阅读说明：本技术 健康管理系统 (Health management system ) 是由 中村浩藏 于 2019-10-14 设计创作，主要内容包括：本发明能够通过考虑个体差异来管理健康。本发明的健康管理系统具备：生命数据获取部,其获取用户的生命数据；饮食成分获取部,其获取用户摄取的饮食成分；解析处理部,其解析饮食成分的摄取量与生命数据的改善或恶化的关系；以及饮食成分输出部,其输出改善生命数据的饮食成分和使生命数据恶化的饮食成分。(The present invention can manage health by considering individual differences. The health management system of the present invention comprises: a vital data acquisition unit that acquires vital data of a user; a food component acquisition unit that acquires food components ingested by a user; an analysis processing unit that analyzes the relationship between the intake amount of the dietary component and the improvement or deterioration of the vital data; and a diet component output unit that outputs diet components for improving the life data and diet components for deteriorating the life data.)

1. A health management system is characterized by comprising:

a vital data acquisition unit that acquires vital data of a user;

a dietary component acquisition unit that acquires a dietary component;

an analysis processing unit that analyzes a relationship between the intake amount of the dietary component and the improvement or deterioration of the vital data; and

and a dietary component output unit that outputs the dietary component that improves the vital data and the dietary component that deteriorates the vital data.

2. The health management system of claim 1,

the analysis processing unit estimates, by multivariate analysis, a coefficient of the explanatory variable in a statistical model in which a measurement value of the vital data is a target variable and an intake amount of the dietary component is an explanatory variable.

3. The health management system according to claim 2, further comprising:

a target value input unit that receives an input of a target value of the vital data; and

and an intake amount determination unit that determines the intake amount of the dietary component so that the vital data becomes the target value.

4. The health management system according to claim 3, further comprising:

a standard value storage section that stores a standard value of the intake amount,

the intake amount determination unit determines the intake amount so that a deviation value from the standard value falls within a predetermined range.

5. The health management system according to any one of claims 1 to 4,

the intake amount determination unit determines the intake amount of the dietary component for the plurality of users such that the vital data is closest to the target value.

6. The health management system according to any one of claims 1 to 5, further comprising:

a recipe information storage unit that stores recipe information; and

and a recipe creating unit that determines a recipe including the determined intake amount of the dietary component by referring to the recipe information.

7. The health management system according to any one of claims 1 to 6, further comprising:

and an auxiliary food suggesting unit that suggests an auxiliary food containing the dietary component for improving the vital data, when the user does not ingest the dietary component.

8. The health management system according to any one of claims 1 to 7, further comprising:

a recipe information acquisition unit that acquires recipe information input by the user,

the dietary component acquisition unit specifies and acquires the dietary component from the recipe information.

9. The health management system of claim 8,

the recipe information includes at least food material information and component information.

10. The health management system according to any one of claims 1 to 9,

the vital data is the measurement result of the sphygmomanometer.

11. The health management system according to any one of claims 1 to 10, further comprising:

a lifestyle-related information input unit that receives input of lifestyle-related information indicating a lifestyle of the user,

the analysis processing unit analyzes the relationship between the lifestyle habits and the intake amount of the dietary component and the improvement or deterioration of the vital data.

Technical Field

The present invention relates to a health management system.

Background

Such suggestions have been made to improve dietary life habits. For example, patent document 1 discloses a system that analyzes diet information and life data to provide advice.

Documents of the prior art

Patent document

Patent document 1: japanese patent laid-open publication No. 2004-302498

Disclosure of Invention

Problems to be solved by the invention

However, in the system described in patent document 1, it is necessary to prepare suggestions as a database in advance, and thus it is difficult to consider individual differences.

The present invention has been made in view of such a background, and an object thereof is to provide a technique capable of managing health by taking individual differences into consideration.

Means for solving the problems

The main invention of the present invention for solving the above problems is a health management system including: a vital data acquisition unit that acquires vital data of a user; a food component acquisition unit that acquires food components ingested by the user; an analysis processing unit that analyzes a relationship between the intake amount of the dietary component and the improvement or deterioration of the vital data; and a dietary component output unit that outputs the dietary component that improves the vital data and the dietary component that deteriorates the vital data.

The problems disclosed in the present application and the solution thereof will be more apparent from the description of the embodiments and drawings.

ADVANTAGEOUS EFFECTS OF INVENTION

According to the present invention, health can be managed by taking individual differences into consideration.

Drawings

Fig. 1 is a diagram showing an example of the overall configuration of a health management system according to an embodiment of the present invention.

Fig. 2 is a diagram showing an example of the hardware configuration of the user terminal 1.

