WO2020224041A1

WO2020224041A1 - Wearable device-based smart real-time health monitoring system, and implementation method therefor

Info

Publication number: WO2020224041A1
Application number: PCT/CN2019/094898
Authority: WO
Inventors: 朱继平; 朱洪涛
Original assignee: 上海笛乐护斯健康科技有限公司
Priority date: 2019-05-07
Filing date: 2019-07-05
Publication date: 2020-11-12
Also published as: CN111916199A

Abstract

An wearable device-based smart real-time health monitoring system, and an implementation method for a smart real-time health monitoring system. The smart real-time health monitoring system comprises a wearable smart terminal, a monitoring end and a third-party service platform. The monitoring end is respectively connected to the wearable smart terminal and the third-party service platform by means of a network; and the third-party service platform comprises medical institutions, public security bureaus and police stations, fitness institutions, diet nutrition institutions and psychological consultation institutions. The monitoring end receives real-time health data of a user acquired by a wearable smart terminal and user diagnosis data acquired by a third-party service platform, stores the data and analyzes the data, forms a user health report, and provides a service for a user of the wearable smart terminal according to situations. The smart real-time health monitoring system can actively prompt a user, and in cases where the health of the user indicates danger or emergency, notify a medical institution in real time to provide rescue.

Description

Intelligent health real-time monitoring system based on wearable equipment and its realization method

Technical field

The invention relates to a monitoring system, in particular to an intelligent health real-time monitoring system based on a wearable device; in addition, the invention also relates to an implementation method of the smart health real-time monitoring system based on the wearable device.

Background technique:

In recent years, with the improvement of people's living standards, health and longevity have become a hot spot for the people. At present, the most important issue affecting people’s health is not how harmful the disease is, but the early stage of not discovering the harm of the disease, especially when some acute and chronic diseases are delayed until the later stage of serious health problems, which causes medical difficulties and costs a lot of money. Time and finance for long-term physical health check and treatment have a great impact on people's lives and work.

With the growth of China’s economy, people’s living standards continue to improve. After people live a rich life, they eat good and drink well, have excess nutrition, and reduce their activity levels, resulting in wealthy diseases, such as hypertension, hyperglycemia, hyperlipidemia, and atherosclerosis. Sclerosis, coronary heart disease, etc. The elderly are easier to get because they have less activity and less resistance. my country is about to enter an aging society, and the proportion of elderly people is increasing rapidly. Therefore, these diseases should attract enough attention. According to a survey conducted by the Ministry of Health, 22% of people in my country are overweight, more than 60 million people seek medical care for obesity, more than 200 million people have high blood pressure, more than 50 million people have diabetes, and 160 million people have hyperlipidemia. The country’s daily deaths due to "riches disease" account for more than 15,000 deaths, accounting for more than 70% of the total deaths. The cost of treatment for "riches disease" accounts for more than 60% of the disease burden.

At present, the way most patients deal with this type of disease is: After the body is already uncomfortable and have symptoms, they go to the hospital for examination and then treatment. This kind of treatment is only a remedy after the fact, and most of them have already got the disease. One of the important reasons for this situation is the current state of medical equipment: most of the measuring equipment has single function, large size and relatively expensive price. It is difficult for ordinary families to purchase a variety of physiological parameter measuring instruments. Therefore, it is necessary to measure physiological parameters. Parameters, usually go to the hospital, which is very inconvenient.

At present, there are some wearable products that can measure the key physiological parameters of the human body, but they are usually limited to the wearable (user) self-monitoring, and cannot remind the user of abnormal health in real time, and the user’s health is dangerous or emergency. Under the circumstances, it is difficult to get timely treatment, and its role has certain limitations.

Chinese invention patent application CN201410504460 discloses a wearable telemedicine health management system. It does not have the function of artificial intelligence analysis and judgment. It only collects and transmits parameters. It still needs the human judgment and analysis of doctors and nutritionists to get the results. , There is no artificial intelligence learning ability, not automatic analysis. It takes time for doctors and nutritionists to make analysis and judgments, and there are subjective factors, and they often fail to provide timely feedback to users, which may cause delays in the condition.

Therefore, in view of the above problems, there is an urgent need to develop a wearable device-based smart real-time health monitoring system that can actively remind users and notify medical institutions in real time to provide rescue when the user's health is in danger or emergency.

Summary of the invention

One of the technical problems to be solved by the present invention is to provide an intelligent health real-time monitoring system based on wearable devices. The system can solve the above technical problems of wearable devices, and can actively remind users that when the user's health is dangerous or emergency The medical institution is notified in real time to provide rescue; the system has the advantages of fast, efficient and avoiding manual operation errors. Medical institutions can understand the user's health information before providing rescue, and make targeted rescue preparations.

