阅读说明：本技术 基于数字化健康管理的精准营养分析与指导装置 (Accurate nutrition analysis and guidance device based on digital health management ) 是由 李婧 孔飞 刘邦长 张平 贾洁 赵进 庄博然 常德杰 刘朝振 于 2021-08-27 设计创作，主要内容包括：本发明涉及一种数字化自我健康管理的方法,包括如下步骤：步骤1,至少通过问答方式采集用户信息；步骤2,对通过所述步骤,1获得的用户信息进行运算,以生成关于该用户的健康特性信息；步骤3,根据步骤2中获得的健康特性信息调取食材数据库中的数据,以便给出食材建议；步骤4,根据步骤2和步骤3的健康特性信息和食材建议,推送给该用户营养资讯、营养食谱分解和营养服务推荐。从而能够帮助用户进行自我健康管理,在用户自暴自弃时给用户打气加油,并且给出具体的措施。本发明还涉及自我健康管理装置。(The invention relates to a digital self-health management method, which comprises the following steps: step 1, collecting user information at least in a question-answering mode; step 2, operating the user information obtained in the step 1 to generate health characteristic information of the user; step 3, calling data in a food material database according to the health characteristic information obtained in the step 2 so as to give a food material suggestion; and 4, pushing nutrition information, nutrition recipe decomposition and nutrition service recommendation to the user according to the health characteristic information and the food material suggestions in the step 2 and the step 3. Therefore, the system can help the user to carry out self health management, pump up and refuel the user when the user is automatically abandoned, and give specific measures. The invention also relates to a self-health management device.)

1. A method for digital self-health management, comprising the steps of:

step 1, collecting user information at least in a question-answering mode;

step 2, operating the user information obtained in the step 1 to generate health characteristic information of the user;

step 3, calling data in a food material database according to the health characteristic information obtained in the step 2 so as to give a food material suggestion;

and 4, pushing nutrition information, nutrition recipe decomposition and nutrition service recommendation to the user according to the health characteristic information and the food material suggestions in the step 2 and the step 3.

2. The method of digitized self-health management according to claim 1, further comprising in step 1 automatically crawling the user's health management information after the user's permission.

3. The method of digitized self-health management according to claim 2, wherein step 1 further comprises collecting information actively input by the user and related to health management, and then analyzing and responding to the information and storing the information.

4. The method of claim 3, wherein the operations performed in step 2 comprise: the BMI is calculated and based thereon health characteristics information for one of wasting, normal, overweight and obesity is given.

5. The method of digital self-health management according to claim 4, characterized by a further step 2.1 between said steps 2 and 3, giving a recommended daily energy intake based on the physical activity index PAL of the user.

6. The method of digitized self-health management according to claim 5, wherein in step 3 the food material recommendation calculates daily food serving according to the daily energy recommended intake in step 2.1.

7. The method of digitized self-health management according to claim 6, further comprising a step 5 of outputting a historical review of the user's preferred self-health behavior.

8. A self-health management device, comprising: a module corresponding to any of claims 1-7, for collection and output to a user's client and cloud for storage and computing.

9. The self-health-management apparatus according to claim 8, further comprising means for identifying privacy of personal data.

10. The self-health management device of claim 9, further comprising an identity verification device, thereby forming a database that is specific to the user.

Technical Field

The invention relates to the technical field of health management and nutrition management, in particular to an accurate nutrition analysis and guidance system based on digital health management.

Background

At present, the ordinary public generally needs to obtain a nutrition scheme, and generally needs to give the nutrition scheme and suggestions through the face diagnosis of doctors in clinical nutrition departments of hospitals, so that the time and the labor are consumed; or the existing nutrition system in the market is used for evaluation and calculation, but most of the nutrition requirements of individuals cannot be accurately matched due to the fact that the basic characteristics of human bodies such as age, sex, height, weight and the like are analyzed, and the personalized nutrition guidance effect is not obvious due to the lack of knowledge transfer and effective interaction.