Fig. 3 is a diagram showing an example of the software configuration of the user terminal 1.

Fig. 4 is a diagram showing an example of the hardware configuration of the recommendation device 2.

Fig. 5 is a diagram showing an example of the software configuration of the recommendation device 2 according to the first embodiment.

Fig. 6 is a diagram showing a configuration example of the vital data storage unit 231.

Fig. 7 is a diagram showing a configuration example of the dietary component storage unit 232.

Fig. 8 is a diagram showing a process performed in the health management system of the first embodiment.

Fig. 9 is a diagram showing an example of the diet information displayed by the user terminal 1.

Fig. 10 is a diagram showing an example of the software configuration of the recommendation device 2 according to the second embodiment.

Fig. 11 is a diagram showing a configuration example of the dietary intake criterion storage unit 234.

Fig. 12 is a diagram showing a process performed in the health management system of the second embodiment.

Fig. 13 is a diagram showing an example of diet information displayed by the user terminal 1 in the second embodiment.

Fig. 14 is a graph illustrating the intake target amount.

Fig. 15 is a diagram showing an example of the software configuration of the recommendation device 2 according to the third embodiment.

Fig. 16 is a diagram showing a configuration example of the functional food information storage unit 235.

Fig. 17 is a diagram showing a process performed in the health management system of the third embodiment.

Fig. 18 is a diagram showing an example of diet information displayed on the user terminal 1 in the third embodiment.

Figure 19 is a schematic of the personal optimization of the diet of the present invention.

Fig. 20 is a graph for calculating the personal optimal diet of the subject 5 shown in fig. 19.

FIG. 21 is a schematic illustration of the steps of the present invention for achieving an extension of healthy life.

FIG. 22 is another schematic illustration of the steps of the present invention for achieving an extension of healthy life.

Fig. 23 is an overall view showing a flow of determining an optimal diet according to the present invention.

Fig. 24 is a diagram showing details of the flow of fig. 23.

Fig. 25 is another diagram showing details of the flow of fig. 23.

Fig. 26 is still another diagram showing details of the flow of fig. 23.

Fig. 27 is an overall view showing a flow of generating a recipe based on a difference between the reference diet information and the optimal diet information according to the present invention.

Fig. 28 is an overall view showing a flow of generating a recipe from only the optimal diet information according to the present invention.

Detailed Description

The contents of the embodiments of the present invention are listed for explanation. The health management system according to the embodiment of the present invention has the following configuration.

[ item 1]

A health management system is characterized by comprising: a vital data acquisition unit that acquires vital data of a user; a food component acquisition unit that acquires food components ingested by the user; an analysis processing unit that analyzes a relationship between the intake amount of the dietary component and the improvement or deterioration of the vital data; and a dietary component output unit that outputs the dietary component that improves the vital data and the dietary component that deteriorates the vital data.

[ item 2]

The health management system according to item 1, wherein the analysis processing unit estimates a coefficient of the explanatory variable in a statistical model in which a measurement value of the vital data is a target variable and an intake amount of the dietary component is an explanatory variable by multivariate analysis.

[ item 3]

The health management system according to item 2, further comprising: a target value input unit that receives an input of a target value of the vital data; and an intake amount determination unit that determines the intake amount of the dietary component so that the vital data becomes the target value.

[ item 4]

The health management system according to item 3, further comprising: and a standard value storage unit that stores a standard value of the intake amount, wherein the intake amount determination unit determines the intake amount so that a deviation from the standard value falls within a predetermined range.

[ item 5]

The health management system according to any one of items 1 to 4, wherein the intake amount determination unit determines the intake amount of the dietary component so that the vital data is closest to the target value for a plurality of the users.

[ item 6]

The health management system according to any one of items 1 to 5, further comprising: a recipe information storage unit that stores recipe information; and a recipe creating unit that determines a recipe including the determined intake amount of the dietary component by referring to the recipe information.

[ item 7]

The health management system according to any one of items 1 to 5, further comprising: and an auxiliary food suggesting unit that suggests an auxiliary food containing the dietary component for improving the vital data, when the user does not ingest the dietary component.

[ item 8]

The health management system according to any one of items 1 to 6, further comprising: and a recipe information acquisition unit that acquires recipe information input by the user, wherein the diet component acquisition unit specifies and acquires the diet component from the recipe information.

[ item 9]

The health management system of item 7, wherein the recipe information includes at least food material information and component information.

[ item 10]

The health management system according to any one of items 1 to 8, wherein the vital data is a measurement result of a blood pressure meter.

[ item 11]

The health management system according to any one of items 1 to 9, further comprising: and a lifestyle habit information input unit that receives input of lifestyle habit information indicating a lifestyle habit of the user, wherein the analysis processing unit analyzes a relationship between the lifestyle habit and the intake amount of the dietary component and improvement or deterioration of the life data.

