JP7501017B2 - Excretion management system, excretion management method and program - Google Patents

Description

The present invention relates to an excretion management system, an excretion management method, and a program.

In recent years, the accelerating decline in the birthrate and aging of society have led to a shortage of caregivers and a high turnover rate due to the increased burden of care per person, which has become a social issue. In the field of care, so-called "excrement care" is one of the most important care tasks for maintaining the quality of life of the care recipient. According to a survey conducted by the Cabinet Office in fiscal 2013, 62.5% of 696 people with care experience answered that they had difficulty accompanying their care recipients during excrement or changing diapers. There are a wide variety of sensing technologies for the purpose of detecting and predicting excrement, such as measuring moisture, humidity, temperature, odor, or the movement of the excrement organs. In addition, recent technological innovations have led to the proposal of systems that use machine learning of care records or AI (Artificial Intelligence) to predict behaviors such as excrement.

As a system for predicting the behavior of caregivers, technology has been disclosed that predicts the excretion of care recipients and creates a visiting schedule for multiple care recipients based on the predicted care-requiring time of the care recipients (for example, Patent Document 1). Also disclosed is a care plan adjustment system that can provide appropriate care to care recipients based on a care plan adjusted according to the condition of the care recipients (for example, Patent Document 2).

Compared to care cases such as medication and meal assistance, care for excretion is characterized by its dependency on the experience of the caregiver and the cognitive ability of the person being cared for, making it difficult to schedule care. However, with conventional technology, although the excretion of the person being cared for is predicted and scheduled, there is a problem in that it is difficult to grasp whether the predicted results are correct and whether the generated schedule is highly accurate.

The present invention has been made in consideration of the above, and aims to provide an excretion management system, an excretion management method, and a program that can create a care schedule that caregivers can recognize as highly accurate by visualizing excretion patterns.

In order to solve the above-mentioned problems and achieve the object, the present invention is characterized by comprising a first detection unit that detects excretion of a care recipient, a second detection unit that detects biometric information of the care recipient, a generation unit that generates a histogram of the number of excretion events as an excretion pattern of the care recipient based on the number of excretion events detected by the first detection unit, a prediction unit that associates the histogram of the number of excretion events with time series data of the biometric information detected by the second detection unit, extracts a unique pattern of the biometric information of the care recipient before excretion, and predicts the timing of the excretion of the care recipient based on the result of comparing this extracted unique pattern with the time series data of the biometric information and the number of histograms associated with the time series data, a creation unit that creates a schedule for assisting the excretion of the care recipient based on the prediction result by the prediction unit, and a display control unit that displays at least the excretion pattern generated by the generation unit on a display device.

According to the present invention, by visualizing excretion patterns, it is possible to create a care schedule that can be recognized as highly accurate by caregivers.

FIG. 1 is a diagram showing an example of the configuration of an excretion management system according to an embodiment. FIG. 2 is a diagram illustrating an example of a hardware configuration of the information processing apparatus according to the embodiment. FIG. 3 is a diagram illustrating an example of a functional block configuration of the information processing device according to the embodiment. FIG. 4 is a diagram showing an example of a histogram of the number of excretion times. FIG. 5 is a diagram showing a histogram and a graph of biological information in association with each other. FIG. 6 is a diagram illustrating an example of a guidance schedule created by the information processing device according to the embodiment. FIG. 7 is a flowchart showing an example of the flow of a schedule creation process in the excretion management system according to the embodiment.

The excrement management system, excrement management method, and program according to the present invention will be described in detail below with reference to the accompanying drawings. Furthermore, the present invention is not limited to the following embodiments, and the components in the following embodiments include those that a person skilled in the art would easily come up with, those that are substantially the same, and those that are within the scope of what is called equivalent. Furthermore, various omissions, substitutions, modifications, and combinations of the components can be made without departing from the spirit of the following embodiments.

Computer software refers to programs related to computer operation and other information used for computer processing that is equivalent to a program (hereinafter, computer software is referred to as software). Application software is a general term for software used to perform specific tasks. On the other hand, an operating system (OS) is software that controls a computer and allows application software and other software to use computer resources. An operating system performs basic management and control of a computer, such as input/output control, management of hardware such as memory and hard disks, and management of processes. Application software operates using the functions provided by the operating system. A program is an instruction to a computer that is combined to achieve a certain result. In addition, something equivalent to a program refers to something that cannot be called a program because it is not a direct instruction to a computer, but has properties similar to a program in that it specifies computer processing. For example, a data structure (a logical structure of data expressed by the interrelationships between data elements) corresponds to something equivalent to a program.

