JP7285886B2 - HEALTH PROMOTION PROGRAM PROVISION SYSTEM AND HEALTH PROMOTION PROGRAM PROVISION METHOD - Google Patents

Description

The present invention relates to a health promotion program providing system and a health promotion program providing method for providing a health promotion program according to the health condition of a resident of a house.

In recent years, smart houses have attracted attention. A smart house generally refers to a house that uses IT (information technology) to control equipment that uses electricity and gas, such as lighting equipment, cooking equipment, and air conditioning equipment, to optimally control energy consumption.

For example, Patent Document 1 (Japanese Patent Application Laid-Open No. 2013-15271) describes an environment control system that uses a simple system to control the indoor environment according to the comfort of each person in the room without increasing the cost of time and energy. Disclosed is an indoor environment control system including an information detection unit, a room occupancy information detection unit, a control unit, and an operation unit. In such an indoor environment control system, the storage means of the control unit is provided in advance with a database that records the relationship between the information of people in the room and the comfort of the people in the room, and the calculation means of the control unit is the person information detection unit. Based on the detected occupant information, an adjustment signal is generated for controlling the fluctuation of the operation unit using the occupant information as a fluctuation index so that the comfort of the occupants in the database is optimized.

In addition, Patent Document 2 (Patent No. 6539799) is installed in a residence to accurately determine an abnormality of a resident and to respond more safely, more reliably, and promptly when an abnormality occurs. , a first sensor that detects at least the resident's heart rate and respiration rate without contact, an abnormality determination unit that detects a significant difference from normal in the heart rate and respiration rate, and safety confirmation between the operator and the resident. an arrival information presenting unit for presenting the arrival of ambulance personnel to the residence in response to the operator's dispatch request to the operator; a remote unlocking unit for urgently unlocking the residence according to the operator's instructions; Disclose a safety confirmation system comprising

JP 2013-15271 A Japanese Patent No. 6539799

The indoor environment control system of Patent Document 1 is limited to environmental control, and the safety confirmation system of Patent Document 2 is limited to safety confirmation. In addition, wearable sensors are used to acquire biometric data, but they are troublesome to put on and take off.

Therefore, the present invention provides a health promotion program providing system and a health promotion program providing method that can effectively utilize biometric data obtained in a resident's daily life to maintain and improve the health of the resident. With the goal.

In order to solve the above-mentioned problems, the present invention
a sensor installed in a house that continuously collects biometric data of a resident of the house;
an analysis device that analyzes the collected biological data and determines the health condition of the resident;
a program generation device that generates a health promotion program according to the resident based on the determination result of the health condition;
To provide a health promotion program providing system characterized by comprising:
Here, it is assumed that the biometric data includes dynamic data. In addition, the health promotion program shall include various programs and various health information for maintaining and improving the physical and mental health of the residents, in addition to the exercise program.

In the health advice providing apparatus of the present invention, the sensor provides the biological data such as facial expression, heart rate, oxygen saturation, carbon dioxide exhalation, surface body temperature, core body temperature, skin protein analysis, body composition, autonomic nerves, HbA1c, body It is preferable to collect at least one type of data out of data indicating water content, foot pressure distribution, walking posture, walking speed, change in joint range of motion, change in center of gravity, and amount of activity.

In addition, in the health advice providing device of the present invention,
The analysis device
Human facial expression, heart rate, oxygen saturation, carbon dioxide emission, surface body temperature, core body temperature, skin protein analysis, body composition, autonomic nervous system, HbA1c, body water content, foot pressure distribution, walking posture, walking speed, joint range of motion A person's biometric data including at least one type of data showing changes, center of gravity fluctuations, and activity amount, and the person's health condition including the person's energy consumption and exercise effect are used as teacher data, and input is performed. a model generation unit that generates a prediction model using a person's biometric data and outputting a health condition of the person by machine learning;
a determining unit that outputs the health condition of the resident from the collected biometric data of the resident using the predictive model;
is preferred.

In addition, in the health advice providing device of the present invention,
The program generation unit
extracting the biological characteristics of the resident by comparing the collected biological data with a predetermined evaluation index;
Using a predetermined evaluation index and an evaluation value indicating the effect of the health promotion program as teacher data, generating an evaluation model using biometric data as input and an evaluation of the health promotion program as output by machine learning,
It is preferable to output a health promotion program to be presented to the resident together with the biological characteristics of the resident from the collected biological data using the evaluation model.

In addition, the present invention
a procedure for continuously collecting biometric data of a resident of said residence at a sensor installed within said residence;
analyzing the collected biometric data to determine the health status of the resident;
a step of generating a health promotion program according to the resident based on the determination result of the health condition;
Also provided is a method for providing a health promotion program comprising:

ADVANTAGE OF THE INVENTION According to this invention, biometric data obtained in a resident's daily life can be effectively utilized for a resident's health maintenance and promotion.