< first embodiment >

Fig. 1 is a diagram showing an example of the overall configuration of a health management system according to an embodiment of the present invention. As shown in the figure, the health management system according to the first embodiment includes a user terminal 1 and an advice device 2. The user terminal 1 and the recommendation device 2 are communicably connected via a communication network 3. The communication network 3 is, for example, the internet, and is constructed by an ethernet (registered trademark), a public telephone line network, a private telephone line network, a mobile telephone line network, a wireless communication channel, and the like.

The user terminal 1 is a computer operated by a user who is a health management target. The user terminal 1 is, for example, a smartphone, a tablet computer, a personal computer, or the like. The user terminal 1 is communicably connected with the life sensor 4. The user terminal 1 and the life sensor 4 communicate with each other by, for example, Bluetooth (registered trademark) Low Energy (BLE), serial communication, or the like. In the present embodiment, the life sensor 4 is assumed to be a sphygmomanometer.

The recommendation device 2 is a computer that provides the user with diet-related information. The recommendation device 2 is, for example, a personal computer, a workstation, or the like. The recommendation device 2 can also be configured as a virtual computer based on cloud computing.

The health management system of the present embodiment is intended to make diet-related advice based on dietary components such as nutrients ingested by a user and life data of the user. In the first embodiment, a stable or rising dietary component that affects vital data, particularly systolic blood pressure, can be identified and output as a reference when a dietary recipe is studied. The vital data of the present embodiment may include height, weight, BMI, body fat rate, muscle mass, bone density, blood pressure, pulse wave, body temperature, electrocardiogram, blood oxygen concentration, respiration rate, etc., but is not limited thereto.

Fig. 2 is a diagram showing an example of the hardware configuration of the user terminal 1. The user terminal 1 includes a CPU101, a memory 102, a storage device 103, a communication interface 104, a touch panel display 105, and a camera 106. The storage device 103 stores various data and programs, such as a hard disk drive, a solid state drive, and a flash memory. The communication interface 104 is an interface for connecting to the communication network 3, and is, for example, an adapter for connecting to an ethernet (registered trademark), a modem for connecting to a public telephone line network, a wireless communication device for performing wireless communication, a usb (universal Serial bus) connector for Serial communication, an RS232C connector, or the like. Touch panel display 105 is a device that inputs and outputs data. The camera 106 generates image data of a photographic subject.

Fig. 3 is a diagram showing an example of the software configuration of the user terminal 1. The user terminal 1 includes a vital data acquisition unit 111, a diet image capturing unit 112, a diet component acquisition unit 113, a user data transmission unit 114, a diet information receiving unit 115, a diet information display unit 116, a vital data storage unit 131, and a diet component storage unit 132.

The vital data acquisition unit 111 acquires vital data from the vital sensor 4. In the present embodiment, the vital sensor 4 is assumed to be a sphygmomanometer, and the vital data acquisition unit 111 acquires systolic blood pressure and diastolic blood pressure. Further, a plurality of vital sensors 4 may be prepared to acquire a plurality of vital data. The vital data acquisition unit 111 registers the acquired vital data in the vital data storage unit 131. The vital data storage unit 131 can store the vital data in association with the date and time when the vital sensor 4 measured the vital data (or the date and time when the vital data acquisition unit 111 received the vital data from the vital sensor 4), information identifying the user (hereinafter referred to as a user ID), and information identifying the type of the vital data (hereinafter referred to as a vital data ID).

The diet image capturing unit 112 captures an image of a diet (hereinafter, referred to as a diet image) to be captured by the user. The diet image capturing unit 112 may acquire a diet image by activating the camera 106 by a user operation.

The dietary component acquisition unit 113 acquires the amount of dietary components such as nutrients and energy ingested by the user based on the dietary image. The food component acquisition unit 113 can transmit a food image to an external specialist such as a dietician, and allow the external specialist to input food components and their contents and receive them from the external specialist. The dietary component acquisition unit 113 may learn the amount of dietary components included in the image by machine learning or the like, and estimate the content of the dietary components by performing image analysis on the dietary image. The food component acquisition unit 113 may receive an input of nutrients or the like taken by the user without depending on image analysis. The dietary component acquisition unit 113 registers the intake amount of the acquired dietary component in the dietary component storage unit 132. The food component storage unit 132 can record, for example, a user ID, information for specifying a food component (hereinafter referred to as a food component ID), and an intake amount of the food component, in association with the date and time when the user took the food.

