WO2018014506A1 - Health evaluation method and system, and server - Google Patents

Abstract

Disclosed are a health evaluation method and system, and a server. The health evaluation method comprises: receiving at least one piece of health data (102); according to the at least one piece of health data, obtaining at least one single evaluation result (104); according to the at least one single evaluation result and periodic measurement data, obtaining a comprehensive evaluation result (106); sending the comprehensive evaluation result to an intelligent device (108), so that the intelligent device displays and/or executes the comprehensive evaluation result, thus making the result display of the health data more convenient, and enabling a user to observe the health state of family members and his/herself at any time. A single evaluation result is a model obtained in accordance with standards of the World Health Organization, thus enabling the evaluation to be more scientifically established. According to single and comprehensive evaluation, the evaluation result can be richer and a household health evaluation and risk evaluation can be conveniently realized.

Description

Health assessment method, system and server Technical field

The present invention relates to the field of health management technologies, and in particular to a health assessment method, system and server.

Background technique

The incidence of chronic diseases such as obesity, three high and cardiovascular diseases is increasing, which has a serious impact on people's lives and work, especially the consequences of a series of complications caused by poor management. The awareness rate and control rate of chronic diseases have been at a relatively low level. In addition, China's medical resources are in short supply and medical costs are high. The management of chronic diseases in hospitals is less enforceable. The emergence of mobile Internet provides a good idea and method for popularizing medical health knowledge and guiding patients with chronic diseases for daily disease management. Therefore, people are increasingly hoping to obtain comprehensive medical care guidance at home and in daily life. Therefore, how to comprehensively and efficiently obtain health assessment has become an urgent problem to be solved.

Summary of the invention

The present invention aims to solve at least one of the technical problems existing in the prior art or related art.

To this end, it is an object of the present invention to provide a health assessment method.

Another object of the present invention is to propose a health assessment system.

In view of this, according to an object of the present invention, a health assessment method is provided for a server, comprising: receiving at least one health data; acquiring at least one single evaluation result according to at least one health data; according to at least one The item evaluation result and the period measurement data are used to obtain the comprehensive evaluation result; the comprehensive evaluation result is sent to the smart device for the smart device to present and/or perform the comprehensive evaluation result.

The health assessment method provided by the invention receives one or more health data of body weight, body fat, blood pressure, blood sugar, blood lipid, heart rate, sleep, exercise, and the health data can be manually entered or by intelligent hardware (such as a weight scale, Body fat scale, sphygmomanometer, blood glucose meter, blood lipid meter, ECG sticker, smart Automatic measurement of one or more health data, one or more individual evaluation results corresponding to the one or more health data, and optimization of the individual evaluation results by periodic measurement data, one for each The severity of the item or multiple individual evaluation results is weighted, and the comprehensive evaluation result is obtained. The comprehensive evaluation result is sent to the mobile APP or sent to the smart home appliance within the family for presentation and/or execution, and the result is more convenient. It enables users to have an insight into their family members and their own health status at any time. The results of individual assessments are based on the models obtained by reference to the World Health Organization standards, making the assessment more scientifically based. Based on individual and comprehensive assessments, the assessment results are more abundant and can be easily implemented in the family. Health assessment and risk assessment.

Among them, the single evaluation model is derived according to the standards recognized by the World Health Organization or domestic health organizations. For example, body weight is judged according to the standard BMI (Body Mass Index); blood pressure is based on the Chinese Ministry of Health and the World Health Organization. The high blood pressure grading model was evaluated; sleep was evaluated according to factors such as deep sleep and light sleep, combined with breathing and heart rate. A single weight assessment model based on standard BMI, including factors such as height, age, gender, waist and hip circumference, etc. If the measurement results include body fat, the BMI is reversed by comparing the body fat to the standard body fat percentage range. Value, combined with relevant influencing factors to calculate the results.

According to the above health evaluation method of the present invention, it is also possible to have the following technical features:

In the above technical solution, preferably, the step of obtaining the comprehensive evaluation result according to the at least one single evaluation result and the period measurement data, comprising: adjusting at least one single evaluation result according to the period measurement data; according to the adjusted at least one item The results of the individual evaluations are obtained according to the preset formula, and the comprehensive evaluation results are obtained;

Where, Z is a comprehensive assessment of the results, X _i is at least one single assessment, q is at least one single assessment of severity weights.

In the technical solution, at least one single evaluation result is optimized according to the period measurement data, and the comprehensive evaluation result is obtained according to the preset formula and the optimized at least one single evaluation result, and the preset formula is

Where Z is the comprehensive assessment result, X _i is at least one individual assessment result, and q is the severity weight of at least one individual assessment result, when a single assessment result indicates that the user is unhealthy, such as weight, blood pressure Or any of the evaluation results in sleep is unhealthy, and the overall assessment will be based on the main part of the assessment.

In any one of the above technical solutions, preferably, the step of adjusting at least one single item evaluation result according to the period measurement data comprises: obtaining at least one item according to an average value of the period measurement data The fluctuation of the evaluation result of the item; obtaining the change trend of at least one individual evaluation result according to the variance or the mean square error of the period measurement data; adjusting at least one individual evaluation result according to the fluctuation situation and the change trend. Preferably, the period measurement data includes daily measurement data, weekly measurement data, monthly measurement data, quarterly measurement data, and annual measurement data.

In this technical solution, for the continuous measurement situation, the evaluation result is corrected according to the variance variance, VAR (or mean square error, MSE) of the latest consecutive N parameters, that is, the fluctuation condition. For continuous measurement for one week, or one month, the weekly or monthly variance or mean square error is continuously calculated based on the daily mean (or peak, valley, etc.) data to obtain fluctuations, and the results are based on variance or mean square error. Correction and trend determination. The annual results will be calculated based on the weekly mean (or peak, valley, etc.) to calculate the variance or mean square error. Among them, the analysis of weekly, monthly and annual is mainly to evaluate the trend and analyze the diet, exercise and related habits of a certain period of time, and correct the results. Give a more accurate assessment of the user's health status.