The second technical problem to be solved by the present invention is to provide a method for implementing an intelligent health real-time monitoring system based on a wearable device.

To solve the above technical problems, the present invention adopts the following technical solutions:

In one aspect of the present invention, a smart health real-time monitoring system based on a wearable device is provided, including: a wearable smart terminal, a monitoring terminal, and a third-party service platform; the monitoring terminal is connected to the wearable smart terminal and a third-party service platform respectively. The platform is connected via the Internet; third-party service platforms include medical institutions, public security bureaus and police stations, fitness institutions, diet and nutrition institutions, and psychological consulting institutions;

The wearable smart terminal is used to automatically detect and collect the user's health data in real time, analyze and determine the health status of the user based on the collected user health data, classify the health status, and transmit the data to the Monitoring terminal

The third-party service platform transmits the user's diagnostic data to the monitoring terminal;

The monitoring terminal receives the user's real-time health data collected from the wearable smart terminal and analyzed and judged and classified and the diagnostic data collected from the third-party service platform, stores the data, and analyzes the data to form a user health report, and Provide services to the user of the wearable smart terminal according to the situation.

As a preferred technical solution of the present invention, the system also includes a volunteer platform, the volunteer platform includes a volunteer network, social public resources, a community property platform, and a nursing home; the volunteer includes other users who use the wearable device ; The volunteer platform is connected to the monitoring terminal network.

As a preferred technical solution of the present invention, the monitoring terminal provides services to the users of the wearable smart terminal according to the situation, and the services include providing health reports, health consultations, seeking medical advice, green channels, automatic alarms, manual alarms, Emergency rescue and other services.

As a preferred technical solution of the present invention, the wearable intelligent terminal includes a positioning module, a communication module, a detection module, an analysis module, an intelligent classification module, a sending module, an alarm module, and a management tool;

The positioning module is used to intelligently locate the location of the wearable smart terminal user; the positioning module uses positioning methods including satellite positioning systems, base stations, WIFI, Bluetooth positioning, and 3D positioning; the 3D positioning refers to longitude, All-round positioning of latitude and height.

The communication module is used for wired or wireless connection to the network;

The detection module is used to automatically detect and collect vital and health sign data of the wearable smart terminal user in real time;

The analysis module is used to receive the parameters collected by the detection module to analyze, evaluate, and judge the health status of the user;

The intelligent grading module is configured to receive user health status data obtained by the analysis module for grading;

The alarm module judges whether the user's health status is normal according to the classification result of the intelligent classification module. If the vital health sign data is normal, the health data is sent to the data storage module of the monitoring terminal for storage; if it is abnormal, the alarm module Alarm; the alarm module includes automatic health alarm (automatically alarm when health problems are detected), fall alarm, electronic fence alarm (electronic fence alarm is used to limit the elderly, children, prisoners, dangerous persons, military secret facilities, etc.) to a certain In the area, there is an electronic fence outside the area, and the electronic fence that exceeds the area is an alarm), manual alarm (when used in a critical situation, you can call for help with one key);

The sending module is used to distribute, encrypt and securely send the user's health classification status received from the intelligent classification module to the user, contact person, monitoring terminal, third-party service platform, and volunteer platform;

The management tool is used to manage the positioning module, the communication module, the detection module, the analysis module, the intelligent classification module, the sending module, and the alarm module, and to interact with the management tool of the monitoring terminal and the management tool of the third-party service platform.

As a preferred technical solution of the present invention, the vital signs data includes vital signs data, behavioral habits data and medical index data; the intelligent grading module divides the vital signs data into the following 5 levels: A, normal; B, healthy Consultation; C. See a doctor as soon as possible; D. See a doctor immediately; E. First aid.

As a preferred technical solution of the present invention, the wearable smart terminal adopts clothing such as wearable bracelets, watches, necklaces, clothes, shoes, socks, belts, etc., clothing, or sports protective gear.

As a preferred technical solution of the present invention, the monitoring terminal includes an alarm module, a positioning module, a telephone system and a dispatching module, a health real-time dynamic module, a data storage module, a monitoring processing module, and a management tool;

The alarm module is connected to the alarm module of the wearable smart terminal. Once the wearable smart terminal issues an alarm, the alarm module of the monitoring terminal also simultaneously issues an alarm; the alarm module includes an automatic health alarm (automatically when a health condition is detected Alarm), fall alarm, electronic fence alarm (electronic fence alarm is used to confine the elderly, children, prisoners, dangerous people, military secret facilities, etc.) to a certain area. An electronic fence is set around the area, and the electronic fence that exceeds the area will alarm ), manual alarm (when used in a critical situation, you can call for help with one key).