The user data transmitting unit 114 transmits information (hereinafter, referred to as user data) including life data of the user and the amount of the dietary component taken by the user to the recommendation device 2. For example, the user data transmitting unit 114 may read the life data and the intake amount of the dietary component of the previous day from the life data storage unit 131 and the dietary component storage unit 132 once a day and transmit the data to the recommendation device 2 as the user data, or may transmit the user data including only the life data to the recommendation device 2 every time the life data is acquired, and transmit the user data including only the intake amount of the dietary component to the recommendation device 2 every time the dietary component is acquired.

The diet information receiving unit 115 receives information on the diet of the user (hereinafter, referred to as diet information) transmitted from the advice device 2, and the diet information display unit 116 displays the diet information.

Fig. 4 is a diagram showing an example of the hardware configuration of the recommendation device 2. As shown in the figure, the recommendation device 2 includes a CPU201, a memory 202, a storage device 203, a communication interface 204, an input device 205, and an output device 206. The storage device 203 stores various data and programs, such as a hard disk drive, a solid state drive, a flash memory, and the like. The communication interface 204 is an interface for connecting to the communication network 3, and is, for example, an adapter for connecting to an ethernet (registered trademark), a modem for connecting to a public telephone line network, a wireless communicator for performing wireless communication, a USB connector for serial communication, an RS232C connector, or the like. The input device 205 inputs data, and examples thereof include a keyboard, a mouse, a touch panel, buttons, a microphone, and the like. The output device 206 outputs data, such as a display, a printer, a speaker, and the like.

Fig. 5 is a diagram showing an example of the software configuration of the recommendation device 2 according to the first embodiment. As shown in the figure, the advice device 2 includes a vital data acquisition unit 211, a diet component acquisition unit 212, an analysis processing unit 213, a diet information output unit 214, a vital data storage unit 231, and a diet component storage unit 232.

The vital data acquisition unit 211 acquires vital data of the user. In the present embodiment, the vital data acquisition unit 211 acquires vital data from user data transmitted from the user terminal 1. The vital data acquisition unit 211 registers the acquired vital data in the vital data storage unit 231. Fig. 6 is a diagram showing a configuration example of the vital data storage unit 231. The data storage unit 231 stores the date and time of measurement of the vital data, the data ID indicating the type of the vital data, and the measured value of the data in association with the user ID for identifying the user.

The food component acquisition unit 212 acquires food components ingested by the user. In the present embodiment, the food component acquisition unit 212 acquires food components from user data transmitted from the user terminal 1. The dietary component acquisition unit 212 registers the acquired dietary components in the dietary component storage unit 232. Fig. 7 is a diagram showing a configuration example of the dietary component storage unit 232. The food component storage unit 232 stores the user ID, the date and time when the user ingested the food, the food component ID for identifying the food component, and the intake amount of the food component in association with each other.

The analysis processing unit 213 analyzes the relationship between the diet components and the vital data. In the first embodiment, the analysis processing unit 213 can perform a single regression analysis with respect to each of various dietary components such as intake energy, protein, lipid, carbohydrate, and vitamin a, and vital data (systolic blood pressure, diastolic blood pressure, and the like).

The diet information output unit 214 outputs information (hereinafter, referred to as diet information) related to the diet of the user. In the first embodiment, the diet information output unit 214 can transmit the single correlation coefficient of each diet component as diet information to the user terminal 1. The diet information output unit 214 can output diet components for improving or worsening the life data by differentiating diet components having either one of positive correlation and negative correlation as diet components for improving the life data and diet components having the other of positive correlation and negative correlation as diet components for worsening the life data according to the type of the life data.

Fig. 8 is a diagram showing a process performed in the health management system of the first embodiment. In the user terminal 1, the vital data acquisition unit 111 acquires vital data from the vital sensor 4 (S301). The diet image capturing unit 112 controls the camera 106 to capture a diet image (S302), and the diet component acquiring unit 113 analyzes the captured diet image to determine the content of the diet component contained in the diet (S303). The user data transmitting unit 114 transmits user data including the vital data and the contents of the dietary components (S304).

When the recommendation device 2 receives the user data, the vital data acquisition unit 211 acquires the vital data from the user data, and the food component acquisition unit 212 acquires the intake amount of the food component from the user data. The analysis processing unit 213 analyzes the correlation between each diet component and the vital data (S306). The diet information output unit 214 transmits diet information including a diet component with a positive or 0 correlation coefficient as a component for improving life data (improved diet component) and a diet component with a negative correlation coefficient as a component for deteriorating life data (deteriorated diet component) to the user terminal 1 for each diet component (S307). Depending on the vital data, for example, when the weight, blood pressure, or the like exceeds an appropriate value, the explanatory variable of the positive correlation coefficient becomes a deterioration factor, and the explanatory variable of the negative correlation coefficient becomes an improvement factor. Therefore, in the definition of improvement/deterioration, it should be considered whether each vital data of the user is larger or smaller than an appropriate value.