In any of the above technical solutions, preferably, the at least one health data comprises one or a combination of the following: body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise.

In this technical solution, the user can evaluate health data such as body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise, etc. at home, eliminating the need for health assessments that must be performed at the hospital for physical examination, and testing through daily health parameters. Home-based health assessments and risk assessments can be achieved with customary records.

In any of the above technical solutions, preferably, the comprehensive evaluation result includes one or a combination of the following: a score, a data analysis result, a lifestyle estimation result, a disease risk reminder, a trend analysis, and a life improvement program.

In the technical solution, the analysis results include scoring, data analysis, inference of past living habits (diet, exercise, lifestyle, etc.), disease risk warning, body weight and blood pressure trend analysis, and subsequent improvement programs corresponding to current living conditions. Such as diet, exercise, sleep, etc., so that users get a variety of health information, help users develop healthy living habits, and improve user satisfaction.

According to another object of the present invention, a health assessment system is provided for a server, comprising: a data receiving unit for receiving at least one health data; a health evaluation unit, for Obtaining at least one individual evaluation result according to at least one health data; and obtaining a comprehensive evaluation result according to at least one single evaluation result and periodic measurement data; and a result sending unit, configured to send the comprehensive evaluation result to the smart device for The smart device presents and/or performs a comprehensive assessment of the results.

The health assessment system provided by the present invention, the data receiving unit receives one or more health data of body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep, exercise, and the health data can be manually entered or by intelligent hardware (eg The weight scale, body fat scale, sphygmomanometer, blood glucose meter, blood lipid meter, ECG sticker, smart bracelet, etc. are automatically measured, and the health assessment unit obtains one or more health according to one or more health data. One or more individual evaluation results of the data, the single evaluation results are optimized by the period measurement data, and the severity of one or more individual evaluation results is weighted to obtain a comprehensive evaluation result, and the result sending unit will comprehensively evaluate the results. Sending to a mobile app or sending it to a smart home appliance in the home to present and/or execute the results, presenting the results more conveniently, allowing the user to have an insight into the family and their health at any time. The individual evaluation results are models obtained by reference to the World Health Organization standards. To make the assessment more scientifically based, and to make the assessment results based on individual and comprehensive assessments. Plus rich, you can easily implement family-health assessment and risk assessment.

Among them, the single evaluation model is derived according to the standards recognized by the World Health Organization or domestic health organizations. For example, body weight is judged according to the standard BMI (Body Mass Index); blood pressure is based on the Chinese Ministry of Health and the World Health Organization. The high blood pressure grading model was evaluated; sleep was evaluated according to factors such as deep sleep and light sleep, combined with breathing and heart rate. A single weight assessment model based on standard BMI, including factors such as height, age, gender, waist and hip circumference, etc. If the measurement results include body fat, the BMI is reversed by comparing the body fat to the standard body fat percentage range. Value, combined with relevant influencing factors to calculate the results.

According to the above health assessment system of the present invention, it is also possible to have the following technical features:

In the above technical solution, preferably, the health assessment unit is specifically configured to: adjust at least one single evaluation result according to the period measurement data; and obtain the comprehensive evaluation result according to the preset single evaluation result according to the preset formula. The default formula is

Where, Z is a comprehensive assessment of the results, X _i is at least one single assessment, q is at least one single assessment of severity weights.

In the technical solution, the health assessment unit optimizes at least one single evaluation result according to the period measurement data, and obtains the comprehensive evaluation result according to the preset formula and the optimized at least one single evaluation result, and the preset formula is

Where Z is the comprehensive assessment result, X _i is at least one individual assessment result, and q is the severity weight of at least one individual assessment result, when a single assessment result indicates that the user is unhealthy, such as weight, blood pressure Or any of the evaluation results in sleep is unhealthy, and the overall assessment will be based on the main part of the assessment.

In any one of the above technical solutions, preferably, the health assessment unit is configured to: obtain, according to an average value of the period measurement data, a fluctuation condition of at least one single evaluation result; and obtain at least the variance or the mean square error of the period measurement data to obtain at least The trend of a single assessment; adjust at least one individual assessment based on fluctuations and trends. Preferably, the period measurement data includes daily measurement data, weekly measurement data, monthly measurement data, quarterly measurement data, and annual measurement data.

In this technical solution, for the continuous measurement situation, the evaluation result is corrected according to the variance variance, VAR (or mean square error, MSE) of the latest consecutive N parameters, that is, the fluctuation condition. For continuous measurement for one week, or one month, the weekly or monthly variance or mean square error is continuously calculated based on the daily mean (or peak, valley, etc.) data to obtain fluctuations, and the results are based on variance or mean square error. Correction and trend determination. The annual results will be calculated based on the weekly mean (or peak, valley, etc.) to calculate the variance or mean square error. Among them, the analysis of weekly, monthly and annual is mainly to evaluate the trend and analyze the diet, exercise and related habits of a certain period of time, and correct the results. Give a more accurate assessment of the user's health status.

In any of the above technical solutions, preferably, the at least one health data comprises one or a combination of the following: body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise.

In this technical solution, the user can evaluate health data such as body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise, etc. at home, eliminating the need for health assessments that must be performed at the hospital for physical examination, and testing through daily health parameters. Home-based health assessments and risk assessments can be achieved with customary records.

In any of the above technical solutions, preferably, the comprehensive evaluation result includes the following one or a group thereof Combination: scores, data analysis results, lifestyle habits, disease risk tips, trend analysis, life improvement programs.

In the technical solution, the analysis results include scoring, data analysis, inference of past living habits (diet, exercise, lifestyle, etc.), disease risk warning, body weight and blood pressure trend analysis, and subsequent improvement programs corresponding to current living conditions. Such as diet, exercise, sleep, etc., so that users get a variety of health information, help users develop healthy living habits, and improve user satisfaction.

According to still another object of the present invention, a server is provided, comprising: the health assessment system according to any of the above.