The positioning module includes a screening module and a module for establishing a rescue information database. The screening module is used to screen the address and telephone information of the third-party service platform and the volunteer platform; The address and telephone information of the tripartite service platform and the volunteer platform establish a rescue information database; the positioning module is connected to the positioning module of the wearable smart terminal, and the geographic information system GIS technology is used to connect the relevant information around the location of the wearable smart terminal user The addresses and phone information of the third-party service platform and volunteer platform are simultaneously transmitted to the phone system, dispatch module, and data storage module; the positioning module adopts positioning methods including satellite positioning system, base station, WIFI, Bluetooth positioning, and 3D positioning; The aforementioned 3D positioning refers to the omnidirectional positioning of longitude, latitude and altitude.

The health real-time dynamic module includes a data collection module, a data analysis module, and a display module. The data collection module is connected to the sending module of the wearable smart terminal and is used to receive the user's real-time health data sent by the wearable smart terminal; The analysis module is used to calculate and analyze the user's real-time health data collected by the data collection module, and then transmit it to the display module and the data storage module at the same time;

The telephone system and the dispatching module call the data collection module in the health real-time dynamics module, call the phone of multiple emergency contacts of the user and then dial by one key, or call the rescue information phone in the positioning module by one key;

The data storage module is used to store the real-time data and historical data of the alarm module, the positioning module, the health real-time dynamic module, the telephone system and the dispatching module, and the monitoring processing module;

The management tool is used to manage the alarm module, the positioning module, the telephone system and the dispatching module, the health real-time dynamic module, the data storage module, and the monitoring processing module, and is used for the management tools of the wearable intelligent terminal and the management tools of the third-party service platform. interactive;

The monitoring and processing module receives user real-time health data from the health real-time dynamic module, user location data of the positioning module, and related historical health record data of the data storage module, and at the same time calls the diagnostic data collected by a third-party service platform, and performs manual operations based on the above data. Intelligent analysis and judgment processing; the artificial intelligence analysis and judgment processing includes the following steps:

The first step is to establish an offline population health and life model based on clinical big data, using artificial intelligence to learn and analyze;

The second step is real-time user horizontal big data analysis, perfecting, optimizing and categorizing model 1, and establishing model 2;

In the third step, as each user uses the system for a long time and collects various medical indicators, combined with his own health history, etc., based on model 2, it is personalized and dynamic optimization, and model 3 is established;

The fourth step, at any point in time, based on the various medical indicators collected at that time, comprehensively analyze and judge, compare the user's model 3, and determine the user's health at the moment;

The fifth step, based on the different health conditions determined above, handle them according to their severity, and provide corresponding help and services;

The first step of clinical big data analysis and establishment of model 1 is offline, and the second to fifth steps are real-time and automatic.

As a preferred technical solution of the present invention, in the fifth step, the hierarchical processing and the provision of corresponding help and services are specifically: dividing the vital and health sign data (ie big data) of multiple users into the following 5 levels: A , Normal; B, health consultation; C, see a doctor as soon as possible; D, see a doctor immediately; E, first aid); if it is a situation that requires first aid (belonging to E, first aid), notify the telephone system and dispatch module one-key dial emergency contact People or rescue information calls, provide rescue services; if it is sub-health, provide health consultation (belonging to B, health consultation); if it is diagnosed as chronic disease, it belongs to C, see a doctor as soon as possible, and remind you to seek medical treatment; if it is diagnosed as acute or serious disease , Belongs to D. See a doctor immediately and provide medical consultation services.

As a preferred technical solution of the present invention, the monitoring terminal may be a terminal device such as a computer, a laptop or a mobile phone.

In addition, the present invention also provides a method for implementing a smart health real-time monitoring system of a wearable device, which includes the following steps:

(1) The wearable smart terminal detects the user's health status in real time; including real-time automatic detection and collection of vital and health sign data of the wearable smart terminal user;

(2) Intelligent classification of user health data, distinguishing normal health and abnormal health;

(3) Evaluate the health status: if the vital health sign data is normal, the health data will be sent to the data storage module of the monitoring terminal for storage; if it is abnormal, the alarm module will send an alarm;

(4) The monitoring terminal judges how to process according to the received data information: the monitoring processing module receives user real-time health data from the health real-time dynamic module, user location data of the positioning module, and relevant historical health record data of the data storage module, and calls at the same time The diagnostic data collected by the third-party service platform is processed according to the above-mentioned comprehensive judgment of the data; among them, the artificial intelligence analysis and judgment specifically includes the big data health classification, and the big data of the vital health signs of multiple users is divided into the following 5 levels: A, normal; B. Health consultation; C. See a doctor as soon as possible; D. See a doctor immediately; E. First aid;

