CN117275736A - Home-based aged care health monitoring method and system based on Internet of things - Google Patents

Home-based aged care health monitoring method and system based on Internet of things Download PDF

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Publication number
CN117275736A
CN117275736A CN202311549237.0A CN202311549237A CN117275736A CN 117275736 A CN117275736 A CN 117275736A CN 202311549237 A CN202311549237 A CN 202311549237A CN 117275736 A CN117275736 A CN 117275736A
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China
Prior art keywords
health
user
address book
internet
data
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Pending
Application number
CN202311549237.0A
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Chinese (zh)
Inventor
张世涛
陈良伟
杨勇
蹇木蓬
魏永志
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Shandong Bayu Network Technology Co ltd
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Shandong Bayu Network Technology Co ltd
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Priority to CN202311549237.0A priority Critical patent/CN117275736A/en
Publication of CN117275736A publication Critical patent/CN117275736A/en
Pending legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802—Sensor mounted on worn items
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient ; user input means
    • A61B5/7465—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network
    • A61B5/747—Arrangements for interactive communication between patient and care services, e.g. by using a telephone network in case of emergency, i.e. alerting emergency services
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/043—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0453—Sensor means for detecting worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02—Alarms for ensuring the safety of persons
    • G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0438—Sensor means for detecting
    • G08B21/0461—Sensor means for detecting integrated or attached to an item closely associated with the person but not worn by the person, e.g. chair, walking stick, bed sensor
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/40—Information sensed or collected by the things relating to personal data, e.g. biometric data, records or preferences
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/20—Analytics; Diagnosis
    • 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
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

Abstract

The invention is applicable to the technical field of health monitoring, and particularly relates to a home-based care health monitoring method and system based on the Internet of things, wherein the method comprises the following steps: positioning a database of an interaction class App in a user terminal, and acquiring an address book containing friend information in the database; marking out close friends in the address book; acquiring health data of a user in real time based on Internet of things equipment, wherein the Internet of things equipment at least comprises an intelligent mattress and intelligent wearing equipment; building a health information sharing platform based on the health data and the address book; and when the health data is abnormal, generating a risk alarm. According to the invention, the health of the user can be monitored by utilizing the Internet of things equipment, when the abnormal health data is monitored, the risk alarm is generated, and the risk alarm and the preset rescue method are pushed to the close friends, so that the close friends can go to rescue, and the rescue efficiency of the user is effectively improved.

Description

Home-based aged care health monitoring method and system based on Internet of things
Technical Field
The invention relates to the technical field of health monitoring, in particular to a home-based care health monitoring method and system based on the Internet of things.
Background
Along with the aggravation of the aging of the population of the society, the healthy life of the elderly is more and more concerned, at present, partial elderly is excluded from going to places such as a nursing home, the elderly is willing to stay in home, the physical health, diet daily life, medical treatment and the like of the elderly are the most basic life guarantee, but due to the reasons of living habit, work and the like, the elderly generally lives alone, how to monitor the health of the partial elderly is a problem needing to pay attention to, wherein one solution is to monitor the eating habit of the elderly through intelligent household appliances such as an intelligent refrigerator, an intelligent water dispenser and the like by utilizing the Internet of things equipment, such as the intelligent wearing equipment to monitor the body parameter information of the elderly in real time.
However, due to the limitation of the self-ability of the old, when the old is in a healthy state, the old can not perform self-rescue, and the best rescue time is often delayed, so that great hidden danger is caused to the home-based care safety of the old; in addition, children of the old often have a long distance, cannot go to the residence of the old in time, and also delay rescue time; therefore, how to inform close friends to rescue when the health of the old people is in condition is a technical problem to be solved by the invention.
Disclosure of Invention
The invention aims to provide a home-based care health monitoring method based on the Internet of things, which aims to solve the problem of 'how to inform close friends to rescue when the health of the elderly appears' in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a home care health monitoring method based on the internet of things, the method comprising:
positioning a database of an interaction class App in a user terminal, and acquiring an address book containing friend information in the database;
marking out close friends in the address book;
acquiring health data of a user in real time based on Internet of things equipment, wherein the Internet of things equipment at least comprises an intelligent mattress and intelligent wearing equipment;
building a health information sharing platform based on the health data and the address book;
and when the health data is abnormal, generating a risk alarm, and pushing the risk alarm and a preset rescue method to close friends through a health information sharing platform.