It is a schematic diagram which shows the whole image of this embodiment. 1 is a block diagram showing the overall configuration of a health promotion program providing system 1; FIG. 4 is a flow chart showing a processing procedure of the health promotion program providing system 1. FIG.

Hereinafter, representative embodiments of a health promotion program providing system according to the present invention will be described in detail with reference to the drawings. However, the present invention is not limited to these drawings. Moreover, since the drawings are for conceptually explaining the present invention, the dimensions, ratios, or numbers may be exaggerated or simplified as necessary for easy understanding.

1. Overall Image of the Present Embodiment With reference to FIG. 1, the overall image of the present embodiment will be described.

In this embodiment, biometric data of a resident who spends his/her daily life in a house is sensed by sensors arranged in various places in the house. Here, the biometric data includes, for example, dynamic data such as walking posture, walking speed, change in joint range of motion, change in center of gravity, and amount of activity. Also, a house means a building in which a person lives on a daily basis, and includes so-called nursing homes as well as single-family houses and collective housing.

Then, the health condition of the resident is determined by computer analysis of the obtained biometric data. A customized health promotion program is then created for each resident based on the determined health status. Here, the created health promotion program includes, in addition to the exercise program, various programs and various health information for maintaining and improving the mental and physical health of the residents.
Such wellness programs are provided to and administered by residents.

By repeating the above-described sensing, determination of health condition, creation of a health promotion program, and execution by the resident, the health function of the resident is improved.
In addition, the collected biometric data may be aggregated in a data server or the like and used by medical personnel such as doctors with the consent of the residents. Also, the generated determination result of the health condition may be used by medical personnel such as a doctor with the consent of the resident.

Furthermore, with the consent of residents, the collected biometric data and the generated judgment results of health conditions will be used for the formation of a more comfortable and livable community, for the health management of residents, and for the elderly. It may be used by governments and communities to enable them to continue to live independently in their own homes.

The health promotion program providing system 1 according to the present embodiment has a sensing function that collects biological data from residents in the residence, an analysis / determination function that determines the health condition of the resident by analyzing the collected biological data, It also has functional units for realizing a program generation function for generating a health promotion program based on the determination result of the health condition.

As a physical configuration for realizing such functions, the health promotion program providing system 1 includes a sensor 10, an analysis device 20, a program generation device 30, an output device 40, and a storage device 50 (see FIG. 2). Each of these components is communicatively connected via a wired or wireless communication network.
These components are described in detail below.

2. The sensor sensor 10 is a general term for various sensors that are installed in the house 70 and continuously collect biometric data of the resident H. FIG. The sensor 10 transmits and stores the collected biometric data in the storage device 50 together with the date and time of collection. The storage device 50 may be a data server, but is not limited to this. Note that the sensor 10 may transmit and store the collected biometric data in a storage (not shown) inside the house 70 .

Examples of sensors 10 that may be used include, but are not limited to, infrared thermal cameras, hyperspectral imaging cameras, RFID sensors, pressure sensors, motion capture devices (none shown), and the like.

More specifically, the infrared temperature camera is installed, for example, in the living room, the study, the bedroom, etc. of the house 70, and measures the facial expression, heartbeat, oxygen saturation, carbon dioxide exhaled amount, surface temperature, and deep body temperature of the resident H. measure. The hyperspectral imaging camera is installed, for example, at the entrance and its vicinity, and in combination with the personal authentication function of resident H, skin protein analysis of resident H, body composition (composition ratio of fat, bone, lean soft tissue, etc., weight , body fat, basal metabolism, visceral fat, muscle mass, bone mass, etc.) and autonomic nerves (autonomic nerve fatigue level, sympathetic nerve, parasympathetic nerve balance, etc.). Alternatively, a hyperspectral imaging camera is installed near the dining table or kitchen to measure HbA1c (glycosylated hemoglobin). The RFID sensor is installed on an indoor wall surface or the like, and measures the amount of water in the resident H's body. The pressure sensor is installed, for example, on the floor of a corridor or the floor of a room, and measures the foot pressure distribution of the resident H. The motion capture device is installed, for example, in an indoor corridor or the like, and measures the resident H's walking posture, walking speed, change in joint range of motion, change in center of gravity, amount of activity, and the like.

Sensing of the biometric data of the resident H by the sensor 10 is performed by constant measurement, for example.
The sensor 10 is preferably hidden and installed so that the resident H cannot find it immediately. This is to prevent the resident H from noticing the presence of the sensor 10 and getting nervous, and the sensed biological data deviating from the resident H's daily values. That is, it is for knowing the resident H in a natural state in daily life.