The server provided by the present invention comprises a health assessment system, wherein the data receiving unit receives one or more health data of body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise, and the health data can be manually entered or Intelligent hardware (such as weight scale, body fat scale, sphygmomanometer, blood glucose meter, blood lipid meter, ECG sticker, smart bracelet, etc.) is automatically measured. The health assessment unit obtains this item based on one or more health data. Or one or more individual evaluation results of a plurality of health data, the single evaluation results are optimized by the period measurement data, and the severity of one or more individual evaluation results is weighted to obtain a comprehensive evaluation result, and the result sending unit The results of the comprehensive evaluation are sent to the mobile APP or sent to the smart home appliances in the home range for presentation and/or execution, and the results are more convenient, so that the user can have an insight into the family and his or her health status at any time. The single evaluation result is referred to the World Health Organization. The model obtained by the standard makes the assessment more scientifically based on individual items and comprehensive Assessment, the assessment is more abundant, can easily achieve family-health assessment and risk assessment.

Additional aspects and advantages of the invention will be apparent from the description of the invention.

DRAWINGS

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from

1 is a flow chart showing a method for health assessment of a server according to an embodiment of the present invention;

2 shows a schematic block diagram of a health assessment system for a server in accordance with one embodiment of the present invention;

3 is a schematic block diagram of a health assessment system for a server in accordance with an embodiment of the present invention;

Figure 4 is a schematic illustration of an initial model of blood pressure in accordance with an embodiment of the present invention;

Figure 5 is a flow chart showing the matching of the health assessment model of one embodiment of the present invention;

Figure 6 is a schematic illustration of the operational steps of a health management system in accordance with an embodiment of the present invention;

FIG. 7 is a schematic structural diagram of a health management system of a specific embodiment of the present invention;

FIG. 8 is a schematic structural diagram of a health management system of a specific embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a health management system combining a smart terminal and a cloud server according to an embodiment of the present invention.

detailed description

The present invention will be further described in detail below with reference to the drawings and specific embodiments. It should be noted that the embodiments in the present application and the features in the embodiments may be combined with each other without conflict.

In the following description, numerous specific details are set forth in order to facilitate a full understanding of the invention, but the invention may be practiced in other embodiments than described herein. Limitations of the embodiments.

An embodiment of the first aspect of the present invention provides a health assessment method for a server. FIG. 1 is a flow chart showing a method for health assessment of a server according to an embodiment of the present invention:

Step 102: Receive at least one piece of health data.

Step 104: Obtain at least one single evaluation result according to at least one health data;

Step 106: Acquire comprehensive evaluation results according to at least one single evaluation result and periodic measurement data;

Step 108, sending the comprehensive evaluation result to the smart device for presentation by the smart device and/or Perform a comprehensive assessment of the results.

The health assessment method provided by the invention receives one or more health data of body weight, body fat, blood pressure, blood sugar, blood lipid, heart rate, sleep, exercise, and the health data can be manually entered or by intelligent hardware (such as a weight scale, Body fat scale, sphygmomanometer, blood glucose meter, blood lipid meter, ECG sticker, smart bracelet, etc.) automatically measured, based on one or more health data, one or more corresponding to one or more health data The result of the individual item evaluation is optimized by the periodic measurement data, and the severity of one or more individual evaluation results is weighted, and the comprehensive evaluation result is obtained, and the comprehensive evaluation result is sent to the mobile APP or sent to the home range. The results are presented and/or executed on the smart home appliances, and the results are more convenient, so that the user can have an insight into the family and their health status at any time. The single evaluation result is a model obtained by reference to the World Health Organization standard, so that the evaluation is more scientifically based, according to Single and comprehensive assessments to enrich assessment results and facilitate family-based health Assessment and risk assessment.

Among them, the single evaluation model is derived according to the standards recognized by the World Health Organization or domestic health organizations. For example, body weight is judged according to the standard BMI (Body Mass Index); blood pressure is based on the Chinese Ministry of Health and the World Health Organization. The high blood pressure grading model was evaluated; sleep was evaluated according to factors such as deep sleep and light sleep, combined with breathing and heart rate. A single weight assessment model based on standard BMI, including factors such as height, age, gender, waist and hip circumference, etc. If the measurement results include body fat, the BMI is reversed by comparing the body fat to the standard body fat percentage range. Value, combined with relevant influencing factors to calculate the results.

In an embodiment of the present invention, preferably, in step 106, the step of obtaining the comprehensive evaluation result according to the at least one single evaluation result and the period measurement data includes:

Step 162: Adjust at least one single evaluation result according to the period measurement data;

In step 164, according to the adjusted single item evaluation result, the comprehensive evaluation result is obtained according to the preset formula.

The default formula is

Where, Z is a comprehensive assessment of the results, X _i is at least one single assessment, q is at least one single assessment of severity weights.

In this embodiment, at least one single evaluation result is optimized according to the period measurement data, and the comprehensive evaluation result is obtained according to the preset formula and the optimized at least one single evaluation result, and the preset formula is

Where Z is the comprehensive assessment result, X _i is at least one individual assessment result, and q is the severity weight of at least one individual assessment result, when a single assessment result indicates that the user is unhealthy, such as weight, blood pressure Or any of the evaluation results in sleep is unhealthy, and the overall assessment will be based on the main part of the assessment.

In an embodiment of the present invention, preferably, in step 162, the step of adjusting at least one single evaluation result according to the period measurement data comprises: obtaining the fluctuation of the at least one individual evaluation result according to the average value of the period measurement data Obtaining a trend of at least one individual evaluation result according to the variance or mean square error of the period measurement data; adjusting at least one individual evaluation result according to the fluctuation situation and the change trend. Preferably, the period measurement data includes daily measurement data, weekly measurement data, monthly measurement data, quarterly measurement data, and annual measurement data.