In the user terminal 1, the diet information receiving unit 115 receives the diet information transmitted from the advice device (S308), and the diet information display unit 116 displays the received diet information on the touch panel display 105 (S309).

As described above, the user terminal 1 outputs the dietary components that improve or deteriorate the life data of the user. Therefore, the method can be used as a reference when the user prepares a diet.

Fig. 9 is a diagram showing an example of the diet information displayed by the user terminal 1. As shown in fig. 9(a), it is understood that the weight of the subject 13 increases when the subject takes carbohydrate and energy with the correlation coefficients shown in the figure, and decreases when the subject takes protein. On the other hand, as shown in fig. 9(B), it is understood that the subject 21 takes sodium, iron, vitamin B1, vitamin C, etc., the body weight increases, and the body weight decreases when the subject takes vitamin B2, vitamin a, etc. Thus, the dietary composition related to body weight varies from person to person. By decreasing the positive diet component with a high correlation coefficient and increasing the negative diet component with a low correlation coefficient, the weight can be effectively reduced. The dietary components exert different effects depending on the user, and in the health management system of the present embodiment, which dietary component affects the vital data of the user can be displayed on the user terminal 1.

< second embodiment >

In the first embodiment, as diet information, diet components based on a single regression coefficient for life data are displayed, and in the second embodiment, as diet information, multivariate analysis (multiple regression analysis) is performed using life data as a target variable and diet components as explanatory variables, and the coefficient of each diet component is output, and the intake amount of the diet component for bringing the life data to a target value is displayed in response to a target value of the life data. Fig. 10 is a diagram showing an example of the software configuration of the recommendation device 2 according to the second embodiment. The advice device 2 according to the second embodiment includes a target value input unit 215, an intake amount determination unit 216, a model storage unit 233, and a dietary intake reference storage unit 234, in addition to the functional units and the storage unit included in the advice device 2 according to the first embodiment. The multivariate analysis of the present embodiment includes a univariate regression analysis, a multivariate regression analysis, a principal component analysis, an independent component analysis, a factor analysis, a discriminant analysis, a number quantization theory (class I, class II, class III, class IV), a cluster analysis, a joint analysis, and a multidimensional scaling construction Method (MDS).

The model storage unit 233 stores a statistical model in which vital data is used as a target variable and dietary components are used as explanatory variables. The model storage unit 233 also stores parameters such as a regression coefficient and a constant to be applied to the statistical model.

In the second embodiment, the analysis processing unit 213 applies the vital data about the user and the intake amount of the dietary component to the statistical model for each user to perform multiple regression analysis, and estimates the regression coefficient and constant of each dietary component. The analysis processing unit 213 registers the estimated regression coefficient and constant in the model storage unit 233 in association with the user ID. By applying the diet component to a statistical model (hereinafter referred to as an estimation model) to which the estimated regression coefficient and constant are applied, it is possible to estimate the vital data of the user when the user ingests a diet containing such a diet component.

The target value input unit 215 receives input of a target value of vital data. The target value input unit 215 may receive a target value input by the user in the user terminal 1, or may receive an input of the target value from the input device 205 such as a keyboard.

The dietary intake standard storage unit 234 stores a standard (dietary intake standard) of the intake amount of energy and nutrients, which is published in the labor and welfare provinces and is referred to for health maintenance and improvement of japanese and prevention of lifestyle-related diseases. The diet intake reference storage unit 234 can store an arbitrary reference value instead of the reference value for the labor and labor savings table. Fig. 11 is a diagram showing a configuration example of the dietary intake criterion storage unit 234. As shown in the figure, the dietary intake standard storage unit 234 stores intake standard amounts of dietary components in association with dietary component IDs, sexes, and ages indicating the dietary components. The dietary intake reference storage 234 may store reference values in association with attributes of the user such as body weight and BMI, instead of or in addition to at least one of sex and age.

The intake amount determination unit 216 determines the amount of each dietary component (hereinafter referred to as an intake target amount) so that the vital data in the calculation result based on the estimation model matches or is closest to the target value received by the target value input unit 215. For example, the intake amount determination unit 216 can read a reference value corresponding to the attribute of the user from the dietary intake reference storage unit 234 for each dietary component and apply the reference value to the estimation model, and when the result is larger than the target value, can reduce the amount of the dietary component having a positive regression coefficient and increase the amount of the dietary component having a negative regression coefficient, and repeat the calculation so that the vital data approaches the target value, thereby determining the intake target amount of each dietary component. The amount of increase or decrease of the dietary component may be, for example, a predetermined ratio of the dietary component (for example, may be an arbitrary value such as 1%). The intake amount determination unit 216 may use any algorithm as long as it can determine the intake target amount of each dietary component so that the vital data is closest to the target value.

