CN114068042A - Health management platform and management method based on wearable intelligent terminal - Google Patents
Health management platform and management method based on wearable intelligent terminal Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Abstract
The wearable intelligent terminal, a background server of the wearable intelligent terminal, a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform interact in multiple platforms, comprehensive operation is performed, health monitoring, disease early screening and health portrait are provided for individuals or families, body-building and exercise suggestions are calculated and monitored by combining detection results, and all-round individual or family health management and monitoring such as diet suggestions are provided by combining body indexes and exercise intensity.
Description
Technical Field
The invention belongs to the technical field of intelligent health management, and particularly relates to a health management platform and a health management method based on a wearable intelligent terminal.
Background
Since the twenty-first century, people are more and more concerned about health problems with the continuous development of economic levels, and a great deal of time and money are spent on health-related expenses. Products are dressed to intelligence on the existing market like intelligent wrist-watch, intelligent bracelet, old man's wrist-watch, children's wrist-watch, parts such as motion wrist-watch or whole have following problem: most of the physical indexes such as body temperature, heart rate, blood oxygen and the like measured by the equipment generally have some situations of inaccurate measurement or low accuracy, and most of consumers need the system to solve the problems, and the measurement cannot be finished due to the technology and the capability or lack of comprehensive consideration. Some cloud servers only accumulate and calculate from inaccurate basic data of some intelligent wearable products such as intelligent watches, and the basic data is not scientific or accurate originally, and actually cannot achieve the result of scientific analysis. Most of intelligent watches and matched APP or servers only feed back measurement results, and cannot give or cannot scientifically analyze the measurement results and give related suggestions or improvement suggestions, and cannot give corresponding risk prompts for disease hidden dangers. Or only the consumers are taught to exercise uniformly, the exercise of each consumer is the same, or only the teaching video is provided, the exercise condition of the consumers cannot be supervised in time, and the scientific exercise suggestion which accords with the physical constitution or physical condition of the consumers is given by combining the physical indexes of different users. Or exercise or fitness advice cannot be given in time while exercising. Some products on the market can also give measurements, but cannot analyze the measurements for early screening of diseases. Or the results are not of scientific medical value. No scientific exercise suggestion and suggestion is provided on the market from the parameters of physical constitution, physical condition, different ages, different regions, different sexes, different heights, weights and the like of consumers, particularly the actual situations of heart, lung and the like. And simultaneously, the exercise can be carried out while a scientific exercise suggestion and an error correction prompt mechanism are put forward in time.
In summary, a platform which can monitor body function parameters by using an intelligent terminal and monitor the body condition of a user in a systematic manner to realize risk prompt, exercise and diet making intelligent system planning management of hidden or existing diseases is lacked at present.
Disclosure of Invention
In view of the defects of the prior art, the invention aims to provide a health management platform and a management method based on a wearable intelligent terminal, and aims to solve the problem that the prior art is lack of intelligent system planning management and reasonable meal management for hidden disease monitoring and exercise making.
In order to achieve the purpose, the invention adopts the following technical scheme:
a health management platform based on a wearable intelligent terminal is characterized by comprising the wearable intelligent terminal, an APP terminal, a background server, a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform;
the wearable intelligent terminal is used for acquiring body health monitoring data of a user and uploading the body health monitoring data to the background server;
the APP terminal is used for associating with the wearable intelligent terminal, inputting identity information and sign information of a user to the background server and receiving information sent by the background server;
the background server is used for uploading collected body health monitoring data, identity information and sign information to the cloud health big data platform, the cloud body-building exercise big data platform and the cloud health diet big data platform after statistics and arrangement;
the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal;
the background server is also used for collating the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise and fitness plan suitable for the user and sends the exercise and fitness plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate the exercise plan suitable for the physical ability and health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors exercise in real time and feeds back the exercise to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides correction suggestions in real time for the exercise mode or the exercise mode which does not reach the standard of the consumer, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server;
the background server analyzes, sorts and uploads recently collected monitoring data to a cloud health diet big data platform again, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal.
Preferably, the wearable intelligent terminal further comprises an information entry module, and the information entry module can also be used for entering identity information and physical sign information of the user.