In this embodiment, for the continuous measurement case, the evaluation result is corrected according to the variance variance, VAR (or mean square error, MSE) of the latest consecutive N parameters, that is, the fluctuation condition. For continuous measurement for one week, or one month, the weekly or monthly variance or mean square error is continuously calculated based on the daily mean (or peak, valley, etc.) data to obtain fluctuations, and the results are based on variance or mean square error. Correction and trend determination. The annual results will be calculated based on the weekly mean (or peak, valley, etc.) to calculate the variance or mean square error. Among them, the analysis of weekly, monthly and annual is mainly to evaluate the trend and analyze the diet, exercise and related habits of a certain period of time, and correct the results. Give a more accurate assessment of the user's health status.

In one embodiment of the invention, preferably, the at least one health data comprises one or a combination of the following: body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep, exercise.

In this embodiment, the user can evaluate health data such as body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep, exercise, etc. at home, eliminating the need for health assessments that must be performed at the hospital for physical examination, and testing through daily health parameters. Home-based health assessments and risk assessments can be achieved with customary records.

In an embodiment of the present invention, preferably, the comprehensive evaluation result includes one or a combination of the following: a score, a data analysis result, a lifestyle estimation result, a disease risk reminder, a trend analysis, and a life improvement program.

In this embodiment, the analysis results include scoring, data analysis, inference of past living habits (diet, exercise, lifestyle, etc.), disease risk warning, weight and blood pressure, and the like, and Subsequent improvement programs corresponding to current living conditions, such as diet, exercise, sleep, etc., enable users to obtain a variety of health information, which contributes to the development of healthy living habits of users and enhances user satisfaction.

An embodiment of the second aspect of the present invention provides a health assessment system 200 for a server, and FIG. 2 shows a schematic block diagram of a health assessment system 200 for a server in accordance with one embodiment of the present invention:

The data receiving unit 202 is configured to receive at least one piece of health data;

The health evaluation unit 204 is configured to obtain at least one single evaluation result according to the at least one health data; and obtain the comprehensive evaluation result according to the at least one single evaluation result and the period measurement data;

The result sending unit 206 is configured to send the comprehensive evaluation result to the smart device for the smart device to present and/or perform the comprehensive evaluation result.

According to the health assessment system 200 provided by the present invention, the data receiving unit 202 receives one or more health data of body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise, and the health data can be manually entered or by intelligent hardware. (such as weight scale, body fat scale, sphygmomanometer, blood glucose meter, blood lipid meter, ECG sticker, smart bracelet, etc.) automatically measured, the health assessment unit 204 according to one or more health data, corresponding to this item or The result of one or more individual evaluations of the plurality of health data, the single evaluation result is optimized by the period measurement data, and the severity of the one or more individual evaluation results is weighted to obtain a comprehensive evaluation result, and the result sending unit 206 The results of the comprehensive evaluation are sent to the mobile APP or sent to the smart home appliances in the home range for presentation and/or execution, and the results are more convenient, so that the user can have an insight into the family and his or her health status at any time. The single evaluation result is referred to the World Health Organization. The model obtained by the standard makes the assessment more scientifically based, based on individual and comprehensive assessments. Assessment results are more abundant, can easily achieve family-health assessment and risk assessment.

Among them, the single evaluation model is derived according to the standards recognized by the World Health Organization or domestic health organizations. For example, body weight is judged according to the standard BMI (Body Mass Index); blood pressure is based on the Chinese Ministry of Health and the World Health Organization. The high blood pressure grading model was evaluated; sleep was evaluated according to factors such as deep sleep and light sleep, combined with breathing and heart rate. A single weight assessment model based on standard BMI, including height, age, gender, and waist Influencing factors such as hip circumference, if the measurement results include body fat, the body fat is compared with the standard body fat percentage range, and the BMI value is reversed, and the relevant influencing factors are combined to calculate the result.

In an embodiment of the present invention, preferably, the health assessment unit 204 is configured to: adjust at least one single item evaluation result according to the period measurement data; according to the adjusted at least one single item evaluation result, according to a preset formula, Obtain comprehensive assessment results; the default formula is

Where, Z is a comprehensive assessment of the results, X _i is at least one single assessment, q is at least one single assessment of severity weights.

In this embodiment, the health assessment unit 204 optimizes at least one single evaluation result according to the period measurement data, and obtains the comprehensive evaluation result according to the preset formula and the optimized at least one single evaluation result, and the preset formula is

Where Z is the comprehensive assessment result, X _i is at least one individual assessment result, and q is the severity weight of at least one individual assessment result, when a single assessment result indicates that the user is unhealthy, such as weight, blood pressure Or any of the evaluation results in sleep is unhealthy, and the overall assessment will be based on the main part of the assessment.

In an embodiment of the present invention, preferably, the health assessment unit 204 is configured to: obtain, according to an average value of the period measurement data, a fluctuation condition of at least one single evaluation result; and measure a variance or a mean square error of the data according to the period, Obtain the trend of at least one individual assessment result; adjust at least one individual assessment result based on fluctuations and trends. Preferably, the period measurement data includes daily measurement data, weekly measurement data, monthly measurement data, quarterly measurement data, and annual measurement data.

In this embodiment, for the continuous measurement case, the evaluation result is corrected according to the variance variance, VAR (or mean square error, MSE) of the latest consecutive N parameters, that is, the fluctuation condition. For continuous measurement for one week, or one month, the weekly or monthly variance or mean square error is continuously calculated based on the daily mean (or peak, valley, etc.) data to obtain fluctuations, and the results are based on variance or mean square error. Correction and trend determination. The annual results will be calculated based on the weekly mean (or peak, valley, etc.) to calculate the variance or mean square error. Among them, the analysis of weekly, monthly and annual is mainly to evaluate the trend and analyze the diet, exercise and related habits of a certain period of time, and correct the results. Give a more accurate assessment of the user's health status.

In one embodiment of the invention, preferably, the at least one health data comprises one or a combination of the following: body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep, exercise.

In this embodiment, the user can evaluate health data such as body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep, exercise, etc. at home, eliminating the need for health assessments that must be performed at the hospital for physical examination, and testing through daily health parameters. Home-based health assessments and risk assessments can be achieved with customary records.