Fig. 12 is a diagram showing a process performed in the health management system of the second embodiment. In the process of fig. 12, when compared with the process shown in fig. 8, instead of step S306, the analysis processing unit 213 applies the transmitted user data, that is, the vital data of the user and the intake amount of the dietary component to the statistical model to perform the multiple regression analysis, and estimates the regression coefficient and the constant of each dietary component as described above (S306'). After step S306', the target value input unit 215 receives the input of the target value of the vital data (S321), and the intake amount determination unit 216 determines the intake target amount of each dietary component so that the vital data is closest to the target value (S322). Further, instead of step S307, the diet information output unit 214 transmits the intake target amount to the user terminal 1 as diet information (S307').

Fig. 13 is a diagram showing an example of diet information displayed on the user terminal 1 in the second embodiment. In the example of fig. 13, a multiple regression expression relating to systolic blood pressure as vital data is shown. By taking this as a reference, it is possible to easily grasp which dietary component affects the systolic blood pressure with respect to the subject 5, the user.

Fig. 14 is a graph illustrating the intake target amount. In the example of fig. 14, when the systolic blood pressure measured on 12 days 7 and 7 in 2018 was 133mmHg and the dietary components to be taken were as shown in the upper table, and when each dietary component was determined with the target value of the systolic blood pressure of 118mmHg, the predicted value of the vital data was 117mmHg and the target amount of the dietary component to be taken was as shown in the lower table. In this way, since the dietary components to be included in the diet (optimal diet) that can achieve the target value of the vital data can be expressed, the recipe of the optimal diet can be easily prepared with reference to this.

< third embodiment >

In a third embodiment, a recommendation for an ancillary food is combined with the dietary information. The supplementary food of the present embodiment is suggested to be combined with one or both of a functional food containing a nutritional ingredient and a functional food containing a non-nutritional ingredient. In the following description, food containing nutritional components/non-nutritional components will be collectively referred to as "functional food". The nutritional components are nutritional component expression items (calorie, protein, lipid, carbohydrate, sodium, saturated fatty acid, n-3 fatty acid, n-6 fatty acid, cholesterol, sugar, saccharide (monosaccharide or disaccharide, not sugar alcohol), dietary fiber, zinc, potassium, calcium, chromium, selenium, iron, copper, magnesium, manganese, molybdenum, iodine, phosphorus, nicotinic acid, pantothenic acid, biotin, vitamin A, B1, B2, B6, B12, C, D, E, K, folic acid) based on food expression, and the non-nutritional components are components other than nutritional components such as polyphenol and GABA and a group of components consisting of a plurality of components (e.g., cyclodextrin of dietary fiber) identified from the nutritional components. Fig. 15 is a diagram showing an example of the software configuration of the recommendation device 2 according to the third embodiment. The recommendation device 2 according to the third embodiment includes a diet content input unit 217, a functional food selection unit 218, and a functional food information storage unit 235 in addition to the functional units and the storage unit shown in fig. 10.

The diet content input unit 217 receives an input of the content of a diet to be taken. The content of the diet includes dietary components contained in the diet. The contents of the diet may include instructions and images related to the diet.

The functional food information storage unit 235 stores information related to functional food. Fig. 16 is a diagram showing a configuration example of the functional food information storage unit 235. The functional food information storage unit 235 stores, in association with information (functional food ID) for identifying a functional food, a description about a dietary component ID indicating a dietary component contained in the functional food, a content of the dietary component, and the functional food.

The functional food selector 218 selects a functional food that supplements the dietary components lacking in the user. The functional food selection unit 218 can compare the amount of the dietary component contained in the inputted dietary content with the intake target amount determined by the intake amount determination unit 216, and select a functional food containing the dietary component not reaching the intake target amount from the functional food information storage unit 235. When the plurality of types of functional foods contain the dietary components in the deficiency, the functional food selector 218 can select the functional food containing the largest amount of the deficiency or less, for example. In addition, when a plurality of functional foods are combined, one combination of functional foods can be selected so as to minimize the types of functional foods.