Preferably, the background server further comprises a user identification module, the user inputs the relationship between the user and the associated user on the APP terminal, and the user identification module can record the relationship between multiple associated users and push the dietary plan suitable for the user and the relatives to the APP terminal.
Preferably, the wearable intelligent terminal comprises a positioning module, the background server judges whether the user and the associated relative live together according to the positioning information of the wearable intelligent terminal, and if the user and the associated relative live together, the background server pushes a meal scheme conforming to the relative to the APP terminal; or the meal recommendation suggestions and the schemes which are originally held together and are separated at present or originally separated and are held together at present are adjusted and comprehensively considered in time according to the change of the meal recommendation suggestions and the schemes which are suitable for the relatives.
In addition, the invention also provides a health management method based on the wearable intelligent terminal, which is characterized by comprising the following steps:
the wearable intelligent terminal acquires body health monitoring data of a user and uploads the body health monitoring data to the background server;
the APP end inputs the identity information and the physical sign information of the user to the background server and receives the information sent by the background server;
the collected body health monitoring data, the identity information and the physical sign information are uploaded to a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform after being counted and sorted;
the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal;
the background server is also used for arranging the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise plan suitable for the user and sends the exercise plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate an exercise plan suitable for the physical ability and the health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors the exercise in real time and feeds the exercise plan back to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides suggestions for correcting the exercise mode or the exercise mode which does not reach the standard of the consumer in real time, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server;
the background server analyzes and sorts the recently collected monitoring data again and uploads the monitoring data to the cloud health diet big data platform, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal.
Preferably, the wearable intelligent terminal can also input the identity information and the physical sign information of the user.
Preferably, the method further comprises the step that the user inputs the relationship between the user and the associated user on the APP terminal, the background server can record the relationship between the multiple associated users, and pushes the dietary schemes suitable for the user and the relatives to the APP terminal.
Preferably, the method further comprises the steps that the background server judges whether the user and the associated relatives live together according to the positioning information of the wearable intelligent terminal, and if the user and the associated relatives live together, the background server pushes a meal scheme conforming to the relatives to the APP terminal; or the meal recommendation suggestions and the schemes which are originally held together and are separated at present or originally separated and are held together at present are adjusted and comprehensively considered in time according to the change of the meal recommendation suggestions and the schemes which are suitable for the relatives.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a health management platform and a management method based on a wearable intelligent terminal, wherein the platform comprises the wearable intelligent terminal, an APP terminal, a background server, a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform; the wearable intelligent terminal is used for acquiring body health monitoring data of a user and uploading the body health monitoring data to the background server; the APP terminal is used for associating with the wearable intelligent terminal, inputting identity information and sign information of a user to the background server and receiving information sent by the background server; the background server is used for uploading collected body health monitoring data, identity information and sign information to the cloud health big data platform, the cloud body-building exercise big data platform and the cloud health diet big data platform after statistics and arrangement; the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal; the background server is also used for collating the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise and fitness plan suitable for the user and sends the exercise and fitness plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate the exercise plan suitable for the physical ability and health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors exercise in real time and feeds back the exercise to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides correction suggestions in real time for the exercise mode or the exercise mode which does not reach the standard of the consumer, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server; the background server analyzes, sorts and uploads recently collected monitoring data to a cloud health diet big data platform again, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal. The scheme fully considers the aspects from family or personal health monitoring, body exercise, diet management, suggestion, avoidance and the like, and carries out health monitoring and management aiming at families or individuals and relatives in all aspects.