(5) If it is a situation that requires first aid, call the telephone system and dispatch module to dial the emergency contact or rescue information phone to provide rescue services; if it is diagnosed as a chronic disease, remind to see a doctor as soon as possible; if it is diagnosed as an acute disease or serious Illness, remind to see a doctor immediately, provide medical consultation service;

(6) The monitoring terminal data storage module stores relevant data: the data storage module is used to store real-time and historical data of the alarm module, positioning module, health real-time dynamic module, telephone system and dispatch module, and monitoring processing module;

(7) Set the time for a return visit to the alarm again; for example, set a return visit to the alarm again after a period of time after the first alarm. The return visit includes the service personnel making a call or the service personnel performing an on-site return visit.

(8) The artificial intelligence automatically judges whether the user is getting help: if it is, the monitoring process is completed and ends; if not, it returns to step (4) The monitoring terminal judges how to deal with the received data information.

Compared with the prior art, the present invention has the following beneficial effects:

1. Timeliness: It can actively remind users, and notify medical institutions to provide rescue in real time when the user's health is in danger or emergency;

2. The system has the advantages of being fast, efficient and avoiding manual operation errors.

3. Medical institutions can understand the user's health information before providing rescue and make targeted rescue preparations.

4. Fully automatic operation: The system uses artificial intelligence analysis method to classify the user's health status. If the obtained health status is abnormal, it can realize automatic alarm, the monitoring end can also realize artificial intelligence automatic analysis, and the whole system can realize automatic operation , Greatly reduce manpower and avoid manual errors.

5. The present invention can automatically detect the user's health status in real time, understand the user's health status in time and intervene in multiple dimensions in a timely manner, and can play a role in preventing and curing diseases, and stifling the disease in the bud.

6. The present invention uses the artificial intelligence analysis method to classify the user's health status, and treats the patient in a targeted manner with reference to the classification situation, making hierarchical diagnosis and treatment a reality.

Description of the drawings

Fig. 1 is a schematic diagram of the structure of a smart health real-time monitoring system based on wearable devices of the present invention.

Figure 2 is a schematic diagram of the structure of the wearable smart terminal in the system of the present invention.

Figure 3 is a schematic diagram of the structure of the monitoring terminal in the system of the present invention.

Fig. 4 is a program flowchart of a method for implementing a wearable device-based smart health real-time monitoring system of the present invention.

Detailed ways

The present invention will be further described below in conjunction with the drawings and specific embodiments.

As shown in Figure 1, a smart health real-time monitoring system based on wearable devices of the present invention includes: wearable smart terminals, monitoring terminals, third-party service platforms and volunteer platforms; third-party service platforms include medical institutions (hospitals, etc.) ), public security bureaus and police stations, fitness institutions, diet and nutrition institutions, psychological counseling institutions, etc.; the volunteer platforms include volunteer networks (volunteers can be other users who use the wearable device), social public resources, community property platforms , Nursing homes, etc. The monitoring terminal is respectively connected to a wearable smart terminal, a third-party service platform, and a volunteer platform via a network; the wearable smart terminal is used to automatically detect and collect user health data in real time, and perform specific analysis based on the collected user health data Determine the health status and classify the health status, and enter the health data and other user information (other user information, such as age, gender, blood type, medical history, allergy history, etc.) by the user settings. Information) is transmitted to the monitoring terminal; the third-party service platform transmits the user’s diagnostic data to the monitoring terminal; the monitoring terminal receives the user’s real-time health collected from the wearable smart terminal and analyzed and determined classification Data and diagnostic data collected from the third-party service platform, store the data, and analyze the data to form a user health report, and provide health reports, health consultations, medical consultations, and consultations to the wearable smart terminal users according to the situation. Green channel, automatic alarm, manual alarm, emergency rescue and other services.