(Configuration of excretion management system)
Fig. 1 is a diagram showing an example of the configuration of an excretion management system according to an embodiment. The configuration of an excretion management system 1 according to the present embodiment will be described with reference to Fig. 1.

The excretion management system 1 shown in FIG. 1 is a system that records the excretion patterns of a care recipient, predicts the care recipient's excretion, and creates a guidance schedule for caregivers to assist the care recipient with excretion. As shown in FIG. 1, the excretion management system 1 has an information processing device 10, an excretion detection sensor 20, and a biosensor 30.

The information processing device 10 detects the excretion of the care recipient from detection information from the excretion detection sensor 20, generates an excretion record such as a histogram, predicts the excretion of the care recipient based on the excretion record and bio-information detected by the bio-sensor 30, and creates a guidance schedule.

The excretion detection sensor 20 is a sensor for detecting excretion by the care recipient. For example, the excretion detection sensor 20 may be a wearable or non-wearable excretion sensor that directly detects excretion by detecting odor, or a bed exit sensor that detects when the care recipient leaves the bed. In the case of an excretion sensor, it is preferable that the sensor can be attached to a non-contact part of the absorbent article that does not contact the care recipient and is disposable. As a method for detecting excretion based on the care recipient's bed exit state detected by the bed exit sensor, for example, when the bed exit sensor detects the care recipient's bed exit state for a predetermined time (for example, 1 minute or more and 5 minutes or less), it may detect the excretion as an exit for excretion.

Here, (Table 1) shows an example of a method for determining excretion according to the functional level of excretion as an ADL (Activities of Daily Living). Specifically, it shows an example of a method for determining the time of urination or defecation, the number of times of urination or defecation, the interval between urination or defecation, the longest interval between urination or defecation, and a method for determining whether urination or defecation in a toilet or portable toilet was successful or unsuccessful according to the functional level of excretion.

For example, in the excretion management system 1 according to this embodiment, it is necessary to know when the care recipient has excreted. In this case, the method of knowing the time of urination or defecation, the number of times of urination or defecation, the interval between urination or defecation, and the longest interval between urination or defecation in (Table 1) can be adopted as an example of a method for detecting that the care recipient has excreted. For example, in the case of a "person who can walk to the toilet by himself/herself", it is possible to detect that the care recipient has excreted (went to the toilet) based on the time of getting out of bed detected by a bed exit sensor serving as an excretion detection sensor 20. In addition, in the case of a "person who mostly wears diapers (occasionally uses a toilet or portable toilet)", it is possible to detect excretion using a record (excretion record) created by the caregiver's excretion care, or an excretion sensor serving as an excretion detection sensor 20 attached to a pad, diaper, bed, etc. The excretion record records, for example, the time of excretion and the time required to assist with excretion.

The biosensor 30 is a sensor that detects bioinformation of the care recipient. For example, the bioinformation detected by the biosensor 30 may be body temperature, blood pressure, heart rate, urine volume, activity level, or position information, or any combination of these. Of these, to obtain activity level and position information on the bed, a bed sensor such as a load sensor, or an infrared camera, etc., may be used as the biosensor 30. Also, to detect blood pressure or heart rate, an electrode sensor or vibration sensor, etc., placed on the bed may be used as the biosensor 30.

(Hardware configuration of information processing device)
2 is a diagram showing an example of a hardware configuration of an information processing apparatus 10 according to an embodiment of the present invention, the hardware configuration of which will be described with reference to FIG.

As shown in FIG. 2, the information processing device 10 includes a CPU (Central Processing Unit) 501, a ROM (Read Only Memory) 502, a RAM (Random Access Memory) 503, an auxiliary storage device 505, a media drive 507, a display 508 (display device), a network I/F 509 (receiving unit), a keyboard 511, a mouse 512, a DVD (Digital Versatile Disc) drive 514, and a sensor I/F 515.

The CPU 501 is a computing device that controls the overall operation of the information processing device 10. The ROM 502 is a non-volatile storage device that stores programs for the information processing device 10. The RAM 503 is a volatile storage device that is used as a work area for the CPU 501.