Drawings
FIG. 1 is a block diagram of a preferred embodiment of a management platform of the present invention;
fig. 2 is a flow chart of a preferred embodiment of the management method of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1-2, the health management platform based on the wearable intelligent terminal provided by the invention comprises the wearable intelligent terminal, an APP end, a background server, a cloud health big data platform, a cloud fitness exercise big data platform and a cloud health diet big data platform;
the wearable intelligent terminal is used for acquiring body health monitoring data of a user and uploading the body health monitoring data to the background server;
the APP terminal is used for associating with the wearable intelligent terminal, inputting identity information and sign information of a user to the background server and receiving information sent by the background server;
the background server is used for uploading collected body health monitoring data, identity information and sign information to the cloud health big data platform, the cloud body-building exercise big data platform and the cloud health diet big data platform after statistics and arrangement;
the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal;
the background server is also used for collating the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise and fitness plan suitable for the user and sends the exercise and fitness plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate the exercise plan suitable for the physical ability and health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors exercise in real time and feeds back the exercise to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides correction suggestions in real time for the exercise mode or the exercise mode which does not reach the standard of the consumer, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server;
the background server analyzes, sorts and uploads recently collected monitoring data to a cloud health diet big data platform again, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal.
The wearable equipment is used for collecting real-time body function parameters or body health monitoring data during exercise, the body health monitoring data comprises heart rate, blood oxygen, electrocardio, HRV, position information, exercise and exercise information, real-time exercise state, various conditions in sleep or normal state, the APP terminal is used for being associated with the wearable intelligent terminal and inputting identity information and sign information of a user to the background server and receiving information sent by the background server, the background server is used for uploading collected body health monitoring data, identity information and sign information to the cloud health big data platform, the cloud health big data platform and the cloud health exercise big data platform after statistical arrangement, the cloud health big data platform calculates, analyzes and diagnoses the health data, returns the health data to the background server, and the background server calculates and analyzes the returned health data to obtain disease risk and health portrait of the user, and screening out possible early diseases, and sending an analysis result, a health picture and a notice to the APP terminal. Through the health portrait, the consumer can know which cardiovascular and cerebrovascular diseases or hidden dangers may exist or already exist, early prevention, early discovery and early treatment of the diseases are achieved, online doctor service is provided, and online question answering or diagnosis and treatment suggestion service can be provided. Through the body indexes such as heart rate, blood pressure, blood oxygen, motion mode, exercise intensity, pressure respiration rate, sleep time, sleep quality, sleep apnea times, electrocardiogram, heart rate variability and the like, the cloud platform uploaded to a famous cardiovascular and cerebrovascular hospital with medical qualifications through a background server is compared and analyzed with clinical data, and the scientific comprehensive analysis is carried out by combining the age of a consumer, the weight and the height of the consumer, the signs and the habit of work and rest at ordinary times, the possible or existing health hidden dangers are judged in advance, screening is made, or the possible and possible health hidden dangers are analyzed, and reasonable health suggestions and opinions are given. The background server is also used for collating the body health monitoring data of recent sports into sports data and uploading the sports data and the health portrait to the cloud body-building and exercise big data platform, the cloud body-building and exercise big data platform comprehensively calculates and scientifically provides an exercise and exercise plan suitable for the user and sends the exercise and exercise plan to the background server, the background server combines the existing data information analysis and operation of the user to regenerate the exercise plan suitable for the physical ability and the health of the consumer, and the data are sent to the wearable intelligent terminal and the APP terminal to be checked by the consumer in time, the wearable intelligent terminal monitors the exercise in real time and feeds the exercise back to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and exercise data is recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal through the background server. And acquiring which aspects of exercise are suitable for the consumers and which exercise is not suitable for the consumers from the cloud fitness exercise big data platform. Intensity is used as a core, intensity deviation is monitored through cloud computing, and the exercise process is guided by means of voice prompt. Firstly, system parameters such as exercise risk and benefit are evaluated based on diagnosis of national living habits and behavior modes, crowd division is completed, an intensity period is determined and an open exercise prescription is made on the basis of ensuring fitness individuality; secondly, establishing ideal tracks of different crowd body-building strengths through experimental research, and establishing individualized cloud effect marks of the strengths; acquiring heart rate and speed data per second by means of wearable equipment, correcting intensity deviation