As shown in Figure 2, the wearable intelligent terminal includes a positioning module, a communication module, a detection module, an analysis module, an intelligent classification module, a sending module, an alarm module, and a management tool; the positioning module is used to intelligently locate the wearable The location of the user of the smart terminal; the positioning module adopts positioning methods including satellite positioning system, base station, WIFI, Bluetooth positioning, and 3D positioning; the 3D positioning refers to the omnidirectional positioning of longitude, latitude and altitude. The communication module is used for wired or wireless connection to the network; the detection module is used for real-time automatic detection and collection of the life and health sign data of the user of the wearable smart terminal (that is, the above-mentioned wearable smart terminal is used for real-time automatic detection And collect the user's "health data"), the vital health sign data includes: 1. Vital sign data, such as body temperature, heart rate, breathing rate, blood pressure, etc.; 2. Behavior habits data, including diet, sleep, mood, exercise Etc.; 3. Medical index data, including blood glucose, blood oxygen, etc. The analysis module is used to receive the parameters collected by the detection module to analyze, evaluate, and determine the health status of the user; the intelligent classification module is used to receive the user health status data obtained by the analysis module for classification; The classification module divides the vital and health signs data into the following 5 levels: A, normal; B, health consultation; C, see a doctor as soon as possible; D, see a doctor immediately; E, first aid. The alarm module judges whether the user's health status is normal according to the classification result of the intelligent classification module. If the vital health sign data belongs to A and is normal, the health data is sent to the data storage module of the monitoring terminal for storage; if it is abnormal, then The alarm module issues an alarm. The alarm module includes automatic health alarm (automatically alarm when health problems are detected), fall alarm, and electronic fence alarm (electronic fence alarm is used to limit the elderly, children, prisoners, dangerous persons, military secret facilities, etc.) to a certain area. An electronic fence is set on the periphery of the area, and the electronic fence that exceeds the area is an alarm), manual alarm (when used in a critical situation, you can call for help with one key). The sending module is used to distribute, encrypt, and securely send the user's health classification status received from the intelligent classification module to the user, contact person, monitoring terminal, third-party service platform, volunteer platform, and the ecosystem Other participants. The management tool is used to manage the positioning module, the communication module, the detection module, the analysis module, the intelligent classification module, the sending module, and the alarm module, and to interact with the management tool of the monitoring terminal and the management tool of the third-party service platform. The wearable smart terminal may use wearable bracelets, watches, necklaces, clothes, shoes, socks, belts and other clothing, apparel, or sports protective gear.

As shown in Figure 3, the monitoring terminal includes an alarm module, a positioning module, a telephone system and a dispatching module, a health real-time dynamic module, a data storage module, a monitoring processing module, and a management tool; the alarm module is similar to the wearable intelligence shown in Figure 2. The alarm module of the terminal is connected, and once an alarm is issued by the wearable smart terminal, the alarm module of the monitoring terminal also sends an alarm synchronously (by sound, light, and electric warning). The alarm module includes automatic health alarm (automatically alarm when health problems are detected), fall alarm, and electronic fence alarm (electronic fence alarm is used to limit the elderly, children, prisoners, dangerous persons, military secret facilities, etc.) to a certain area. An electronic fence is set on the periphery of the area, and the electronic fence that exceeds the area is an alarm), manual alarm (when used in a critical situation, you can call for help with one key). The monitoring terminal may be a terminal device such as a computer, a laptop computer or a mobile phone. The positioning module includes a screening module and a rescue information database module. The screening module is used to screen the third-party service platforms (including medical institutions (hospitals, etc.), public security bureaus and police stations, fitness institutions, diet and nutrition institutions, psychological counseling institutions, etc.) ) And the address and telephone information of the volunteer platform (including the volunteer network (volunteers can be other users who use the wearable device), social public resources, community property platforms, nursing homes, etc.); to establish a rescue information database module Establish a rescue information database based on the addresses and phone numbers of third-party service platforms and volunteer platforms that will be screened by the screening module. The positioning module is connected to the positioning module of the wearable smart terminal in Figure 2, and uses geographic information system GIS technology to simultaneously transmit the addresses and phone information of third-party service platforms and volunteer platforms around the location of the wearable smart terminal user. Telephone system and dispatch module, data storage module. The positioning module adopts positioning methods including satellite positioning system, base station, WIFI, Bluetooth positioning, 3D positioning, etc.; the 3D positioning refers to omnidirectional positioning of longitude, latitude and altitude. The health real-time dynamic module includes a data collection module, a data analysis module, and a display module. The data collection module is connected to the sending module of the wearable smart terminal in FIG. 2 and is used to receive the user's real-time health data sent by the wearable smart terminal; The data analysis module is used to calculate and analyze the user's real-time health data collected by the data collection module, and then transmit it to the display module and the data storage module at the same time. The telephone system and the dispatching module can call the data collection module in the health real-time dynamics module, call multiple emergency contacts of the user and then dial with one key, or call the rescue information phone in the positioning module with one key dial. The data storage module is used to store data (including real-time data and historical data) of various modules (including alarm module, positioning module, health real-time dynamic module, telephone system and dispatch module, and monitoring processing module). The monitoring and processing module receives user real-time health data from the health real-time dynamic module, user location data of the positioning module, and related historical health record data of the data storage module, and at the same time calls the diagnostic data collected by a third-party service platform, and performs manual operations based on the above data. Intelligent analysis and judgment for processing. The artificial intelligence analysis specifically includes the following steps:

First, offline clinical big data analysis, establish model 1. Based on clinical big data, use artificial intelligence to study and analyze, establish offline population health and life model 1 based on different ages, genders, blood types, medical history, etc.