Fig. 17 is a diagram showing a process performed in the health management system of the third embodiment. In the processing shown in fig. 17, compared with the processing shown in fig. 12, after step S322, the intake amount determination unit 216 outputs the determined intake target amount (S331). The intake amount determination unit 216 may output the intake amount to the output device 206 of the advice device 2, or may transmit the intake target amount to the user terminal 1 and output the intake target amount to the user terminal 1. Next, the diet content input unit 217 receives the diet content and the amount of the diet component contained in the diet (S332). It is assumed that the contents of the diet are determined with reference to the outputted intake target amount. The diet content input unit 217 may receive an input from the input device 205 of the advice device 2, or may receive the diet content and the amount of the diet component input in the user terminal 1 from the user terminal 1. The functional food selecting unit 218 identifies an insufficient dietary component in which the amount of the inputted dietary component is smaller than the intake target amount of the dietary component of the optimal diet, and selects a functional food containing the insufficient dietary component from the functional food information storing unit 235 (S333). Instead of step S307', the diet information output unit 214 transmits diet information including the inputted diet content, the intake target amount, and the description of the functional food to the user terminal 1(S307 ").

Fig. 18 is a diagram showing an example of diet information displayed on the user terminal 1 in the third embodiment. In the example of fig. 18, functional foods are suggested along with the contents of the diet. Thus, the functional food (supplement) can supplement nutrients and non-nutritive functional components which are not taken sufficiently by the diet alone, and the life data can be brought close to the target value.

< fourth embodiment >

In the second and third embodiments described above, the intake target amount for one user is determined, but the intake target amount may be determined for a group of a plurality of users. Similarly, in the fourth embodiment, the target value input unit 215 receives input of a target value of vital data for each user, and the analysis processing unit 213 performs multiple regression analysis for each user to estimate parameters of a statistical model. However, the intake amount determination unit 216 applies the same amount of dietary components to the estimation model for each user, and determines the intake target amount so that the sum of the differences between the estimated value and the target value of the vital data of each user is minimized. Thus, for example, when a diet of the same recipe is provided to each user in a group in a canteen or the like, the value of the life data can be brought close to the target value by providing the diet as a whole.

In the fourth embodiment, in addition to the above-described intake target amount determined for a group, the analysis processing unit 213 may determine an intake target amount for each user, the diet content input unit 217 may output the intake target amount for the group, and the functional food selection unit 218 may determine an insufficient amount of a diet component by comparing a difference between the intake target amount for each user and an amount of the diet component included in the diet, and may select a functional food for each user to supplement the insufficient amount of the diet component. In this case, since the optimal amount of the dietary component can be adjusted for each user by the functional food, the life data of each user is expected to approach the target value.

< fifth embodiment >

In the first to fourth embodiments, the explanatory variables of the presumption model are only dietary components, but the behavior relating to the lifestyle habits may be added to the explanatory variables. In this case, the presentation device 2 may be provided with a lifestyle habit information input unit that receives input of information indicating lifestyle habits such as exercise, drinking, smoking, stress, and sleep, and the analysis processing unit 213 may perform the multiple regression analysis by adding information indicating the lifestyle habits as explanatory variables. Thus, it is possible to provide optimal diet information by considering the influence of the combination of the lifestyle habits and the dietary components of the user on the life data of the user.

The present embodiment has been described above, but the above embodiment is provided to help understanding of the present invention, and the present invention is not limited to the explanation. The present invention may be modified and improved within the scope not departing from the gist thereof, and the present invention also includes equivalents thereof.

For example, although the biosensor 4 is a device for measuring blood pressure in the present embodiment, a weighing scale, a body composition meter, or the like may be used, and a device for measuring biochemical test items of blood (blood glucose, cholesterol, neutral fat, γ -GTP, HbA1c, or the like) may be used. Also in this case, it is preferable to use a non-invasive measuring apparatus.

In the present embodiment, the input of the contents of the diet is performed by the advice device 2 or the user terminal 1, but the intake amount determination unit 216 may transmit the intake target amount to a computer operated by a dietician, a cook who makes a recipe, or the like, and receive the input from the dietician or the cook.

In the present embodiment, the correlation between the food ingredients and the vital data is analyzed by regression analysis, but it may be analyzed by machine learning. For example, learning can be performed using a neural network using a diet component as an input signal and using life data as a teacher signal.

In the present embodiment, the server client is configured to perform analysis processing in the advice device 2, but the user terminal 1 may be configured to have all the functions of the advice device 2 and to make an advice of an optimal diet only by the user terminal 1.

< example 1 >

Hereinafter, specific examples of the optimum diet obtained by the recommendation device of the present invention including the first to fourth embodiments will be described. In the present example, the optimum nutrients calculated by the method of the present invention described above were compared with the nutrients that the user had ingested (average nutrients). For example, as shown in fig. 23, the optimal nutrient (daily) is calculated from "the average intake amount of nutrients at ordinary times (the average intake amount in the observation test)" of "C (blood pressure: 129 mmHg)" which is a high-risk person with high blood pressure, wherein the amount of blood pressure increasing factors (energy, sodium, vitamin B1, as shown in the figure) of C decreases, and the amount of blood pressure stabilizing factors (protein, vitamin C, as shown in the figure) increases.