through voice prompt according to cloud fitting of an effect target and actual data, and completing real-time guidance of a fitness process; and finally, analyzing the fitness process according to the difference between the effect and the reality, the individual condition and the like, and quantitatively evaluating the fitness effect in real time and in the process. Based on data mining of scientific fitness guidance, an individual physical fitness model is constructed, a training period and a training plan are determined by taking a short board as a principle, and the problem of 'what to practice' is solved; collecting real-time training data every second, scientifically defining intermittent time, times and group number and evaluating training of each section according to the connotation of a repeated, intermittent and continuous training method, and guiding the whole process of physical training by using a voice prompting mode to solve the problem of how to practice; the task completed by monitoring single exercise is to supervise and intervene the exercise, but the exercise needs not to be continued in the next day, and the exercise intensity is large enough to obtain the health to the maximum extent, which is the exercise planning in a long period. According to the user personalized mathematical model, a scientific algorithm is adopted to simulate the ideal intensity of each single movement within a long movement period and movement time interval. The whole planning of the individual long-period exercise health scheme is completed, and the scientificity and the integrity of the fitness process are comprehensively improved. After finishing the exercise interval and intensity in a long period, synthesizing an implementation path of each intensity effect target through cloud computing according to the exercise time and the actual exercise state which can be supported by the user. The heart rate is used as a core index of the exercise intensity, and the full-data modeling of the scheme can be completed through a synthesis algorithm under the assistance of other data; the heart rate fed back by the exercise process is combined with a full data model, the guidance and intervention long-period exercise health process are implemented, the physical ability promotion process is scientifically evaluated by constructing an individual physical ability training database according to the theory related to physiology and training science, and the problem of 'what to do' is solved. So as to reduce the exercise mode which is not uniform due to individual difference, and avoid unnecessary injury caused by improper exercise. And a scientific exercise mode suitable for the physique, physical ability and cardiovascular and cerebrovascular functions of the user is provided, so that the physical and mental health of the user is achieved, the recent exercise condition of the user is monitored, for example, the exercise amount exceeds the standard, the user is prompted to appropriately reduce the exercise, and the user is prompted to enhance the exercise when the exercise amount is insufficient. The background server analyzes, sorts and uploads recently collected monitoring data to the cloud health diet big data platform again, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal. Through data mining, national health management files are established in a background server, process assessment in each time segment is completed, physique health change tracks are known, and corresponding diet opinions are given. According to the classification operation of each variable of the archives, social sports platforms in different areas and industries are established, so that management is digital and intelligent.
In this embodiment, the wearable intelligent terminal further includes an information entry module, which can also be used to enter the identity information and the physical sign information of the user, specifically, the basic data information initialized by the human body data, including as follows: age, sex, life habit, chronic disease history and other related basic data information.
In this embodiment, the background server further includes a user identification module, where the user inputs the relationship between the user and the associated user on the APP, and the user identification module can record the relationship between multiple associated users and push a meal plan suitable for the user and the relatives to the APP. The background server combines the relatives blood relationship network, big data analysis and family disease history, combines the analytic genetics theory, the monitored body data, the work and life and the sleep quality and habit to infer the possible disease risk, and comprehensively provides the family health advice and suggestion from the body monitoring, early screening, diet advice, exercise mode and intensity advice and genetic disease analysis.
In this embodiment, the wearable intelligent terminal includes a positioning module, the background server determines whether the user and the associated relative live together according to the positioning information of the wearable intelligent terminal, and if so, pushes a meal scheme conforming to the relative to the APP end; or the meal recommendation suggestions and the schemes which are originally held together and are separated at present or originally separated and are held together at present are adjusted and comprehensively considered in time according to the change of the meal recommendation suggestions and the schemes which are suitable for the relatives. The body conditions of relatives and friends of relatives and friends can be checked on the same APP, body indexes among the relatives and friends can be managed and checked better, the body conditions among the relatives and friends can be tracked timely, more care can be given to the relatives and friends, diet and exercise suggestions are given according to the body conditions of the family, and due to the fact that the product has a positioning function, when the system detects that the family and the relatives live together, the family is reminded, and the system suggestions are given comprehensively according to the body conditions of the family, so that the family is reminded of what should be noticed and not eaten, and what should be eaten more, and the scientific suggestions and suggestions are given in a diversified manner of diet structure and exercise.