In an embodiment of the present invention, preferably, the comprehensive evaluation result includes one or a combination of the following: a score, a data analysis result, a lifestyle estimation result, a disease risk reminder, a trend analysis, and a life improvement program.

In this embodiment, the analysis results include scoring, data analysis, inference of past living habits (diet, exercise, lifestyle, etc.), disease risk warning, body weight and blood pressure trend analysis, and subsequent improvement programs corresponding to current living conditions. Such as diet, exercise, sleep, etc., so that users get a variety of health information, help users develop healthy living habits, and improve user satisfaction.

An embodiment of the third aspect of the present invention provides a server comprising: the health assessment system 200 of any of the above.

The server provided by the present invention includes a health assessment system 200, wherein the data receiving unit 202 receives one or more health data of body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise, and the health data can be manually entered. Or automatically measured by intelligent hardware (such as weight scale, body fat scale, blood pressure meter, blood glucose meter, blood lipid meter, ECG sticker, smart bracelet, etc.), the health assessment unit 204 obtains corresponding according to one or more health data. One or more individual evaluation results of the one or more health data, the single evaluation results are optimized by the period measurement data, and the severity of one or more individual evaluation results is weighted to obtain a comprehensive evaluation result. The result sending unit 206 sends the comprehensive evaluation result to the mobile phone APP or sends it to the smart home appliance in the home range to perform the result presentation and/or execution, and the present result is more convenient, so that the user can have an insight into the family and the health status at any time, and the single evaluation result is Refer to the model obtained by the World Health Organization standards to make the assessment more scientifically based, according to the single And comprehensive evaluation, the evaluation results more abundant, can easily achieve family-health assessment and risk assessment.

In a specific embodiment of the present invention, as shown in FIG. 3, the health assessment system 300 includes data collection. The module 302, the data management module 304, the single item or integrated health assessment module 306, the data local or cloud storage module 308, and the results presentation execution module 310.

The system includes a single or multiple data collection modules 302, such as a weight scale, a body fat scale, a blood pressure meter, a blood glucose meter, a blood lipid meter, a heart rate sticker, and the like. The health data may be automatically acquired by the smart data collection module 302, or may be obtained by an external medical examination unit (which may be a health data report, etc.), and then manually entered into the single-item or comprehensive health assessment module 306. The data management module 304 is configured to collect and record health data, and synchronize to the cloud storage 308.

The single or integrated health assessment module 306 includes a single assessment model of health parameters such as body weight, body fat, blood pressure, blood glucose, blood lipids, heart rate, sleep, exercise, and a comprehensive assessment model of different health parameter combinations. The individual assessment model is derived from criteria recognized by the World Health Organization or domestic health organizations. For example, body weight is judged according to the standard BMI (Body Mass Index); blood pressure is based on the Chinese Ministry of Health and the World Health Organization. The high blood pressure grading model was evaluated; sleep was evaluated according to factors such as deep sleep and light sleep, combined with breathing and heart rate. A single weight assessment model based on standard BMI, including factors such as height, age, gender, waist and hip circumference, etc. If the measurement results include body fat, the BMI is reversed by comparing the body fat to the standard body fat percentage range. Value, combined with relevant influencing factors to calculate the results. If the user insists on one week, one month, and one year, the evaluation model will give more accurate judgments according to different recording frequencies, measurement periods, and the average value, variance, and mean square error of the measurement results. If there are different parameters at the same time, such as weight and blood pressure, the output results will be inferred according to the single parameter model, and then the models with different weights will be selected according to the severity of the analysis results of the individual items, and the comprehensive results will be analyzed.

Specifically, for body weight, the initial model of body weight is interval division according to the BMI standard. The range of domestically recognized adult BMI ranges is shown in Table 1:

Table 1

description	BMI interval
Too light	BMI<18.5
normal	18.5 ≤ BMI < 25
too heavy	25≤BMI<28
obesity	BMI>28

The initial model is based on BMI in different intervals, whether the body weight is normal or abnormal, and gender differences. The initial evaluation model is divided into three interval segments, as shown in Table 2:

Table 2

When the measurement results only have the weight (with height) parameters, the evaluation model uses the initial model. That is, the initial weight model is a function of BMI and can be expressed as:

Body weight model 1: Result1 = f (BMI), where f () represents a function;

Age (Age) and Waist-to-Hip Ratio (WHR) are not considered in the initial model. When considering relevant parameters, the weight evaluation result is a model of relevant parameters, namely:

Weight Model 2: Result2=f(BMI, Age, WHR);

Because the results of weight assessment based solely on BMI are not completely accurate, for users measuring body fat, the results of the assessment will be corrected according to Body-Fat-Rate (BFR). Can be expressed simply as:

Weight Model 3: Result3=f(Result2, BFR);

Weight model based on standard BMI for weight assessment, including factors such as height, age, gender, waist and hip circumference. If the measurement results include body fat, the BMI is reversed by comparing the body fat to the standard body fat percentage range. Value, combined with relevant influencing factors to calculate the results.

For continuous measurement, the health assessment results are corrected based on the variance, VAR (or mean square error, MSE) of the latest consecutive N parameters, ie, fluctuations. For continuous measurement of one week or one month, the weekly or monthly variance or mean square error is continuously calculated according to the daily mean (or peak, valley, etc.) data to obtain the fluctuation and according to the variance. Or the mean square error is used to correct the results and the trend determination health assessment results. The annual assessment will give a health assessment based on the weekly mean (or peak, valley, etc.) to calculate the variance or mean square error. Among them, the analysis of weekly, monthly and annual is mainly to assess the trend and analyze the diet, exercise and related habits of a certain period of time, and to correct the results of the health assessment.