The auxiliary storage device 505 is, for example, a storage device such as an HDD (Hard Disk Drive) or SSD (Solid State Drive) that stores various information such as information detected by the excretion detection sensor 20 and the biosensor 30, as well as programs. The media drive 507 is a device that controls the reading and writing of data from and to a recording medium 506 such as a flash memory under the control of the CPU 501.

Display 508 is a display device configured with liquid crystal or organic EL (Electro-Luminescence) to display various information such as a cursor, menu, window, text, or image.

The network I/F 509 is an interface for communicating data with external devices such as the information processing device 10 via a network. The network I/F 509 is, for example, a NIC (Network Interface Card) that supports Ethernet (registered trademark) and is capable of communication in accordance with TCP (Transmission Control Protocol)/IP (Internet Protocol) etc.

The keyboard 511 is an input device for selecting letters, numbers, and various instructions, and for moving the cursor, etc. The mouse 512 is an input device for selecting and executing various instructions, selecting the processing target, and for moving the cursor, etc.

The DVD drive 514 is a device that controls the reading and writing of data from and to the DVD 513, such as a DVD-ROM or DVD-R (Digital Versatile Disk Recordable), which is an example of a removable storage medium.

The sensor I/F 515 is an interface for connecting various sensors such as the excretion detection sensor 20 and the biological sensor 30, and receiving detection information from the sensors.

The above-mentioned CPU 501, ROM 502, RAM 503, auxiliary storage device 505, media drive 507, display 508, network I/F 509, keyboard 511, mouse 512, DVD drive 514 and sensor I/F 515 are connected to each other so as to be able to communicate with each other via a bus 510 such as an address bus and a data bus.

Note that the hardware configuration of the information processing device 10 shown in FIG. 2 is an example, and does not need to include all of the components shown in FIG. 2, or may include other components. Furthermore, the information processing device 10 is not limited to being configured as a single information processing device as shown in FIG. 2, and may be configured as a plurality of network devices such as a plurality of information processing devices.

(Configuration and operation of functional blocks of information processing device)
Fig. 3 is a diagram showing an example of the configuration of the functional blocks of the information processing device according to the embodiment. Fig. 4 is a diagram showing an example of a histogram of the number of excretion episodes. Fig. 5 is a diagram showing a histogram and a graph of biological information in association with each other. Fig. 6 is a diagram showing an example of an induction schedule created by the information processing device according to the embodiment. The configuration and operation of the functional blocks of the information processing device 10 according to the present embodiment will be described with reference to Figs. 3 to 6.

As shown in FIG. 3, the information processing device 10 has a first detection unit 101, a second detection unit 102, a generation unit 103, a prediction unit 104, a creation unit 105, a correction unit 106, a display control unit 107, a display unit 108, a memory unit 109, and an input unit 110.

The first detection unit 101 is a functional unit that detects when the care recipient has excreted. The first detection unit 101 detects when the care recipient has excreted, for example, by acquiring detection information from the excretion detection sensor 20. The first detection unit 101 also acquires from the memory unit 109 a record of the care recipient's excretion (excretion record) that has been input by the caregiver via the input unit 110 or received as data via the network I/F 509, and detects the care recipient's excretion from the excretion record. The first detection unit 101 is realized, for example, by a program executed by the CPU 501 shown in FIG. 2.

The second detection unit 102 is a functional unit that detects the biometric information detected by the biometric sensor 30. The second detection unit 102 is realized, for example, by a program executed by the CPU 501 shown in FIG. 2.

The generating unit 103 is a functional unit that generates a histogram (an example of an excretion pattern) based on the number of excretion occurrences of the care recipient detected by the first detecting unit 101. For example, as shown in FIG. 4, the generating unit 103 generates a histogram that counts the number of excretion occurrences for each hour in a predetermined period (such as one week or one month). Note that the number of excretion occurrences in the histogram is not limited to being counted for each hour, and may be, for example, at intervals of one minute, five minutes, ten minutes, fifteen minutes, or thirty minutes. In the example histogram shown in FIG. 4, it can be seen that the care recipient, who is the subject of the histogram, tends to excrete around 9 p.m. and 2 a.m.

The generation unit 103 may generate a histogram over the entire predetermined period, or may generate a histogram using only the excretion detection data selected for each condition. Conditions may be determined by bedtime, such as when bedtime is between 8 p.m. and 9 p.m., or by daytime activity status, such as whether or not the person went out, participated in recreational activities, whether or not they took a bath, the amount of food eaten (whether they ate it all or left it), the amount of water consumed, the time of consumption, room temperature, illuminance, body temperature, blood pressure, and other conditions that may affect sleep.