Disclosure of Invention

In order to accurately guide the individual nutrition condition, the system takes digital health management as a link, establishes a nutrition analysis and guidance platform for a user, adjusts nutrition diet, transmits related nutrition knowledge, mobilizes the self-management ability of the user at any time according to the self condition and the ill information of the user, and protects the health of the user. The invention has the beneficial effects that the daily food materials and related nutrition information can be recommended in a targeted manner according to different crowds, the nutrition cognition of the crowds is improved in multiple dimensions, accurate nutrition catering is provided, and the health is improved. The invention therefore proposes: a nutrition analysis method and a guidance device based on nutrition model algorithms of different crowds (general crowds, obesity, hypertension, diabetes, hyperlipidemia, gout and the like).

In order to achieve the purpose, the invention adopts the following technical scheme:

a method of digital self-health management, comprising the steps of:

step 1, collecting user information at least in a question-answering mode;

step 2, operating the user information obtained in the step 1 to generate health characteristic information of the user;

step 3, calling data in a food material database according to the health characteristic information obtained in the step 2 so as to give a food material suggestion;

and 4, pushing nutrition information, nutrition recipe decomposition and nutrition service recommendation to the user according to the health characteristic information and the food material suggestions in the step 2 and the step 3. Therefore, the system can help the user to carry out self health management, pump up and refuel the user when the user is automatically abandoned, and give specific measures.

Preferably, step 1 further comprises automatically capturing the health management information of the user after the permission of the user.

Preferably, the step 1 further comprises collecting information related to health management actively input by the user, and then analyzing, responding and storing the information.

Preferably, the operation performed in step 2 includes: the BMI is calculated and based thereon health characteristics information for one of wasting, normal, overweight and obesity is given.

Preferably, between said step 2 and step 3 there is also a step 2.1 of calculating the recommended daily energy intake based on the physical activity index PAL of the user.

Preferably, in step 3, the food material recommendation calculates daily food exchange servings according to the daily energy recommended intake in step 2.1.

Preferably, a step 5 of outputting a historical review of the user's preferred self-wellness behavior is further included.

The present invention also relates to a self-health management apparatus comprising: the module is used for collecting and outputting the data to a client of a user and a cloud end used for storage and calculation.

Preferably, means are also included to identify privacy of the personal data.

Preferably, an identity confirmation means is further included, thereby forming a database which is specific to the user.

Therefore, the technical scheme of the invention can adjust the nutrition diet at any time according to the self condition and the illness information of the user, transmit related nutrition knowledge, and mobilize the self management ability of the user, thereby protecting the health of the user. On one hand, each individual is guided in a most personalized and favorite way, on the other hand, the behavior habit of the user is subtly changed, so that the scientific and healthy eating behavior habit is established, and finally the high-quality health of each individual is achieved; on the other hand, help the whole population become more viable, reducing the morbidity and hospitalization costs.

The term "given" above may be implemented by establishing a database correspondence.

Drawings

FIG. 1 is a schematic flow chart of the method of the present patent.

Detailed Description

Referring to fig. 1, as shown in fig. 1, in a preferred embodiment of the present application, the present application relates to a precise nutrition analysis and guidance system based on digital health management.

Step 1, register and log in 1. In this embodiment, the registration and login 1 is that a user uses an interactive module to register and login through a mobile phone APP, and enters pages of nutrition screening and evaluation, diet inquiry, nutrition interaction and the like after logging in. It should be noted that the post-login APP displayed pages include, but are not limited to, nutrition screening and assessment, diet inquiry, and nutrition interaction.

And 2, screening nutrition 2. In this embodiment, the user will enter the nutrition screening module after logging in. The nutrition screening module is used for answering on a professional H questionnaire by a user, and drawing a related nutrition map by acquiring answering information of the user on the H questionnaire and acquiring related data. It should be noted that the above data collection method includes, but is not limited to, a question and answer method, and also includes a method in which a user actively inputs information related to health management. The answer information of the H questionnaire refers to the nutrition part of the H questionnaire, but the H questionnaire is not limited to the answers to the nutrition part; data collection includes, but is not limited to, weight, blood pressure, blood glucose, blood lipid, etc.