Specifically, for blood pressure, the initial model of blood pressure is evaluated according to the Chinese National Health Ministry and the World Health Organization's hypertension classification model. As shown in Figure 4, the blood pressure measurement results are defined according to the authority of the World Health Organization. The ideal blood pressure is 120mmHg at a low pressure of 80mmHg. Table 3 shows the classification and definition of blood pressure levels:

table 3

The systolic blood pressure shown in Table 3 indicates high pressure, and the diastolic blood pressure indicates low pressure. It can be seen that the table is the same as the blood pressure measurement result defined by the authority of the World Health Organization. The high pressure 120 mmHg low pressure 80 mmHg is used as the boundary between the normal blood pressure and the normal high blood pressure. According to the above table, when the high pressure and low pressure data fall on different modules, different evaluation results will be given, resulting in discontinuous evaluation results, and the measured blood pressure data are 121/80 (high pressure/low pressure) and 129/ respectively. At 85 o'clock, the evaluation results obtained are the same. Therefore, as shown in Table 4, the evaluation results can be firstly given in a continuous model by modeling, and the corresponding results are given, that is, the evaluation results are high pressure and low pressure. The related function, so the blood pressure model can be expressed as:

Blood pressure model 1: Result1 = g (G, D), where G is high pressure, D is low pressure, g () Representation function

However, since hypertension is also related to pulse pressure difference, blood pressure fluctuation, and blood pressure trend, it is possible to consider the number of measurements N (used to calculate fluctuations, ie, variance VAR), pulse pressure difference PP, and other related parameters that have an effect on blood pressure assessment results. The relevant results of the evaluation will be corrected, that is, the blood pressure model can be expressed as:

Blood pressure model 2: Result2 = g (Result1, N, PP, VAR);

Table 4

Similarly, according to the number of consecutive measurements and the period, the measurement results are more accurately corrected based on historical measurement results, and the specific correction method is the same as the weight data.

Specifically, for sleep, it is evaluated according to influence factors such as deep sleep, light sleep, breathing, heart rate, body motion, and snoring, and comprehensively evaluates sleep state and sleep quality, that is, the evaluation result is a function of the above parameters or Each parameter is related.

In a specific embodiment of the present invention, if the health parameter in the user health parameter information includes two types, such as body weight and body fat, the matched single parameter health assessment model includes a body weight model and a body fat model, and the matched multi-parameter health model is weight. The body fat model, that is, the last matched health assessment model is three; if the health parameter in the user health parameter information contains three types, such as body weight, body fat, and blood pressure, the matched one-parameter health assessment model includes the body weight model, body The lipid model and the blood pressure model, the matched multi-parameter health model may include the body weight body fat model, the body weight blood pressure model, the body fat blood pressure model, and the body weight fat blood pressure model, that is, the final matched health assessment model is up to seven, and so on. When the health parameter of the user health parameter information includes n types, the last matched health assessment model is at most 2 ⁿ -1 . FIG. 5 shows a matching flowchart of the health assessment model in a specific embodiment. The user health parameter information given in FIG. 5 has at least four health parameters, which may include body weight, body fat, blood pressure, and sleep. The parameter type selects the single parameter health assessment model, namely the body weight model, the body fat model, the blood pressure model, and the sleep model. According to the number of single parameter health assessment models, a multi-parameter health assessment model is obtained, including the weight blood pressure model, the weight sleep model, and sleep. The blood pressure model and the weight and blood pressure model have comprehensively evaluated a variety of health parameters, providing users with a more standard health reference. The working steps of the health management system of the present invention are preferably as shown in FIG. 6, obtaining health data, judging the type and number of data, and the data types are body weight data, body fat data, blood pressure data, exercise data, etc., and automatic selection and evaluation. The solution, the evaluation score or the evaluation result is obtained according to the evaluation plan, and is presented by the smart terminal or the smart device, and the evaluation result is also sent by the smart terminal to the smart device for execution.

The multi-parameter health assessment model can be pre-built, or it can be first judged which health parameters are collected, and then comprehensively evaluated according to the single-parameter evaluation results of different single-parameter health assessment models. The comprehensive assessment will assign different proportions based on the severity of the single-parameter assessment to arrive at a comprehensive assessment. In a specific application, the calculation formula for a comprehensive evaluation result is:

Comprehensive evaluation result = a × body weight result + b × blood pressure result + c × sleep result, wherein a, b, c represent the proportion assigned to the single parameter evaluation result, specifically, the calculation parameter of the comprehensive evaluation result is not limited to this calculation formula Can also include parameters such as blood lipids, blood sugar, etc., and have assigned to single parameter evaluation results proportion.

When an assessment results indicate that the user is unhealthy, such as weight, blood pressure, or sleep, any of the assessment results are unhealthy. In the comprehensive assessment results, the majority is evaluated. The comprehensive evaluation can be combined according to specific parameters, or multiple combinations. The combination method is related to the number and type of parameters collected. This part has been discussed before and will not be described here. The results of the comprehensive assessment will also take into account the state of long-term measurements, and adjust the assessment results based on the trends and fluctuations of each item.

The results of the assessment include scoring, data analysis, inference of past lifestyle habits (diet, exercise, lifestyle, etc.), disease risk warnings, trend analysis of body weight and blood pressure, and follow-up improvement programs corresponding to current living conditions, such as diet, exercise, and sleep. Wait. The evaluation algorithm considers the factors such as the average value, the variance, the mean square error, and the like for a single time and a continuous period (day, week, month, year). For the above-mentioned trend determination, it may include assessment of the risk of disease such as body type determination, hypertension, and hyperglycemia.

The system data storage of the present invention is that the cloud is synchronized to the cloud through the terminal or automatically synchronized to the cloud storage through the health parameter collection device, provided that the health parameter collection device has wifi or Zigbee, and the result presentation execution module 310 can be a health management software or a related smart home appliance. (such as terminals, computers, refrigerators, air conditioners, treadmills, etc.). The evaluation results can be displayed on the health management software of the terminal. After the presentation, the evaluation results can be sent to the relevant smart home appliances, and the control device can complete the related work. At the same time, the relevant smart home appliances can automatically obtain the evaluation results from the cloud to display the evaluation. Results and perform related work.