Apart from the sensor 10, sensors for obtaining environmental data may be installed. That is, a thermometer to measure the room temperature, a hygrometer to measure the humidity in the room, an illuminometer to measure the brightness of the room, a carbon dioxide measuring instrument to measure the _CO2 concentration in the room, etc. may be installed. Environmental data collected at these sensors is transmitted and stored in storage device 50 . Note that the sensor 10 may include these sensing functions.

The collected biometric data and environmental data are transmitted to and stored in the storage device 50 . The storage device 50 may store the health condition determination result and the generated health promotion program, which will be described later. Various data stored in the storage device 50 may be made available, with the permission of the resident H, in the external computer 80 used by the doctor in charge of the resident H and the medical institution. Through such medical cooperation, various health records necessary for diagnosis and treatment of resident H can be shared among medical personnel in a timely manner.

3. Analysis Device The analysis device 20 determines the health condition of the resident H by analyzing the biological data collected by the sensor 10 .

AI analysis can be preferably used for data analysis in the analysis device 20 . For example, the analysis device 20 analyzes human facial expression, heart rate, oxygen saturation, carbon dioxide output, surface body temperature, deep body temperature, skin protein analysis, body composition, autonomic nerves, HbA1c, body water content, foot pressure distribution, walking posture , walking speed, change in joint range of motion, variation in center of gravity, amount of activity, etc., at least one kind of data is used as a teacher variable (teacher data) as an existing index. Then, the analysis device 20 performs machine learning using biological data of the same type as the data group collected by the sensor 10 as an explanatory variable, and creates an analysis program. Information, facial expression, heart rate, oxygen saturation, carbon dioxide emission, surface body temperature, core body temperature, skin protein analysis, body composition, autonomic nerves, HbA1c, body water content, biological information such as foot pressure distribution, joint angle during walking , and its changes over time, lower limb muscle strength, center of gravity, or three-dimensional movement distance of observation points correlated with it, walking posture, walking speed, and activity level. Objective evaluations such as health function and motor function are obtained. Deep learning is an example of machine learning that can be used in this embodiment, but it is not limited to this.

The analysis result 20 is transmitted and stored in the storage device 50 as a determination result of the resident H's health condition. Needless to say, such judgment results can be effectively used among medical personnel under the consent of the resident H. In addition, by outputting the determination result of the health condition of the resident H to the output device 40, which will be described later, the resident H and his family can detect the illness or poor physical condition of the resident H at an early stage. It can be utilized for the health management of the person H.

4. Program Generation Device The program generation device 30 generates a health promotion program customized for each resident H based on the health condition determination result obtained by the analysis device 20 . Here, health promotion programs are broadly divided into those related to health functions and those related to exercise functions.

For example, with regard to health functions, the program generation device 30 generates facial expressions, heartbeats, oxygen saturation, carbon dioxide output, surface body temperature, core body temperature, skin protein analysis, body composition, autonomic nerves, HbA1c, body water content, foot pressure, Regarding the distribution, by comparing the normal range for each individual with evaluation indices such as epidemiology and medical guidelines, the biological characteristics of resident H will be clarified, and the measured data and basic information such as age, sex, height, and weight. Then, by AI-analyzing the living environment data (for example, biometric data collected by the sensor 10) of the resident H, an algorithm related to the lifestyle of each individual is constructed, and behavioral changes and accompanying effects are presented.

As for motor function, the program generation device 30 compares the positions and velocities of each joint, joint angles, and angular velocities to clarify the characteristics of the dynamic analysis of the resident H, and based on the measured data, In addition to estimating the energy consumption and exercise effect during exercise, we build a motion measurement algorithm and present recommended exercise and the energy consumption and exercise effect during exercise. Examples of AI analytics that can be used here include, but are not limited to, deep learning.

The program generation device 30 transmits and stores the generated health promotion program in the storage device 50 . It goes without saying that such a program can be shared among medical personnel under resident H's permission. In addition, by outputting the program to the output device 40, the resident H and his family can clearly grasp what to do to maintain, recover and improve the health function and motor function of the resident H. can be used for health management of the resident H.

Note that the analysis device 20 and the program generation device 30 can be configured as one or more computers including a CPU, a RAM and a ROM. The functions of the analysis device 20 and the program generation device 30 described above are realized by reading the execution program stored in the ROM into the RAM and executing it by the CPU. The analysis device 20 and the program generation device 30 use the continuously collected biological data to determine the state of health and generate a health promotion program periodically or at the timing considered necessary for each individual.