In practice, as shown in fig. 24, the estimated value of the daily nutrient amount of the optimal diet within a reasonable range for the subject is determined with reference to the multivariate analysis result obtained from the data of blood pressure and nutrient intake collected during the observation period, the dietary intake standard of the japanese person, and the average nutrient intake amount of the individual.

The estimated value of the nutrient of the optimal diet can be obtained as follows. The blood pressure and nutrient intake data acquired for each user are subjected to multiple regression analysis, nutrients having an influence on the blood pressure are determined from energy, protein, lipid, carbohydrate, calcium, iron, vitamin a, vitamin E, vitamin B1, vitamin B2, vitamin C, dietary fiber, saturated fatty acid, sodium, and potassium, and the relational expression between the blood pressure and the nutrient intake is determined. From this relational expression, the amount of nutrients that have an effect on blood pressure is determined so that the blood pressure is 10mmHg lower than the average blood pressure of the user. Then, the total nutrient amount was determined so as to satisfy the following conditions 1) to 3). 1) The amounts of the three major nutrients (carbohydrates, lipids, proteins) specified in the dietary intake standard of japanese (2015 edition) are not less than the minimum value and less than 120% of the maximum value for users of the same age and sex; 2) for nutrients for which an upper limit amount is determined to be tolerable, the upper limit amount is not exceeded; 3) the amount of the specified blood pressure-related component is 80% or more of the estimated average required amount or standard amount in the dietary intake standard of Japanese.

Next, as shown in fig. 25, for example, a basic recipe for breakfast, lunch, and dinner is prepared by a maker, a dietician, and the like. The total nutrient content is determined by obtaining and summing the nutrient contents of breakfast, lunch and dinner from the amounts of food materials and seasonings used based on the Japanese food standard ingredient table. Excess or deficiency is determined by comparing the nutrient amount for each nutrient with a previously determined estimate of the nutrient for the optimal diet.

Finally, as shown in fig. 26, the recipe was changed so that the optimum diet was determined for each user without excess or deficiency from the estimated value of the nutrients of the optimum diet. In the illustrated example, the changed food and seasoning are underlined.

< example 2 >

In the above example 1, the health management system performed (1) acquisition of information on a reference diet (the above-described basic breakfast, lunch, and dinner), (2) identification of the nutrient components of the reference diet, (3) comparison with the nutrient components of the optimal diet, and (4) generation of a recipe of the optimal diet based on the comparison result (see fig. 27).

However, the present invention is not limited to this, and for example, the health management system may further include a recipe information acquisition unit that stores recipe information (nutrients of each recipe are associated with each recipe), and the recipe may be generated by only two steps of (1) acquiring nutrients of an optimal diet and (2) determining the recipe by the recipe information acquisition unit with reference to the recipe information (fig. 28). That is, the recipe information may be directly generated from the information on the optimal diet without acquiring the reference diet (or input from a casual producer, a management dietician, or the like).

The above description of the embodiments is an example. For example, the adjustment may be performed by snack foods, ingredients other than food materials (supplements, nutritional supplements, and the like).

Industrial applicability

The present invention can verify the difference of dietary components that affect the blood pressure of each person found from each person's daily lifestyle, and thus can optimize individuals who eat food and provide health measures only for the person (fig. 19). For example, the concept of a personal optimal diet (based on nutritional value) associated with subject 5 in fig. 19 is shown in fig. 20. In addition, the present invention aims to extend the health life by the optimal diet health analyzed based on the daily physical and dietary data (fig. 21), and to extend the health life by the optimal diet health analyzed based on the daily physical and lifestyle data (fig. 22).

Description of the symbols

1: a user terminal; 2: a recommendation device; 3: a communication network; 4: a life sensor; 111: a vital data acquisition unit; 112: a diet image shooting part; 113: a dietary component acquisition unit; 114: a user data transmitting unit; 115: a diet information receiving unit; 116: a diet information display unit; 131: a life data storage unit; 132: a food component storage unit; 211: a vital data acquisition unit; 212: a dietary component acquisition unit; 213: an analysis processing unit; 214: a diet information output unit; 215: a target value input unit; 216: an intake amount determining section; 217: a diet content input unit; 218: a functional food selection part; 231: a life data storage unit; 232: a food component storage unit; 233: a model storage unit; 234: a dietary intake criterion storage unit; 235: a functional food information storage part.