Secondly, real-time user horizontal big data analysis, perfecting, optimizing and classifying model 1 (according to age, gender, medical history, etc.), and establishing model 2; through real-time automatic detection of a large number of users' (horizontal) vital signs, behavior indicators, and Other medical indicators, based on medical history, health status, age, gender, blood type, etc., automatically and real-time self-learning and dynamic adjustment of model 1 and historical dynamic health and life, and model 2 is established.

Thirdly, as each user uses the system for a long time and collects various medical indicators, combined with his own health history, etc., based on model 2, personalized dynamic optimization, build model 3; based on the above-mentioned different user dynamic model 2, Combined with a single user, based on the detection of the user's vital signs, behavior habits and other medical indicators at different times, based on his medical history, health status, age, gender, blood type, etc., automatic learning, analysis, and establishment of a personalized dynamic health and life model 3 .

Then, at any point in time, based on the various medical indicators collected at that time, comprehensively analyze and judge, compare the user's model 3, and determine the user's health at the moment; based on the personalized dynamic health and life model 3, As well as the various indicators monitored in real time, comprehensive evaluation, the health index and life index, namely the X and Y coordinates in the health and life model, are used to determine the health status of the user.

Finally, based on the different health conditions judged above, according to their severity, graded treatment, and provide corresponding help and services.

Except for clinical big data analysis (building model 1), which is offline, building model 2 and model 3, as well as real-time data collection, analysis, judgment, classification, and service, are all real-time and automatic.

Among them, artificial intelligence analysis and judgment specifically include big data health classification, which is divided into five levels, and the life and health sign data of multiple users (that is, big data) is divided into the following five levels: A, normal; B, health consultation; C, see as soon as possible Doctor; D, see a doctor immediately; E, first aid); if it is a situation that requires first aid (belonging to E, first aid), notify the telephone system and dispatch module to dial the emergency contact or rescue information phone with one key to provide rescue services; if so Sub-health, provide health consultation (belonging to B, health consultation); if it is diagnosed as chronic disease, it belongs to C, see a doctor as soon as possible, and remind to seek medical attention; if it is diagnosed as acute or serious disease, it belongs to D, immediately see a doctor, and provide consultation Medical service. The management tool is used to manage the alarm module, the positioning module, the telephone system and the dispatching module, the health real-time dynamic module, the data storage module, and the monitoring processing module, and is used for the management tools of the wearable intelligent terminal and the management tools of the third-party service platform. interactive.

As shown in Figure 4, the present invention also provides a method for implementing a wearable device-based smart health real-time monitoring system, which includes the following steps:

(2) Intelligent classification of user health data: The intelligent classification module of the wearable smart terminal divides the vital health sign data into the following 5 levels: A, normal; B, health consultation; C, see a doctor as soon as possible; D, see a doctor immediately ; E. First aid.

(3) Evaluate the health status: If the vital health sign data belongs to A and normal, the health data is sent to the data storage module of the monitoring terminal for storage; if it is abnormal (healthy abnormality), the alarm module sends an alarm.

(4) The monitoring terminal judges how to process according to the received data information: The monitoring processing module receives user real-time health data from the health real-time dynamic module, user location data from the positioning module, and relevant historical health record data from the data storage module. The diagnostic data collected by the third-party service platform is called and processed according to the above-mentioned comprehensive judgment of the data; among them, the artificial intelligence analysis and judgment specifically includes the big data health classification, and the big data of the vital health signs of multiple users is divided into the following 5 levels: A, normal ; B, health consultation; C, see a doctor as soon as possible; D, see a doctor immediately; E, first aid;

(5) If it is a situation that requires first aid, call the telephone system and dispatching module to dial emergency contacts or rescue information calls to provide rescue services. If you are diagnosed with a chronic disease, remind you to see a doctor as soon as possible; if you are diagnosed with an acute or serious disease, you are reminded to see a doctor immediately and provide consultation services.

(6) The monitoring terminal data storage module stores relevant data: the data storage module is used to store the data (including real-time) of various modules (including alarm module, positioning module, health real-time dynamic module, telephone system and dispatch module, monitoring processing module). Data and historical data) for storage.

(7) Set time for re-alarming and return visit: For example, it can be set to make re-alarming and return visit after a period of time after the first alarm. The return visit can be a call by the service staff or a return visit by the service staff on-site.