The histogram generated by the generating unit 103 can also be displayed on the display unit 108 by the display control unit 107. This allows the caregiver to check the visualized histogram and recognize that the guidance schedule for assisting with excretion created by the creating unit 105 described below is a highly accurate schedule. Note that what the generating unit 103 generates is not limited to a histogram, and may be, for example, a graph showing the number of excretion events, or any information that represents the number of excretion events of the care recipient detected by the first detecting unit 101 in a chronological order.

The generation unit 103 is realized, for example, by a program executed by the CPU 501 shown in FIG. 2.

The prediction unit 104 is a functional unit that predicts the excretion behavior of the care recipient based on the histogram generated by the generation unit 103 and the biological information detected by the second detection unit 102. Specifically, the prediction unit 104 predicts the excretion behavior by extracting a unique pattern of the biological information of the care recipient before excretion by associating the biological information detected by the second detection unit 102 with the histogram generated by the generation unit 103. In addition, the prediction unit 104 acquires time series data for a predetermined period, such as one week or one month, as the biological information detected by the second detection unit 102. For example, when activity amount and position information are used as the biological information, the activity amount and position information from 10 minutes, 15 minutes, 30 minutes, 60 minutes, etc. before the excretion of the care recipient are used to generate time series data. Then, the prediction unit 104 associates the histogram corresponding to this predetermined period with the time series data of the biological information to extract a unique pattern of the biological information of the care recipient before excretion.

The graph in FIG. 5 shows the time series data of the amount of change in blood pressure (Δblood pressure) as biological information in association with the histogram generated by the generation unit 103. In FIG. 5, since the number of excretion events is concentrated around 9 p.m., for example, the prediction unit 104 extracts pattern 200, which is the waveform portion of the graph of the biological information before 9 p.m., as a characteristic pattern of the biological information. Then, the prediction unit 104 predicts, for example, what time of day each care recipient will excrete, based on the result of comparing this extracted characteristic pattern with the time series data of the biological information stored in the memory unit 109 and the number of times in the histogram associated with the time series data.

The time series data and histogram of the biological information associated by the prediction unit 104 can also be displayed on the display unit 108 by the display control unit 107 in a display format as shown in FIG. 5. This allows the caregiver to confirm the visualized time series data and histogram of the associated biological information and recognize that the guidance schedule for assisting with excretion created by the creation unit 105, which will be described later, is a highly accurate schedule.

The prediction unit 104 is realized, for example, by a program executed by the CPU 501 shown in FIG. 2.

The creation unit 105 is a functional unit that creates an excretion assistance schedule (schedule) based on the prediction result of the prediction unit 104 about the excretion of the care recipient (for example, the prediction result about what time of day excretion will occur). As a method of creating the guidance schedule, for example, if a care recipient's weekly excretion histogram shows that excretion occurred between 20:30 and 21:00 for three days and between 22:30 and 23:00 for five days out of seven days, the number of people who need excretion assistance (excretion guidance) in the schedule may be set to "1" if there is one or more days in the histogram, or the number of people may be assigned based on a probability such as 3/7 or 5/7, or a threshold may be set so that the number of people needed is "1" if there are four or more days in a week and "0" if there are three or fewer days.

The creation unit 105 also creates a guidance schedule by allocating the number of people who need excretion assistance to the caregivers who will be responsible for that day. The guidance schedule shown in FIG. 6 shows a schedule in which the number of people who need excretion assistance is allocated to two caregivers, staff members A and B, for each 30-minute time slot. The guidance schedule created by the creation unit 105 is then displayed on the display unit 108 by the display control unit 107.

In this way, by creating a guidance schedule in advance, during the time period when excretion assistance may occur, the staff member will not care for other care recipients, but will instead perform clerical work at the staff station, etc., and wait to respond to a nurse call or sensor call for excretion assistance, thereby reducing the probability of being called by a nurse call or sensor call while caring for another care recipient. This leads to a reduction in the mental burden on the caregiver and also enables optimal allocation of caregivers. In addition, not only can the work efficiency of the caregiver's excretion assistance be improved, but it is also possible to prevent dangers associated with excretion behavior, such as the care recipient falling due to excretion behavior at night. In the example shown in Figure 6, three caregivers are needed between 22:30 and 23:00, so it is possible to know that two staff members, staff A and B, are not enough, and to increase the number of staff members to handle the time period.