And 3, after the related information is acquired through the nutrition screening 2, creating a special nutrition map for an individual by combining the food material database 31 and applying a nutrition algorithm 3 according to the information fed back by the nutrition screening 2.

In this embodiment, it should be noted that creating the exclusive nutrition profile refers to retrieving data of the food material database according to the health characteristic information obtained in the nutrition screening 2, so as to achieve the purpose of creating the exclusive nutrition profile; the nutrition algorithm 3 is used for carrying out digital intelligent analysis on the acquired health characteristic information, namely calculating the BMI (body mass index) and providing health characteristic information of one of emaciation, normality, overweight and obesity according to the BMI; giving a recommended daily energy intake according to the physical activity index PAL of the user; daily food exchange portions were calculated based on daily energy recommended intakes.

Further, a nutrition management scheme is provided according to the nutrition map obtained by the nutrition algorithm 3, and then a nutrition scheme 4 is provided.

In this embodiment, it should be noted that the nutrition program 4 includes nutrition recipe decomposition 41, nutrition information push 42, nutrition compliance tracking 43, and nutrition service extension 44. Nutritional compliance refers to the degree of execution or completeness of a nutritional regimen by a customer. The nutrient recipe decomposition means that the whole nutrient recipe consists of a plurality of parts, including daily energy demand of each person, intake of three high-yield nutrients and other nutrients, food material types and gram number recommendation and the like.

Wherein, the nutrient recipe decomposition 41 can provide the daily energy requirement, the intake of three high-yield nutrients and other nutrients, food material types and gram number recommendation and the like for each person; the nutrition information pushing 42 pushes related information according to different nutrition schemes of specific people, so as to improve the nutrition cognitive level of the user; nutritional compliance tracking 43, namely regularly issuing a diet card-punching task, and timely grasping the compliance and satisfaction degree of the user on the scheme; the nutritional service extension 44 is then matched to the appropriate nutritional services, including but not limited to nutritional counseling, based on the physical condition and nutritional needs of the user.

Furthermore, a nutrition evaluation module 5 is used for carrying out … … N evaluation analysis on the conditions fed back by the nutrition scheme 4 for two times and three times, and timely optimization and updating are carried out on the nutrition scheme.

The management device of the present invention further includes:

and a user interaction module. The user can register and log in through the mobile phone APP, and enter a page to conduct nutrition screening and evaluation, diet inquiry, nutrition interaction and the like.

A nutrition screening module. The user answers on a professional H questionnaire. And (3) acquiring response information of the user to the H questionnaire (nutrition part) and acquiring data (weight, blood pressure, blood sugar, blood fat and the like), and drawing a nutrition map in the next step.

And a nutrition algorithm module. And (3) performing digital intelligent analysis by combining a food material database according to the information feedback of the module 2, and creating a personal special nutrition map.

And a nutrition management module. And issuing a nutrition management scheme according to the nutrition map of the module 3. The specific content comprises the following steps: nutrient recipe decomposition, nutrient information pushing, nutrient compliance tracking and nutrient service extension.

Wherein the nutritional recipe can provide daily energy requirement, nutrient intake of three major products and other nutrients, food material type and gram number recommendation and the like for each person; pushing related information according to different nutrition schemes of specific crowds, wherein the related information is used for improving the nutrition cognitive level of the user; regularly issuing a diet card-punching task, and timely mastering the compliance and satisfaction degree of a user to the scheme; according to the physical condition and the nutritional requirement of the user, matching the proper nutritional services, including but not limited to nutritional counseling.

A nutrition assessment module. And (4) carrying out … … N evaluation analysis for two times and three times according to the feedback condition of the module 4, and optimizing and updating the nutrition scheme in time.

In a specific application scenario, taking an obese group as an example:

1. and a user interaction module. And the user registers and logs in through the mobile phone APP, and enters a page to perform nutrition screening and evaluation.

