biometric information measuring procedure. ,
A learning or predetermined model in which the second fluctuation amount is measured a plurality of times by the profile information and the biological information that has been changed by the disturbance factor of the person to be measured in a predetermined period by the biological information measurement procedure. Have the computer perform the steps to identify based on
The biometric information is the exhaled acetone concentration.
The disturbing factor is dietary intake.
The profile information is a program of height, weight and age.

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