(8) Artificial intelligence automatically judges whether the user is getting help. If yes, the monitoring process is completed and ends; if not, then return to step (4) The monitoring terminal judges how to process according to the received data information.

Claims

A smart health real-time monitoring system based on wearable devices, which is characterized by comprising: a wearable smart terminal, a monitoring terminal, and a third-party service platform; the monitoring terminal is respectively connected to the wearable smart terminal and the third-party service platform through a network ; Third-party service platforms include medical institutions, public security bureaus and police stations, fitness institutions, diet and nutrition institutions, and psychological consultation institutions;

The wearable smart terminal is used to automatically detect and collect the user's health data in real time, analyze and determine the health status of the user based on the collected user health data, classify the health status, and transmit the data to the Monitoring terminal

The third-party service platform transmits the user's diagnostic data to the monitoring terminal;

The monitoring terminal receives the user's real-time health data collected from the wearable smart terminal and analyzed and judged and classified and the diagnostic data collected from the third-party service platform, stores the data, and analyzes the data to form a user health report, and Provide services to the user of the wearable smart terminal according to the situation.
The system according to claim 1, wherein the system further includes a volunteer platform, the volunteer platform includes a volunteer network, social public resources, a community property platform, and a nursing home; the volunteer includes the use of the Other users of wearable devices; the volunteer platform is connected to the monitoring terminal network.
The system according to claim 1, wherein the monitoring terminal provides services to users of the wearable smart terminal according to the situation, and the services include providing health reports, health consultations, seeking medical consultation, green channels, automatic Alarm, manual alarm, emergency rescue.
The system according to claim 1, 2 or 3, wherein the wearable smart terminal includes a positioning module, a communication module, a detection module, an analysis module, an intelligent classification module, a sending module, an alarm module, and a management tool;

The positioning module is used to intelligently locate the location of the wearable smart terminal user; the positioning module adopts a positioning method including satellite positioning system, base station, WIFI, Bluetooth positioning, and 3D positioning; the 3D positioning is longitude, latitude and Highly omnidirectional positioning;

The communication module is used for wired or wireless connection to the network;

The detection module is used to automatically detect and collect vital and health sign data of the wearable smart terminal user in real time;

The analysis module is used to receive the parameters collected by the detection module to analyze, evaluate, and judge the health status of the user;

The intelligent grading module is configured to receive user health status data obtained by the analysis module for grading;

The alarm module judges whether the user's health status is normal according to the classification result of the intelligent classification module. If the vital health sign data is normal, the health data is sent to the data storage module of the monitoring terminal for storage; if it is abnormal, the alarm module Alarm; alarm module includes automatic health alarm, fall alarm, electronic fence alarm, manual alarm;

The sending module is used to distribute, encrypt and securely send the user's health classification status received from the intelligent classification module to the user, contact person, monitoring terminal, third-party service platform, and volunteer platform;

The management tool is used to manage the positioning module, the communication module, the detection module, the analysis module, the intelligent classification module, the sending module, and the alarm module, and to interact with the management tool of the monitoring terminal and the management tool of the third-party service platform.
The system according to claim 4, wherein the vital health sign data includes vital sign data, behavioral habit data, and medical index data; the intelligent grading module divides the vital health sign data into the following 5 levels: A, Normal; B, health consultation; C, see a doctor as soon as possible; D, see a doctor immediately; E, first aid.
The system according to claim 1 or 4, wherein the wearable smart terminal adopts clothing, apparel, or sports protective gear such as wearable bracelets, watches, necklaces, clothes, shoes, socks, belts, etc.
The system according to claim 4, wherein the monitoring terminal includes an alarm module, a positioning module, a telephone system and a dispatching module, a health real-time dynamic module, a data storage module, a monitoring processing module, and a management tool;

The alarm module is connected to the alarm module of the wearable smart terminal. Once the wearable smart terminal issues an alarm, the alarm module of the monitoring terminal also simultaneously issues an alarm; the alarm module includes automatic health alarm, fall alarm, electronic fence alarm, manual Call the police;

The positioning module includes a screening module and a module for establishing a rescue information database. The screening module is used to screen the address and telephone information of the third-party service platform and the volunteer platform; The address and telephone information of the tripartite service platform and the volunteer platform establish a rescue information database; the positioning module is connected to the positioning module of the wearable smart terminal, and the geographic information system GIS technology is used to connect the relevant information around the location of the wearable smart terminal user The addresses and phone information of the third-party service platform and volunteer platform are simultaneously transmitted to the telephone system, dispatch module, and data storage module; the positioning module adopts a positioning method including satellite positioning system, base station, WIFI, Bluetooth positioning, and 3D positioning; The 3D positioning is the omnidirectional positioning of longitude, latitude and altitude;