2. A nutrition screening module. The user answers on a professional H questionnaire. By acquiring the response information of the user to the H questionnaire (nutrition part) and data acquisition (height, weight and body fat), the next step of nutrition atlas drawing is carried out,

nutritional issues include, for example: (1) how many vegetables and fruits you eat per day on average. (2) The number of snacks per week. (3) You eat how much meat (livestock and poultry meat, aquatic products) on average every day. (4) Whether or not there is a certain food restriction. And the like.

3. And a nutrition algorithm module. According to the information feedback of the module 2, the height and the weight are combined with the formula: body Mass Index (BMI) = weight (kg)/[ height](m)²And calculating the BMI. According to the reference range: BMI<18.5 (wasting); BMI of 18.5 or less<24 (normal); BMI > 24 (overweight); BMI is greater than or equal to 28 (obesity). If the BMI is larger than or equal to 28, the user is judged to be obese. And (4) combining nutrition questions and answers, carrying out digital intelligent analysis, calling a food material database, and creating a special nutrition map for obese people. The fat people nutrition algorithm comprises the following steps:

(1) calculating basal metabolic energy expenditure (BEE) according to sex, height, weight and age;

(2) calculating the recommended daily energy intake of each person of the general population by combining the Physical Activity (PAL) index;

(3) subtracting 300-500 kcal from the obese people on the basis of the step (2), namely the recommended daily energy intake of the people;

(4) according to the food exchange share principle, combining the step (3), calculating the daily food exchange shares of the crowd; the food exchange share is that foods are divided into eight categories, which are slightly different from the existing products on the market: cereals and potatoes, vegetables, fruits, milk, soybeans, meat and eggs, nuts and edible oil. Each meal exchange serving may produce 90kcal of energy (almost fixed) and all foods refer to the net weight of the edible parts after the skin, core, seeds, bones, etc. have been removed. The parts of the energy required by the user per day are calculated by dividing the energy required by the user per day by 90kcal, and then the parts are distributed in the eight categories according to a certain proportion, so that the production capacity proportion of the protein, the carbohydrate and the fat meets the national recommended standard. Similar food material databases are commercially available;

(5) according to the food category, distributing the food portions of the step (4) in proportion;

(6) randomly extracting food materials according to the rule in the step (5); and calculating the grams of the recommended food materials according to the nutritional ingredient values contained in each hundred grams of food materials.

4. And a nutrition management module. And (4) providing a nutrition management scheme for the obese people according to the nutrition map of the module 3. The specific content comprises the following steps: nutrient recipe decomposition, nutrient information pushing, nutrient compliance tracking and nutrient service extension;

wherein the nutritional recipe can provide daily energy requirement, nutrient intake of three major products and other nutrients, food material type and gram number recommendation and the like for each person;

the nutrition information pushing platform has own information according to the nutrition scheme of the obese people, for example, (1) the 4 foods are 'oil absorption households', and people are difficult to strangely eat various diseases such as hypertension, hyperlipidemia and obesity; (2) dinner decides your weight! 3 supper principles, which enables people to be far away from obesity and prolong life. Improving the nutritional cognitive level of the user through information push;

the background regularly issues food card tasks, such as: three meals a day, food photographing, and the like are recorded. The compliance and satisfaction degree of the user to the scheme are mastered in time according to the completion condition of the user, and the nutrition scheme is perfected;

according to the physical condition and the nutritional requirements of the user, the proper nutritional services are matched, including subtle nutrition assistants, nutritional online consultation and the like. The subtle nutrition assistant can help users to solve the problems about diet in life, and the nutrition online consultation solves the problems about diet and diseases through clinical dieticians.

5. A nutrition assessment module. And (4) carrying out … … N evaluation analysis for two times and three times according to the feedback condition of the module 4, and optimizing and updating the nutrition scheme in time.

The above embodiments are only preferred embodiments of the present invention, and any changes and modifications based on the technical solutions of the present invention in the technical field should not be excluded from the protection scope of the present invention.