The creation unit 105 is realized, for example, by a program executed by the CPU 501 shown in FIG. 2.

The correction unit 106 is a functional unit that corrects the contents of the induction schedule created by the creation unit 105. For example, after the creation unit 105 creates the induction schedule, if a unique pattern extracted by the prediction unit 104 from a comparison between the time series data of the biological information detected by the second detection unit 102 and the histogram generated by the generation unit 103 differs from the unique pattern on which the induction schedule was created, the correction unit 106 corrects the induction schedule to correspond to the current unique pattern. The induction schedule corrected by the correction unit 106 is then displayed on the display unit 108 by the display control unit 107. The correction unit 106 is realized by, for example, a program executed by the CPU 501 shown in FIG. 2.

The display control unit 107 is a functional unit that controls the display operation of the display unit 108. For example, the display control unit 107 causes the display unit 108 to display the histogram generated by the generation unit 103, the time series data and histogram of the biological information associated by the prediction unit 104, the induction schedule created by the creation unit 105, and the induction schedule corrected by the correction unit 106. The display control unit 107 is realized by a program executed by the CPU 501 shown in FIG. 2, for example.

The display unit 108 is a functional unit that displays various information and screens according to the control of the display control unit 107. The display unit 108 is realized by the display 508 shown in FIG. 2.

The storage unit 109 is a functional unit that stores various information, programs, etc. The storage unit 109 stores, for example, information on the excretion of the care recipient detected by the first detection unit 101, biological information detected by the second detection unit 102, histogram information generated by the generation unit 103, time series data and histogram information of biological information associated by the prediction unit 104, information on extracted unique patterns, prediction results, a guidance schedule created by the creation unit 105, a guidance schedule corrected by the correction unit 106, and excretion records input by the input unit 110 or received by the network I/F 509. The storage unit 109 is realized by the auxiliary storage device 505 shown in FIG. 2.

The input unit 110 is a functional unit that accepts operational input from a user (such as a caregiver). For example, the caregiver inputs the excretion record of the person being cared for into the input unit 110. The input unit 110 is realized, for example, by at least one of the keyboard 511 and the mouse 512 shown in FIG. 2.

In addition, some or all of the first detection unit 101, the second detection unit 102, the generation unit 103, the prediction unit 104, the creation unit 105, the correction unit 106, and the display control unit 107 may be realized by a hardware circuit (integrated circuit) such as an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit) instead of a software program.

Furthermore, each functional unit of the information processing device 10 shown in FIG. 3 is a conceptual representation of a function, and is not limited to this configuration. For example, multiple functional units illustrated as independent functional units in the information processing device 10 shown in FIG. 3 may be configured as a single functional unit. On the other hand, the function of a single functional unit in the information processing device 10 shown in FIG. 3 may be divided into multiple functions and configured as multiple functional units.

(Schedule creation process)
7 is a flowchart showing an example of the flow of a schedule creation process in the excretion management system 1 according to the embodiment. The flow of the schedule creation process in the excretion management system 1 according to the embodiment will be described with reference to FIG.

<Step S11>
The first detection unit 101 of the information processing device 10 detects that the care recipient has excreted. The first detection unit 101 detects that the care recipient has excreted, for example, by acquiring detection information from the excretion detection sensor 20. In addition, the first detection unit 101 acquires, for example, a record of the care recipient's excretion (excretion record) input by the caregiver via the input unit 110 or received as data via the network I/F 509 from the storage unit 109, and detects the care recipient's excretion from the excretion record. Then, the process proceeds to step S12.

<Step S12>
The generating unit 103 of the information processing device 10 generates a histogram based on the number of times the care recipient has excreted, which is detected by the first detecting unit 101. The histogram generated by the generating unit 103 can be displayed on the display unit 108 by the display control unit 107. Then, the process proceeds to step S13.

<Step S13>
The second detection unit 102 of the information processing device 10 detects the biological information detected by the biological sensor 30. Then, the process proceeds to step S14.

<Step S14>
The prediction unit 104 of the information processing device 10 associates the histogram corresponding to the predetermined period generated by the generation unit 103 with the time-series data of the biological information detected by the second detection unit 102, and extracts a characteristic pattern of the biological information before excretion of the care recipient. The time-series data of the biological information and the histogram associated by the prediction unit 104 can also be displayed on the display unit 108 by the display control unit 107. Then, the process proceeds to step S15.

