WO2020224041A1 - Système intelligent de surveillance de santé en temps réel basé sur un dispositif portable, et procédé de mise en œuvre associé - Google Patents

Système intelligent de surveillance de santé en temps réel basé sur un dispositif portable, et procédé de mise en œuvre associé Download PDF

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WO2020224041A1
WO2020224041A1 PCT/CN2019/094898 CN2019094898W WO2020224041A1 WO 2020224041 A1 WO2020224041 A1 WO 2020224041A1 CN 2019094898 W CN2019094898 W CN 2019094898W WO 2020224041 A1 WO2020224041 A1 WO 2020224041A1
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module
health
data
user
real
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PCT/CN2019/094898
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Chinese (zh)
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朱继平
朱洪涛
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上海笛乐护斯健康科技有限公司
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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
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • 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
    • 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

Definitions

  • 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.
  • 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.
  • 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.
  • the present invention adopts the following technical solutions:
  • a smart health real-time monitoring system based on a wearable device 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the wearable smart terminal adopts clothing such as wearable bracelets, watches, necklaces, clothes, shoes, socks, belts, etc., clothing, or sports protective gear.
  • 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).
  • an automatic health alarm automatically when a health condition is detected Alarm
  • fall alarm electronic fence alarm
  • electronic fence alarm electronic fence alarm is used to confine the elderly, children, prisoners, dangerous people, military secret facilities, etc.
  • 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 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;
  • 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 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.
  • A Normal
  • B health consultation
  • C see a doctor as soon as possible
  • D see a doctor immediately
  • E first aid
  • People or rescue information calls provide
  • the monitoring terminal may be a terminal device such as a computer, a laptop or a mobile phone.
  • 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:
  • 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;
  • 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;
  • 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;
  • 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.
  • the present invention has the following beneficial effects:
  • 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;
  • the system has the advantages of being fast, efficient and avoiding manual operation errors.
  • 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.
  • 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.
  • 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.
  • 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.
  • FIG. 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.
  • 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.
  • other user information such as age, gender, blood type, medical history, allergy history, etc.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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:
  • 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.
  • 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.
  • 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.
  • building model 2 and model 3 are all real-time and automatic.
  • 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.
  • the present invention also provides a method for implementing a wearable device-based smart health real-time monitoring system, which includes the following steps:
  • 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;
  • 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.
  • 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;
  • 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.
  • 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.
  • 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.

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Abstract

La présente invention concerne un système intelligent de surveillance de santé en temps réel basé sur un dispositif portatif, et un procédé de mise en œuvre pour un système de surveillance intelligent de santé en temps réel. Le système intelligent de surveillance de la santé en temps réel comprend un terminal intelligent portable, une extrémité de surveillance et une plate-forme de service tiers. L'extrémité de surveillance est respectivement connectée au terminal intelligent portable et à la plate-forme de service tiers au moyen d'un réseau ; et la plate-forme de service tiers comprend des institutions médicales, des agences de sécurité publique et des postes de police, des centres de fitness, des centres de nutrition et de diététique et des institutions de consultation psychologique. L'extrémité de surveillance reçoit des données de santé en temps réel d'un utilisateur acquises par un terminal intelligent portable et des données de diagnostic d'utilisateur acquises par une plate-forme de service tiers, stocke les données et les analyse, élabore un rapport de santé d'utilisateur, et fournit un service pour un utilisateur du terminal intelligent portable en fonction des situations. Le système intelligent de surveillance de santé en temps réel peut solliciter activement un utilisateur, et dans les cas où la santé de l'utilisateur indique un danger ou une urgence, notifier en temps réel à une institution médicale de porter secours.
PCT/CN2019/094898 2019-05-07 2019-07-05 Système intelligent de surveillance de santé en temps réel basé sur un dispositif portable, et procédé de mise en œuvre associé WO2020224041A1 (fr)

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CN201910373769.0A CN111916199B (zh) 2019-05-07 2019-05-07 基于可穿戴设备的智能健康实时监控系统及其实现方法

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Cited By (7)

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