The work of the relevant smart device includes presenting the evaluation results, automatically starting the work, presenting the evaluation results including current data analysis results, speculative habits and disease risks, and interesting trend analysis (such as body type). Automated work may refer to, for example, the refrigerator recommending a preferred combination scheme according to the current refrigerator ingredients, or recommending a healthy diet plan that should be executed according to the evaluation result, presenting ingredients that are not currently in the refrigerator, but can make one-click purchases online. Automatic work can also refer to, for example, a treadmill, based on exercise data and past living habits, and the laws of movement, and whether the user is at home. State, automatically start the treadmill, adjust the appropriate speed and perform the current best exercise program (slow walking, jogging, brisk walking, fast running, etc.).

Specifically, the above refrigerator automatically works, firstly, the refrigerator has wifi and a display screen, and the refrigerator can automatically obtain single item and comprehensive evaluation results of health parameters such as cloud body weight, body fat, blood pressure, blood sugar, blood fat, heart rate, sleep, exercise, etc., and The result is presented on the display. The results can be displayed in various forms such as curves, histograms, pie charts, texts, etc., or can be displayed by image animation (for example, according to a certain period of time measurement and analysis, through the gradual change of body shape, it shows that the body weight starts to increase or the body weight gradually decreases. Small, etc.). The evaluation results are presented, and the related dietary plan recommended according to the above evaluation results, and the dietary plan can be combined with the existing ingredients of the refrigerator to introduce a limited selection of combinations or recipes, namely: recipe plan = h (evaluation result, refrigerator ingredients).

In addition, the evaluation results can clearly give the amount of nutrients and corresponding nutrient elements that the user needs to consume every day, and analyze the amount of corresponding nutrients according to the amount of the remaining ingredients of the refrigerator, provided that the refrigerator has a camera or three-dimensional Scan, you can clearly distinguish the volume of different ingredients in the refrigerator and the type of ingredients, and then estimate the weight, and according to the type and weight of the ingredients combined with the amount of ingredients in the cloud food nutrition database and the amount of different nutrients in the refrigerator, such as How much protein, how much fat, how much starch, etc. If the corresponding nutrient elements of the refrigerator are not enough to maintain the amount of the user's intake in the evaluation results, the refrigerator display can automatically recommend ingredients rich in corresponding nutrients, and support one-click orders. Automatic delivery and other functions.

Among them, the refrigerator should also support the voice search function, you can search for different improvement programs, such as sleep improvement diet program, blood pressure improvement diet program. In addition, through voice recognition or image recognition, the identity of the user who knows the solution is judged, and the result of the user is presented. Usually, the recommended family health result and diet plan are presented according to the health status of the family.

Specifically, the treadmill automatically works, and the treadmill has wifi (automatically connecting to the cloud to obtain health data), a display screen, and an identification function, and determines whether a user is at home through infrared, voice or related functions, and simultaneously determines the user at home by using the image recognition function. Who, according to the user at home, combined with the use By acquiring the health assessment results of the cloud (including health data, treadmill usage habits, etc.), the user automatically starts at a specific time period and sends a message to the user terminal, or a bracelet to remind the movement; at the same time, according to the user's recent A section of health data, set the speed of the appropriate user, adjust the speed according to the change of the data such as the center rate of the exercise process, and automatically recommend the appropriate length of exercise according to the health data. When the exercise time is up, it automatically closes and sends out the initiative. Remind that if the treadmill does not detect that the person is at home, it will not start. And according to the identification of different people, automatically adjust to the user's movement rhythm.

During the self-starting process, the treadmill will identify different users and display the health assessment results of the user for the most recent period of time. The presentation results can be displayed in various forms such as curves, histograms, pie charts, and texts. It can also be displayed by image animation (for example, according to a certain period of time measurement and analysis, through the gradual change of body shape, showing that the weight begins to increase or the body weight gradually decreases, etc.). The presenting result also includes automatically adjusting the exercise rhythm according to the above evaluation result, the recommended related exercise plan and the precautions.

Preferably, the health parameters in the present invention include body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate (heart rate variability), sleep, exercise, and the like.

Preferably, in the present invention, the health parameter collection adopts the above-mentioned health parameter collection device, such as a body fat scale, a blood pressure meter, a blood glucose meter, a blood lipid meter, a smart bracelet, a heart rate sticker, a sleep detection device, etc., and is also compatible with manual entry; health parameters The collection device should have wireless data transmission functions such as Bluetooth or wifi and Zigbee.

Preferably, the health assessment model includes a single evaluation model of the above health parameters and a combination model between the individual items, and the evaluation model is stored in the form of a library on the data management module 304, or may be stored in the cloud, and the measured data is collected. Automatically judge the type and number of data, complete single evaluation and comprehensive evaluation.

Preferably, the result is an execution module, which may be a result of the terminal APP presentation, or may be a smart home appliance, such as a smart refrigerator, a smart air conditioner, a treadmill, or the like. Result presentation module to be packaged Data wireless communication module including Bluetooth, wifi or Zigbee.

In one embodiment of the present invention, a user has a weight scale, a sphygmomanometer, a BMI index and an international blood pressure grading method, and a single and comprehensive evaluation model based on body weight and blood pressure, and the user can obtain a weight by a single measurement of body weight. Results; blood pressure assessment results can be obtained by a single measurement of blood pressure; comprehensive assessment results can be obtained based on measured body weight and blood pressure. Among them, if the user continuously monitors the health parameters for a period of time, the evaluation results are corrected and the trend is judged based on the average, variance, and mean square error to determine the fluctuations and trend changes, and all the evaluation results are presented in the supporting APP of the smart terminal. It is convenient for users to view and guide the daily life of users.