In summary, it should be further specifically explained that the wearable intelligent terminal, the background server thereof, the cloud health big data platform, the cloud fitness exercise big data platform, and the cloud health diet big data platform interact with each other in multiple platforms, perform comprehensive operation, provide health care, disease early screening, health portrait for a family, calculate and monitor fitness and exercise advice in combination with detection results, and provide all-around family health management and care such as diet advice in combination with body indexes and exercise intensity. The wearable intelligent terminal obtains body health data of a user, such as heart rate, blood oxygen, blood pressure, sleep, exercise step number, exercise time duration and the like, and other body indexes obtained from a matched APP, such as weight, gender, age, height and other information, after the parameters and the information are uploaded to the background server, the background server uploads the parameters and the information to the cloud health big data platform for calculation, analysis and diagnosis after statistical arrangement, the result is returned to the background server, the background server aims at the returned health data, possible diseases and health figures of the wearer are calculated and analyzed, and the parameters and the information are sent to the APP, so that the consumer can check the health condition of the user or family from the APP, and the measurement data and the data analysis result are sent to the APP. After monitoring for a period of time, the background server sends recent exercise data and information to the cloud coach platform, the cloud coach platform combines with cloud body building exercise big data and scientific body building guidance, combines with the information of physical conditions, exercise conditions, disease conditions, age, height, weight, sex and the like of a consumer, comprehensively calculates exercise and body building schemes and cautionary items which are most suitable for the physical indexes of the consumer, generates a monitoring plan, and returns the monitoring plan to the background server. The server combines the daily habits of consumers to generate an exercise plan, issues the wearable intelligent terminal and the APP, synchronously monitors exercise, gives exercise instructions in real time through the cloud coach platform during exercise, records exercise records and exercise data, and forms exercise evaluation and suggestions. After a period of time of body monitoring (such as parameters of HVR, blood oxygen, blood pressure, heart rate, electrocardio and the like), sleep monitoring, exercise monitoring and disease monitoring, the comprehensive data is analyzed and sorted again by combining with the height, age, weight and sex of a consumer and a background server, and the comprehensive data is uploaded to a healthy meal big data cloud platform for analysis and the meal scheme and meal attention items which are most suitable for the consumer or family are obtained. The method comprises the steps of mining and establishing national health management files to realize the configuration of a dedicated cloud coach and data intelligent management for each exercise participant, carrying out early warning on potential or existing diseases of individuals or relatives and formulating a reasonable diet scheme. And according to the GPS positioning information of the relatives, whether the relatives live together is confirmed to analyze, if the relatives who do not live together do not avoid the diet avoidance of the relatives, and if the relatives live together, the diet attention of the relatives is fully considered. When the relatives come together from other places, the meal avoidance and attention items to be paid attention to after the relatives join are reminded in time. The scheme fully considers the aspects of family or personal health monitoring, body exercise and fitness, diet management, advice and avoidance and the like, and carries out health monitoring and management aiming at families or individuals and relatives in all aspects.
In addition, the invention also provides a health management method based on the wearable intelligent terminal, which comprises the following steps:
the wearable intelligent terminal acquires body health monitoring data of a user and uploads the body health monitoring data to the background server;
the APP end inputs the identity information and the physical sign information of the user to the background server and receives the information sent by the background server;
the collected body health monitoring data, the identity information and the physical sign information are uploaded to a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform after being counted and sorted;
the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal;
the background server is also used for arranging the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise plan suitable for the user and sends the exercise plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate an exercise plan suitable for the physical ability and the health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors the exercise in real time and feeds the exercise plan back to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides suggestions for correcting the exercise mode or the exercise mode which does not reach the standard of the consumer in real time, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server;
the background server analyzes and sorts the recently collected monitoring data again and uploads the monitoring data to the cloud health diet big data platform, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal.
In this embodiment, the wearable intelligent terminal can also enter the identity information and the physical sign information of the user, specifically, the basic data information initialized by the body data includes, for example: age, sex, life habit, chronic disease history and other related basic data information.