Further, the database of the interaction class App in the user terminal is positioned, and an address book containing friend information in the database is obtained; the step of marking out the close friends in the address book comprises the following steps:
positioning a database of the interaction class App in the user terminal according to the name of the interaction class App;
acquiring an address book from the database, and determining the affinity between a user and each friend in the address book;
and sequencing all friends in the address book according to the intimacy, and selecting a preset number of address book friends as intimacy friends in the front sequencing result.
Further, based on thing networking equipment gathers user's health data in real time, wherein thing networking equipment includes intelligent mattress and intelligent wearing equipment's step at least includes:
extracting features of the health data to generate health feature data, and performing dynamic behavior analysis to obtain health dynamic behavior data;
drawing a health parameter curve of the user based on the acquired health dynamic behavior data;
and when the health parameter curve exceeds a numerical interval defined in advance, generating alarm information and sending the alarm information to a user.
Further, the step of building the health information sharing platform based on the health data and the address book includes:
integrating the health data and the address book, and building a health information sharing platform;
and opening a dynamic user release window, determining an executable privacy policy, receiving a user selection request of the privacy policy, and setting a disclosure mode of the user dynamic in the health information sharing platform.
Further, when the health data is abnormal, generating a risk alarm, and pushing the risk alarm and a preset rescue method to close friends through a health information sharing platform, wherein the steps include:
receiving a rescue method edited by a user;
converting the alarm information in the Internet of things equipment into a risk warning;
based on the disclosed approach, rescue methods and risk warnings are pushed to close friends.
Further, the method further comprises:
tracking key indexes in the health data based on the Internet of things equipment;
establishing a multi-element health assessment model, sending the key indexes into the multi-element health assessment model, predicting health risks of users, and generating a prediction report;
and sending the prediction report to a user.
Further, the method further comprises:
determining a pre-bound affinity account of a user in an interaction class App, and sending the health data and the risk alert to the affinity account;
and when the user health data is abnormal, collecting voice information of the user in real time, and constructing a voice chat dialogue box of the user and the family account.
Further, the system includes:
the marking module can position a database of an interaction class App in the user terminal, acquire an address book containing friend information in the database, and mark close friends in the address book;
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module can acquire health data of a user in real time based on Internet of things equipment, and the Internet of things equipment at least comprises an intelligent mattress and intelligent wearing equipment;
the building module can build a health information sharing platform based on the health data and the address book;
and the pushing module can generate a risk alarm when the health data is abnormal, and push the risk alarm and a preset rescue method to close friends through the health information sharing platform.
Further, the marking module includes:
the affinity determining unit can locate a database of the interaction class App in the user terminal according to the name of the interaction class App; acquiring an address book from the database, and determining the affinity between a user and each friend in the address book;
and the close friends selecting unit can sort the friends in the address book according to the close degree, and select the preset number of the address book friends as close friends in the front sorting result.
Further, the acquisition module includes:
the data processing unit is capable of extracting characteristics of the user health data to generate health characteristic data, and performing dynamic behavior analysis to acquire health dynamic behavior data;
the health parameter curve drawing unit can draw a health parameter curve of the user based on the acquired health dynamic behavior data;
the alarm information sending unit can generate alarm information and send the alarm information to a user when the health parameter curve exceeds a numerical section defined in advance.
Compared with the prior art, the invention has the beneficial effects that:
1. by utilizing the Internet equipment, the health data of the user can be monitored, and a reference is provided for daily home care activities of the user; by determining close friends, proper rescue personnel can be selected while the privacy of the user is ensured; when the Internet equipment monitors that the health data of the user is abnormal, the risk warning and rescue method is pushed to the close friends, so that the close friends can arrive at the user residence in time, and proper rescue activities are carried out by utilizing the rescue method, thereby ensuring that the user can be rescued in time, and greatly improving the rescue efficiency of the user.
2. The health condition of the user can be predicted by tracking key indexes in the health data of the user so as to be ready for rescue by the user, and the self rescue effect of the user can be improved by establishing voice connection between the user and an affinity account and simultaneously conducting remote guidance on self rescue of the user when establishing communication between the user and the outside.