In a specific embodiment of the present invention, the health management system of the present invention may be only a smart terminal or a cloud server, or may be a combination of a smart terminal and a cloud server. FIG. 7 shows that the health management system is a smart terminal. A structural schematic diagram, the health data is detected by the health detecting device, and sent to the smart terminal through the Bluetooth function. The smart terminal includes the above-mentioned health assessment system or an APP equipped with a health assessment system, and is evaluated according to the health data to obtain a comprehensive evaluation result. And through the Bluetooth function to send to smart home appliances, smart home appliances include treadmills, smart refrigerators, smart air conditioners, etc. Smart home appliances display comprehensive evaluation results on the display screen, and automatically enter the response work model according to the comprehensive evaluation results. FIG. 8 is a schematic structural diagram of the health management system as a cloud server. The health detection device detects the health data and sends the data to the cloud server through the Wifi. The cloud server includes the above-mentioned health assessment system, and is evaluated according to the health data to obtain a comprehensive evaluation. As a result, it is sent to the smart home appliance through Wifi. The smart home appliance includes a treadmill, a smart refrigerator, a smart air conditioner, etc., and the smart home appliance displays the comprehensive evaluation result on the display screen, and automatically enters the working model of the response according to the comprehensive evaluation result. The health management system shown in FIG. 9 is a schematic structural diagram of a combination of an intelligent terminal and a cloud server. The health detection device detects the health data and sends the data to the smart terminal through the Bluetooth function. The smart terminal includes the above health assessment system or is installed with a health assessment. The APP of the system displays the detected health data and evaluates it, or transmits the health data to the cloud server. The cloud server includes the above-mentioned health assessment system, and the cloud server evaluates according to the health data to obtain a comprehensive The evaluation result is sent to the intelligent terminal, and the smart terminal is sent to the smart home appliance through the Bluetooth function. The smart home appliance includes a treadmill, a smart refrigerator, a smart air conditioner, etc., and the smart home appliance displays the comprehensive evaluation result on the display screen, and according to the comprehensive evaluation The result automatically enters the working model of the response to work. Among them, smart terminals include mobile phones, computers (desktop computers, tablet computers, notebook computers, handheld computers, etc.).

The invention is based on the health parameter information of the user, and the current user health assessment result can be obtained through the health assessment model, and the corrected user health assessment result of the user in a specific time period can also be obtained, so that the user's health assessment result is more accurate. It is more instructive and eliminates the need for health guidance that users must go to the hospital for medical examination. Through daily health parameter testing, family-style health assessment and health knowledge guidance can be realized, and health conditions can be monitored in real time.

In the description of the present specification, the description of the terms "one embodiment", "some embodiments", "specific embodiments" and the like means that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples are included in the present invention. At least one embodiment or example. In the present specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in a suitable manner in any one or more embodiments or examples.

The above description is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims (13)

1. A health assessment method for a server, comprising:

   Receiving at least one health data;

   Obtaining at least one individual evaluation result according to the at least one health data;

   Obtaining a comprehensive evaluation result according to the at least one individual evaluation result and the period measurement data;

   The integrated assessment results are sent to the smart device for the smart device to present and/or perform the comprehensive assessment results.
2. The health assessment method according to claim 1, wherein the step of obtaining the comprehensive evaluation result according to the at least one single evaluation result and the periodic measurement data comprises:

   Adjusting the at least one individual evaluation result according to the period measurement data;

   Obtaining the comprehensive evaluation result according to the preset formula according to the adjusted at least one individual evaluation result;

   The preset formula is

   

   Where Z is the comprehensive evaluation result, X _i is the at least one individual evaluation result, and q is the severity weight of the at least one individual evaluation result.
3. The health assessment method according to claim 2, wherein the step of adjusting the at least one individual evaluation result according to the period measurement data comprises:

   Obtaining fluctuations of the at least one individual evaluation result according to an average value of the period measurement data;

   Obtaining a change trend of the at least one single item evaluation result according to the variance or the mean square error of the period measurement data;

   And adjusting the at least one single item evaluation result according to the fluctuation condition and the change trend.
4. The health assessment method according to any one of claims 1 to 3, wherein the period measurement data includes daily measurement data, weekly measurement data, monthly measurement data, quarterly measurement data, and annual measurement data.
5. The health assessment method according to any one of claims 1 to 3, wherein the at least one health data comprises one or a combination of the following: body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep ,motion.
6. The health assessment method according to any one of claims 1 to 3, wherein the comprehensive evaluation result comprises one or a combination of the following: a score, a data analysis result, a living habit inference result, a disease risk prompt, a trend Analysis, life improvement program.
7. A health assessment system for a server, comprising:

   a data receiving unit, configured to receive at least one piece of health data;

   a health evaluation unit, configured to obtain at least one single evaluation result according to the at least one health data; and obtain a comprehensive evaluation result according to the at least one single evaluation result and the periodic measurement data;

   And a result sending unit, configured to send the comprehensive evaluation result to the smart device, where the smart device presents and/or performs the comprehensive evaluation result.
8. The health assessment system according to claim 7, wherein the health assessment unit is specifically configured to:

   Adjusting the at least one individual evaluation result according to the period measurement data;

   Obtaining the comprehensive evaluation result according to the preset formula according to the adjusted at least one individual evaluation result;

   The preset formula is

   

   Where Z is the comprehensive evaluation result, X _i is the at least one individual evaluation result, and q is the severity weight of the at least one individual evaluation result.
9. The health assessment system according to claim 8, wherein the health assessment unit is specifically configured to:

   Obtaining fluctuations of the at least one individual evaluation result according to an average value of the period measurement data;

   Obtaining a change trend of the at least one single item evaluation result according to the variance or the mean square error of the period measurement data;

   And adjusting the at least one single item evaluation result according to the fluctuation condition and the change trend.
10. The health assessment system according to any one of claims 7 to 9, wherein the period measurement data includes daily measurement data, weekly measurement data, monthly measurement data, quarterly measurement data, and annual measurement data.
11. The health assessment system according to any one of claims 7 to 9, wherein the at least one health data comprises one or a combination of the following: body weight, body fat, blood pressure, blood sugar, blood lipids, heart rate, sleep ,motion.
12. The health assessment system according to any one of claims 7 to 9, wherein the comprehensive evaluation result comprises one or a combination of the following: scoring, data analysis result, living habit inference result, disease risk prompt, trend Analysis, life improvement program.
13. A server, comprising:

    A health assessment system according to any one of claims 7 to 12.

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