In this embodiment, the method further includes that the user inputs the relationship between the user and the associated user on the APP, the user identification module can record the relationship between multiple associated users, and push a meal plan suitable for the user and the relatives to the APP. The background server combines the relatives blood relationship network, big data analysis and family disease history, combines the analytic genetics theory, the monitored body data, the work and life and the sleep quality and habit to infer the possible disease risk, and comprehensively provides the family health advice and suggestion from the body monitoring, early screening, diet advice, exercise mode and intensity advice and genetic disease analysis.
In the embodiment, the method further comprises the steps that the background server judges whether the user and the associated relatives live together according to the positioning information of the wearable intelligent terminal, and if the user and the associated relatives live together, the background server pushes a meal scheme conforming to the relatives to the APP terminal; or the meal recommendation suggestions and the schemes which are originally held together and are separated at present or originally separated and are held together at present are adjusted and comprehensively considered in time according to the change of the meal recommendation suggestions and the schemes which are suitable for the relatives. The body conditions of relatives and friends of relatives and friends can be checked on the same APP, body indexes among the relatives and friends can be managed and checked better, the body conditions among the relatives and friends can be tracked timely, more care can be given to the relatives and friends, diet and exercise suggestions are given according to the body conditions of the family, and due to the fact that the product has a positioning function, when the system detects that the family and the relatives live together, the family is reminded, and the system suggestions are given comprehensively according to the body conditions of the family, so that the family is reminded of what should be noticed and not eaten, and what should be eaten more, and the scientific suggestions and suggestions are given in a diversified manner of diet structure and exercise.
In summary, the working principle of the invention is as follows:
the wearable intelligent terminal, a background server of the wearable intelligent terminal, a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform interact in multiple platforms, comprehensive operation is performed, health monitoring, disease early screening and health portrait are provided for individuals or families, body-building and exercise suggestions are calculated and monitored by combining detection results, and all-round individual or family health management and monitoring such as diet suggestions are provided by combining body indexes and exercise intensity.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.
Claims (8)
1. A health management platform based on a wearable intelligent terminal is characterized by comprising the wearable intelligent terminal, an APP terminal, a background server, a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform;
the wearable intelligent terminal is used for acquiring body health monitoring data of a user and uploading the body health monitoring data to the background server;
the APP terminal is used for associating with the wearable intelligent terminal, inputting identity information and sign information of a user to the background server and receiving information sent by the background server;
the background server is used for uploading collected body health monitoring data, identity information and sign information to the cloud health big data platform, the cloud body-building exercise big data platform and the cloud health diet big data platform after statistics and arrangement;
the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal;
the background server is also used for collating the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise and fitness plan suitable for the user and sends the exercise and fitness plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate the exercise plan suitable for the physical ability and health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors exercise in real time and feeds back the exercise to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides correction suggestions in real time for the exercise mode or the exercise mode which does not reach the standard of the consumer, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server;
the background server analyzes, sorts and uploads recently collected monitoring data to a cloud health diet big data platform again, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal.
2. The health management platform based on the wearable intelligent terminal according to claim 1, wherein the wearable intelligent terminal further comprises an information entry module, which can also be used for entering the identity information and the physical sign information of the user.
3. The health management platform based on the wearable intelligent terminal as claimed in claim 2, wherein the background server further comprises a user identification module, the user inputs the relationship between the user and the associated user on the APP end, the user identification module can record the relationship between multiple associated users, and push the dietary plan suitable for the user and the relatives to the APP end.
4. The health management platform based on the wearable intelligent terminal as claimed in claim 3, wherein the wearable intelligent terminal comprises a positioning module, the background server determines whether the user and the associated relative live together according to the positioning information of the wearable intelligent terminal, and if the user and the associated relative live together, the background server pushes a meal scheme conforming to the relative to the APP terminal; or the meal recommendation suggestions and the schemes which are originally held together and are separated at present or originally separated and are held together at present are adjusted and comprehensively considered in time according to the change of the meal recommendation suggestions and the schemes which are suitable for the relatives.