Drawings
Fig. 1 is a flow chart of a home care health monitoring method based on the internet of things, which is provided by the embodiment of the invention;
fig. 2 is a first sub-flowchart block diagram of a home-based care health monitoring method based on the internet of things according to an embodiment of the present invention;
fig. 3 is a second sub-flowchart block diagram of a home-based care health monitoring method based on the internet of things according to an embodiment of the present invention;
fig. 4 is a third sub-flowchart block diagram of a home-based care health monitoring method based on the internet of things according to an embodiment of the present invention;
fig. 5 is a fourth sub-flowchart block diagram of a home-based care health monitoring method based on the internet of things according to an embodiment of the present invention;
fig. 6 is a block diagram of a home-based care health monitoring system based on the internet of things according to an embodiment of the present invention;
fig. 7 is a block diagram of a marking module in a home care health monitoring system based on the internet of things according to an embodiment of the present invention;
fig. 8 is a block diagram of an acquisition module in a home care health monitoring system based on the internet of things, which is provided by an embodiment of the invention;
fig. 9 is a block diagram of a building module in a home care health monitoring system based on the internet of things, which is provided by the embodiment of the invention;
fig. 10 is a block diagram of a push module in a home care health monitoring system based on the internet of things according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In embodiment 1, fig. 1 shows a flow of implementation of the home-based care health monitoring method based on the internet of things, which is described in detail below:
s100: positioning a database of an interaction class App in a user terminal, and acquiring an address book containing friend information in the database; and marking out close friends in the address book.
Searching a database of an interaction class App in a user terminal, and searching an address book of a user in the database, wherein the address book comprises names and contact ways of friends, required notes and the like, the required notes can be a past medical history, a rescue method and the like, and the close friends are marked in the address book;
by constructing an address book in the interaction class App, a mutual friend circle can be constructed, and when a certain user needs help, rescue can be sought in the mutual friend circle; in addition, the close friends and users should have a relatively short residence distance, which may be 3km, 4km, etc., and if the distance is exceeded, the close friends cannot be determined, because if the distance is relatively long, the users cannot arrive at the residence of the users at the first time and rescue is carried out, so that the best rescue opportunity is delayed, and the rescue effect is affected (the users are old people in home and aged, particularly the elderly living alone who cannot rescue the old people in time, because the distance is relatively long).
S200: health data of a user is collected in real time based on Internet of things equipment, wherein the Internet of things equipment at least comprises an intelligent mattress and intelligent wearing equipment.
In a user residence, a network for using the Internet of things equipment is established, health data of the old are monitored in real time, for example, heartbeat, blood pressure and the like of the old are monitored by using intelligent wearing equipment, sleep data of the old are recorded by using an intelligent mattress, and activity conditions of the old are recorded by using a human body sensor; the Internet of things equipment is used for monitoring activities such as the body, life and the like of the old, so that diseases can be found and diagnosed as soon as possible, and the home-based aged life of the old is guided and assisted.
S300: and building a health information sharing platform based on the health data and the address book.
The health information sharing platform is similar to a friend circle, the old can release the health data, home care mind and the like in the health information sharing platform, meanwhile, a comment window is opened in the health information sharing platform, and users can communicate in the health information sharing platform; of course, the health data, the past medical history and the like of the user can be stored in the health information sharing platform, and when the health data of the user is abnormal, part of personnel can better rescue the old through inquiring the health information sharing platform, so that rescue efficiency is improved.
S400: and when the health data is abnormal, generating a risk alarm, and pushing the risk alarm and a preset rescue method to close friends through a health information sharing platform.
When the Internet equipment monitors that the health data is abnormal, a risk alarm is generated, the risk alarm and a rescue method edited by a user in advance are sent to close friends, and when the close friends receive pushing, the real-time health data, the past medical history, the rescue method and the like of the user can be checked by clicking a pushing window.
In embodiment 2, fig. 2 shows an implementation flow of the home care health monitoring method based on the internet of things, where the following is performed on a database of an interaction App in the positioning user terminal, and an address book containing friend information in the database is obtained; the step of marking out close friends in the address book is described in detail as follows:
s101: positioning a database of the interaction class App in the user terminal according to the name of the interaction class App; and acquiring an address book from the database, and determining the affinity between the user and each friend in the address book.
The corresponding database can be found by utilizing the name of the interaction class App, the address book of the user and the communication records of the user and the friends are found in the database, and the affinity of the user and the friends is determined according to the communication frequency of the user and the friends; the more frequently a user communicates with a friend, the higher the affinity of the user and the friend.
S102: and sequencing all friends in the address book according to the intimacy, and selecting a preset number of address book friends as intimacy friends in the front sequencing result.