The health real-time dynamic module includes a data collection module, a data analysis module, and a display module. The data collection module is connected to the sending module of the wearable smart terminal and is used to receive the user's real-time health data sent by the wearable smart terminal; The analysis module is used to calculate and analyze the user's real-time health data collected by the data collection module, and then transmit it to the display module and the data storage module at the same time;

The telephone system and the dispatching module call the data collection module in the health real-time dynamics module, call the phone of multiple emergency contacts of the user and then dial by one key, or call the rescue information phone in the positioning module by one key;

The data storage module is used to store the real-time data and historical data of the alarm module, the positioning module, the health real-time dynamic module, the telephone system and the dispatching module, and the monitoring processing module;

The management tool is used to manage the alarm module, the positioning module, the telephone system and the dispatching module, the health real-time dynamic module, the data storage module, and the monitoring processing module, and is used for the management tools of the wearable intelligent terminal and the management tools of the third-party service platform. interactive;

The monitoring and processing module receives user real-time health data from the health real-time dynamic module, user location data of the positioning module, and related historical health record data of the data storage module, and at the same time calls the diagnostic data collected by a third-party service platform, and performs manual operations based on the above data. Intelligent analysis and judgment processing; the artificial intelligence analysis and judgment processing includes the following steps:

The first step is to establish an offline population health and life model based on clinical big data, using artificial intelligence to learn and analyze;

The second step is real-time user horizontal big data analysis, perfecting, optimizing and categorizing model 1, and establishing model 2;

In the third step, as each user uses the system for a long time and collects various medical indicators, combined with his own health history, etc., based on model 2, it is personalized and dynamic optimization, and model 3 is established;

The fourth step, at any point in time, based on the various medical indicators collected at that time, comprehensively analyze and judge, compare the user's model 3, and determine the user's health at the moment;

The fifth step, based on the different health conditions determined above, handle them according to their severity, and provide corresponding help and services;

The first step of clinical big data analysis and establishment of model 1 is offline, and the second to fifth steps are real-time and automatic.
The system according to claim 7, characterized in that, in the fifth step, the hierarchical processing and the provision of corresponding help and services are specifically divided into the following 5 levels of the vital and health sign data of multiple users: A , Normal; B, health consultation; C, see a doctor as soon as possible; D, see a doctor immediately; E, first aid; if it is a situation that requires first aid, notify the telephone system and dispatch module to automatically dial the emergency contact or rescue information phone to provide rescue Services; if you are diagnosed with a chronic disease, remind you to see a doctor as soon as possible; if you are diagnosed with an acute or serious disease, remind you to see a doctor immediately, and provide medical consultation services.
The system according to claim 1 or 7 or 8, wherein the monitoring terminal is a computer, a laptop computer or a mobile phone.
A method for implementing a wearable device-based smart health real-time monitoring system according to any one of claims 1-9, characterized in that it comprises the following steps:

(1) The wearable smart terminal detects the user's health status in real time; including real-time automatic detection and collection of vital and health sign data of the wearable smart terminal user;

(2) Intelligent classification of user health data, distinguishing normal health and abnormal health;

(3) Evaluate the health status: if the vital health sign data is normal, the health data will be sent to the data storage module of the monitoring terminal for storage; if it is abnormal, the alarm module will send an alarm;

(4) The monitoring terminal judges how to process according to the received data information: the monitoring processing module receives user real-time health data from the health real-time dynamic module, user location data of the positioning module, and relevant historical health record data of the data storage module, and calls at the same time The diagnostic data collected by the third-party service platform is processed according to the above-mentioned comprehensive judgment of the data; among them, the artificial intelligence analysis and judgment specifically includes the big data health classification, and the big data of the vital health signs of multiple users is divided into the following 5 levels: A, normal; B. Health consultation; C. See a doctor as soon as possible; D. See a doctor immediately; E. First aid;

(5) If it is a situation that requires first aid, call the telephone system and dispatch module to dial the emergency contact or rescue information phone to provide rescue services; if it is diagnosed as a chronic disease, remind to see a doctor as soon as possible; if it is diagnosed as an acute disease or serious Illness, remind to see a doctor immediately and provide medical consultation service;

(6) The monitoring terminal data storage module stores relevant data: the data storage module is used to store real-time and historical data of the alarm module, positioning module, health real-time dynamic module, telephone system and dispatch module, and monitoring processing module;

(7) Set a time to report to the police again;

(8) The artificial intelligence automatically judges whether the user is getting help: if it is, the monitoring process is completed and ends; if not, it returns to step (4) The monitoring terminal judges how to deal with the received data information.