The output device 40 is a device that outputs the determination result of the health condition and the health promotion program. The output device 40 includes a terminal (smartphone, personal computer, etc.) of the resident H, a display, a printer, a projector, a speaker, and the like. Note that the output device 40 may display other information related to life, such as information related to energy and housing, and area information.

5. Operation of the Health Promotion Program Providing System A processing procedure in the health promotion program providing system 1 will be described with reference to FIG.

First, in step S1, the sensor 10 senses the biometric data of the resident H, and stores it in the storage device 50 in association with the sensing time. Sensing is continuously performed at predetermined time intervals.

Then, in step S<b>2 , the analysis device 20 analyzes the collected biological data, determines the health condition of the resident H, and stores the determination result in the storage device 50 . For example, the analysis device 20 generates a learned model in advance by machine learning, and obtains the health condition of the resident H by applying biometric data of the resident H to the learned model. Step S2 is executed periodically or at timing considered necessary for each individual.

When the health condition determination result is generated in the analysis device 20, in step S3, the program generation device 30 generates a health promotion program for each resident H based on the health condition determination result, and stores the program in the storage device. Store in 50.

The determination result of the state of health and the health promotion program are displayed on the output device 40 . As a result, the resident H can grasp his own health condition (for example, health function and exercise function) and clearly grasp what he should do to maintain, recover, and improve his own health function and exercise function. can be done. The resident H can practice the presented health promotion program and utilize it for his own health management.

Then, return to sensing and repeat the above procedure. As a result, the resident H can effectively utilize biometric data obtained in daily life to improve the health function of the resident H. In addition, the resident H can grasp the effect of practicing the health promotion program through the determination result of the health condition after the next time.

The sensing data, health condition determination results, and health promotion program accumulated in this way are stored in the storage device 50, and are shared among medical personnel related to the resident H under the permission of the resident H. be. As a result, it is expected that diagnosis and treatment by doctors will be performed more appropriately and promptly. Such an effect can be expected not only during face-to-face medical care but also in telemedicine situations, and more substantial medical cooperation can be realized.

Further, by sharing the above-described health information of the resident H among caregivers, it is expected that more appropriate and prompt caregiving support will be provided.

Of course, it is also possible to use the sensing data and the determination result of the health condition as a monitoring system for the resident H or an anomaly detection system.
In addition, with the consent of residents, the collected biometric data and health status assessment results will be used by the government and the local community, and will be reflected in policies for the formation of a more comfortable and livable community. can

Since the sensor 10 is installed in the house 70, there is no troublesome attachment and detachment unlike a wearable sensor. Furthermore, since the sensor 10 is hidden from the eyes of the resident H, the resident H is not aware of the existence of the sensor 10 . Therefore, daily biometric data of the resident H can be acquired, and the health condition can be grasped with high reliability.

Although representative embodiments of the present invention have been described above, the present invention is not limited to these, and various design changes are possible and included in the present invention.

1 Health Promotion Program Providing System 10 Sensor 20 Analysis Device 30 Program Generation Device 40 Output Device 50 Storage Device H Resident

Claims (1)

a sensor installed in a house that continuously collects biometric data of a resident of the house;
an analysis device that analyzes the collected biological data and determines the health condition of the resident;
a program generation device that generates a health promotion program according to the resident based on the determination result of the health condition ,
Facial expression, heart rate, oxygen saturation, carbon dioxide output, surface body temperature, deep body temperature, skin protein analysis, body composition, autonomic nerves, HbA1c, body water content, foot pressure distribution, walking posture , Collecting at least one type of data out of data showing walking speed, joint range of motion change, center of gravity variation and activity amount,
The analysis device
Human facial expression, heart rate, oxygen saturation, carbon dioxide emission, surface body temperature, core body temperature, skin protein analysis, body composition, autonomic nervous system, HbA1c, body water content, foot pressure distribution, walking posture, walking speed, joint range of motion A person's biometric data including at least one type of data showing changes, center of gravity fluctuations, and activity amount, and the person's health condition including the person's energy consumption and exercise effect are used as teacher data, and input is performed. Using machine learning to generate a predictive model that uses a person's biometric data and outputs the person's health condition,
using the predictive model to output the health status of the resident from the collected biometric data of the resident;
The program generation device
extracting the biological characteristics of the resident by comparing the determined health condition and the collected biological data with a predetermined evaluation index;
Using a predetermined evaluation index and an evaluation value indicating the effect of the health promotion program as teacher data, generating an evaluation model using biometric data as input and an evaluation of the health promotion program as output by machine learning,
Outputting a health promotion program to be presented to the resident together with the biological characteristics of the resident from the collected biological data using the evaluation model;
A health promotion program providing system characterized by:

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