<Step S15>
Next, the prediction unit 104 predicts the time (timing) at which each of the care recipients will defecate based on the result of comparing the extracted unique pattern with the time series data of biological information stored in the storage unit 109 and the frequency of the histogram associated with the time series data. Then, the process proceeds to step S16.

<Step S16>
The creation unit 105 of the information processing device 10 creates a guidance schedule for assisting excretion based on the prediction result of the prediction unit 104 regarding the excretion of the care recipient (for example, the prediction result regarding what time of day the care recipient will excrete). For example, the creation unit 105 creates a guidance schedule by allocating the number of people who need excretion assistance to the caregivers who will be responsible for that day. The guidance schedule created by the creation unit 105 is displayed on the display unit 108 by the display control unit 107. Then, the process proceeds to step S17.

<Step S17>
The correction unit 106 of the information processing device 10 corrects the contents of the induction schedule created by the creation unit 105. For example, after the induction schedule is created by the creation unit 105, if a unique pattern extracted by the prediction unit 104 from a comparison between the time series data of the biological information detected by the second detection unit 102 and the histogram generated by the generation unit 103 differs from the unique pattern on which the induction schedule is created, the correction unit 106 corrects the induction schedule to correspond to the current unique pattern. The induction schedule corrected by the correction unit 106 is displayed on the display unit 108 by the display control unit 107. Then, the schedule creation process ends.

The schedule creation process by the excretion management system 1 is performed according to the flow of steps S11 to S17 described above. Note that the steps in the schedule creation process shown in FIG. 7 are not limited to the order shown in FIG. 7, and may be rearranged as long as the guidance schedule can be created by each functional unit of the information processing device 10. For example, the detection of biological information by the second detection unit 102 in step S13 may be performed at an earlier stage than the generation of the histogram by the generation unit 103 in step S12.

As described above, in the excretion management system 1 according to this embodiment, the generation unit 103 generates a histogram based on the number of excretion times of the care recipient detected by the first detection unit 101, the prediction unit 104 associates the histogram with the time series data of the biological information detected by the second detection unit 102 to extract a characteristic pattern of the biological information of the care recipient before excretion, and predicts when the care recipient will excrete based on the result of comparing the extracted characteristic pattern with the time series data of the biological information stored in the storage unit 109 and the number of histograms associated with the time series data, the creation unit 105 creates a guidance schedule for assisting excretion based on the prediction result by the prediction unit 104, and the display control unit 107 displays at least the histogram generated by the generation unit 103 on the display unit 108. In this way, by visualizing the excretion pattern such as a histogram, a care schedule that can be recognized as highly accurate by the caregiver can be created.

In addition, in the excretion management system 1, the correction unit 106 corrects the guidance schedule created by the creation unit 105 based on at least the biological information detected by the second detection unit 102 after the guidance schedule is created. This makes it possible to reschedule the optimal placement of caregivers in real time.

The functions of the above-mentioned embodiments can be realized by one or more processing circuits. Here, the term "processing circuit" includes a processor programmed to execute each function by software, such as a processor implemented by an electronic circuit, and devices such as an ASIC (Application Specific Integrated Circuit), DSP (Digital Signal Processor), FPGA (Field-Programmable Gate Array), SoC (System on a Chip), GPU (Graphics Processing Unit), and conventional circuit modules designed to execute each of the above-mentioned functions.

In the above-described embodiment, when at least one of the functional units of the excretion management system 1 is realized by the execution of a program, the program is provided by being pre-installed in a ROM or the like. The program executed by the excretion management system 1 according to the above-described embodiment may be provided by being recorded in a computer-readable recording medium such as a CD-ROM (Compact Disc Read Only Memory), a flexible disk (FD), a CD-R (Compact Disk-Recordable), a DVD, or a Secure Digital (SD) card in an installable or executable format. The program executed by the excretion management system 1 according to the above-described embodiment may be provided by being stored on a computer connected to a network such as the Internet and downloaded via the network. The program executed by the excretion management system 1 according to the above-described embodiment may be provided or distributed via a network such as the Internet. In addition, the program executed by the excretion management system 1 according to the above embodiment has a modular configuration that includes at least one of the functional units described above, and in terms of actual hardware, the CPU reads the program from the above storage device and executes it, causing each of the above functional units to be loaded and generated on the main storage device.