5. A health management method based on a wearable intelligent terminal is characterized by comprising the following steps:
the wearable intelligent terminal acquires body health monitoring data of a user and uploads the body health monitoring data to the background server;
the APP end inputs the identity information and the physical sign information of the user to the background server and receives the information sent by the background server;
the collected body health monitoring data, the identity information and the physical sign information are uploaded to a cloud health big data platform, a cloud body-building exercise big data platform and a cloud health diet big data platform after being counted and sorted;
the cloud health big data platform calculates, analyzes and diagnoses, returns health data to the background server, and the background server calculates and analyzes disease risk and health portrait of the user according to the returned health data, screens out possible early diseases and sends an analysis result, the health portrait and cautions to the APP terminal;
the background server is also used for arranging the body health monitoring data of recent exercise into exercise data and uploading the exercise data and the health portrait to the cloud body-building exercise big data platform, the cloud body-building exercise big data platform comprehensively calculates and scientifically provides an exercise plan suitable for the user and sends the exercise plan to the background server, the background server combines the existing data information analysis and calculation of the user to regenerate an exercise plan suitable for the physical ability and the health of the consumer and sends the exercise plan to the wearable intelligent terminal and the APP terminal, the wearable intelligent terminal monitors the exercise in real time and feeds the exercise plan back to the cloud body-building exercise big data platform through the background server, the cloud body-building exercise big data platform gives exercise guidance in real time, and provides suggestions for correcting the exercise mode or the exercise mode which does not reach the standard of the consumer in real time, exercise data are recorded to form exercise evaluation and suggestions, and the exercise evaluation and suggestions are sent to the wearable intelligent terminal and the APP terminal through the background server;
the background server analyzes and sorts the recently collected monitoring data again and uploads the monitoring data to the cloud health diet big data platform, the cloud health diet big data platform analyzes and gives a preliminary diet scheme suitable for the user, the preliminary diet scheme is sent to the background server, and the background server further calculates and analyzes to obtain a final diet scheme and sends the final diet scheme to the APP terminal.
6. The health management method based on the wearable intelligent terminal as claimed in claim 5, further comprising the step of enabling the wearable intelligent terminal to enter identity information and physical sign information of a user.
7. The health management method based on the wearable intelligent terminal as claimed in claim 6, further comprising the step of inputting the relationship between the user and the associated user on the APP terminal by the user, wherein the background server can record the relationship between multiple associated users and push the dietary schemes suitable for the user and relatives to the APP terminal.
8. The health management method based on the wearable intelligent terminal as claimed in claim 7, further comprising the steps of determining whether the user and the associated relatives live together according to the positioning information of the wearable intelligent terminal by the background server, and if so, pushing a meal scheme conforming to the relatives to the APP terminal; or the meal recommendation suggestions and the schemes which are originally held together and are separated at present or originally separated and are held together at present are adjusted and comprehensively considered in time according to the change of the meal recommendation suggestions and the schemes which are suitable for the relatives.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2021107170554 | 2021-06-28 | ||
| CN202110717055.4A CN113380427A (en) | 2021-06-28 | 2021-06-28 | Health management platform and management method based on wearable intelligent terminal |
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| CN114068042A true CN114068042A (en) | 2022-02-18 |
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| CN202110717055.4A Withdrawn CN113380427A (en) | 2021-06-28 | 2021-06-28 | Health management platform and management method based on wearable intelligent terminal |
| CN202111669250.0A Pending CN114068042A (en) | 2021-06-28 | 2021-12-31 | Health management platform and management method based on wearable intelligent terminal |
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| CN202110717055.4A Withdrawn CN113380427A (en) | 2021-06-28 | 2021-06-28 | Health management platform and management method based on wearable intelligent terminal |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115879574A (en) * | 2021-09-27 | 2023-03-31 | 华为技术有限公司 | Health management method, related device and communication system |
| CN114758781B (en) * | 2022-06-15 | 2022-09-06 | 武汉博科国泰信息技术有限公司 | Method, system, device and storage medium for generating health portrait of user |
| CN116168804B (en) * | 2023-04-21 | 2023-08-01 | 杭州青橄榄网络技术有限公司 | Patient diet recommendation system and method based on HIS system |
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- 2021-06-28 CN CN202110717055.4A patent/CN113380427A/en not_active Withdrawn
- 2021-12-31 CN CN202111669250.0A patent/CN114068042A/en active Pending
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