REFERENCE SIGNS LIST 1 Excretion management system 10 Information processing device 20 Excretion detection sensor 30 Biometric sensor 101 First detection unit 102 Second detection unit 103 Generation unit 104 Prediction unit 105 Creation unit 106 Correction unit 107 Display control unit 108 Display unit 109 Storage unit 110 Input unit 200 Pattern 501 CPU
502 ROM
503 RAM
505 Auxiliary storage device 506 Recording media 507 Media drive 508 Display 509 Network I/F
510 Bus 511 Keyboard 512 Mouse 513 DVD
514 DVD drive 515 Sensor I/F

Patent No. 6211891 International Publication No. 2017/061282

Claims (9)

A first detection unit that detects excretion of a care recipient;
A second detection unit that detects biological information of the care recipient;
a generation unit that generates a histogram of the number of excretion events as an excretion pattern of the care recipient based on the number of excretion events detected by the first detection unit;
a prediction unit which associates the histogram of the number of excretion events with the time series data of the biological information detected by the second detection unit, extracts a characteristic pattern of the biological information of the care recipient before an excretion occurs, and predicts a timing of an excretion event of the care recipient based on a comparison result between the extracted characteristic pattern and the time series data of the biological information and the number of excretion events of the histogram associated with the time series data;
a creation unit that creates a schedule for assisting the care recipient with excretion based on a result of the prediction by the prediction unit;
a display control unit that displays at least the excretion pattern generated by the generation unit on a display device;
An excretion management system equipped with a correction unit that corrects the schedule after the schedule is created by the creation unit,
The excretion management system of claim 1, wherein the correction unit corrects the schedule to correspond to the current characteristic pattern when, after the schedule is created by the creation unit, the current characteristic pattern extracted by the prediction unit based on a comparison between the time series data of the biological information detected by the second detection unit and the histogram of the number of excretion events differs from the previous characteristic pattern extracted by the prediction unit. The excretion management system according to claim 1 or 2, wherein the display control unit causes the display device to display the time series data of the excretion pattern and the biological information associated by the prediction unit. The excrement management system according to any one of claims 1 to 3, wherein the first detection unit detects the excrement of the care recipient when a bed exit sensor that detects that the care recipient has left the bed detects the care recipient's state of leaving the bed for a predetermined period of time. The excretion management system according to any one of claims 1 to 3, wherein the first detection unit detects the excretion of the care recipient based on information detected by an excretion sensor that directly detects at least the excretion state of the care recipient. A receiving unit that receives a record of the excretion of the care recipient is further provided.
4. The excretion management system according to claim 1, wherein the first detection unit detects excretion of the care recipient at least from the record received by the receiving unit. An input unit that receives an input of a record of the excretion of the care recipient,
4. The excretion management system according to claim 1, wherein the first detection unit detects excretion of the care recipient at least from the record inputted by the input unit. 1. A computer-implemented information processing method, comprising:
A first detection step of detecting excretion of a care recipient;
A second detection step of detecting biological information of the care recipient;
a generation step of generating a histogram of the number of excretion events as an excretion pattern of the care recipient based on the detected number of excretion events;
a prediction step of extracting a characteristic pattern of the biological information of the care recipient before the excretion of the care recipient by correlating a histogram of the number of excretion times as the excretion pattern with the time series data of the biological information detected in the second detection step, and predicting the timing of the excretion of the care recipient based on a comparison result between the extracted characteristic pattern and the time series data of the biological information and the number of excretion times of the histogram associated with the time series data;
A creating step of creating a schedule for assisting the care recipient with excretion based on the result of the timing prediction;
a display control step of displaying at least the generated excretion pattern on a display device;
An information processing method comprising: On the computer,
A first detection step of detecting excretion of a care recipient;
A second detection step of detecting biological information of the care recipient;
a generation step of generating a histogram of the number of excretion events as an excretion pattern of the care recipient based on the detected number of excretion events;
a prediction step of extracting a characteristic pattern of the biological information of the care recipient before the excretion of the care recipient by correlating a histogram of the number of excretion times as the excretion pattern with the time series data of the biological information detected in the second detection step, and predicting the timing of the excretion of the care recipient based on a comparison result between the extracted characteristic pattern and the time series data of the biological information and the number of excretion times of the histogram associated with the time series data;
A creating step of creating a schedule for assisting the care recipient with excretion based on the result of the timing prediction;
a display control step of displaying at least the generated excretion pattern on a display device;
A program for executing.

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