Sorting the intimacy degree of each friend in the address book, wherein a user can freely determine the number of the intimacy friends, for example, 3 friends with highest intimacy degree are selected as the intimacy friends; the close friends have higher privacy viewing authority, and the application range of the privacy viewing authority can be freely set by the user; for example, when abnormal health data of the user is monitored, warning information is pushed to the close friends, and at the moment, the close friends can check the health data of the user in real time, but other friends in the address book are not.
In embodiment 3, fig. 3 shows a flow for implementing the home care health monitoring method based on the internet of things, and the following details are given on the steps of collecting health data of a user in real time based on the internet of things device, where the internet of things device at least includes an intelligent mattress and an intelligent wearable device, and the steps are as follows:
s201: and extracting the characteristics of the health data to generate health characteristic data, and performing dynamic behavior analysis to acquire health dynamic behavior data.
After the health data of the user are collected by utilizing the Internet of things equipment, the health data are subjected to processing such as cleaning and feature extraction, so that health feature data are obtained, dynamic behavior analysis is carried out on the health feature data, the development trend of the health data of the user is determined, for example, the blood pressure data of the user are monitored, and the development trend of the blood pressure data of the user can be obtained through the analysis and the processing of the data, and is the health dynamic behavior data;
by processing the health data, the accuracy of development trend display can be greatly improved, so that guidance is provided for the home-based aged life of the user.
S202: and drawing a health parameter curve of the user based on the acquired health dynamic behavior data.
Drawing a health parameter curve of the user by using the health dynamic behavior data, wherein the abscissa of the curve is a fixed time interval, and the ordinate is the health dynamic behavior data; for example, if the blood pressure value of the user is always increasing in the same monthly time interval, the monthly increase thereof is taken as the ordinate; by integrating the data, the health parameter curve can be drawn by using the time interval of each month as the abscissa and the blood pressure value increment as the ordinate.
S203: and when the health parameter curve exceeds a numerical interval defined in advance, generating alarm information and sending the alarm information to a user.
If the ordinate of the health parameter curve exceeds a numerical interval defined in advance, generating alarm information, and sending the alarm information to a user to remind the user to pay important attention to the health data.
In embodiment 4, fig. 4 shows a flow for implementing the home care health monitoring method based on the internet of things according to the embodiment of the present invention, and the steps for building a health information sharing platform based on the health data and the address book are described in detail below, as follows:
s301: and integrating the health data and the address book, and building a health information sharing platform.
And building a health information sharing platform, and integrating the health data and address book of the user into the platform.
S302: and opening a dynamic user release window, determining an executable privacy policy, receiving a user selection request of the privacy policy, and setting a disclosure mode of the user dynamic in the health information sharing platform.
Opening a user dynamic release window through which a user can release personal dynamic, determining a privacy policy, wherein the privacy policy is visible or invisible for appointed friends, and determining a disclosure mode of the user dynamic in a health information sharing platform according to the selection of the user on the privacy policy, so as to finish the display of the user dynamic;
through the dynamic display of the user, the user can share the personal feelings, physical conditions and the like, and the mind of the user is convenient to dredge.
In embodiment 5, fig. 5 shows a flow for implementing the home care health monitoring method based on the internet of things, and the following details are given on steps of generating a risk alarm when the health data is abnormal, and pushing the risk alarm and a preset rescue method to close friends through a health information sharing platform, where the steps are as follows:
s401: a rescue method edited by a user is received.
The user edits the rescue method which can be needed by the user in the health information sharing platform according to the self condition, such as an extrathoracic heart pressing method, a storage position of a certain first-aid medicine in the home of the user, and the like, and when the close friends receive the rescue method, the user can be rescued according to the rescue method.
S402: converting the alarm information in the Internet of things equipment into a risk warning; based on the disclosed approach, rescue methods and risk warnings are pushed to close friends.
Converting the alarm information in the Internet of things equipment into a risk warning, pushing the risk warning to close friends according to a set public mode, and simultaneously pushing rescue methods edited by a user to the close friends;
after receiving the push information, the close friends can go to the user residence, and rescue the user by using a rescue method in the push information.
In embodiment 6, unlike embodiment 1, in an embodiment of the present invention, the method further includes:
tracking key indexes in the health data based on the Internet of things equipment;
establishing a multi-element health assessment model, sending the key indexes into the multi-element health assessment model, predicting health risks of users, and generating a prediction report;
and sending the prediction report to a user.
Key indexes in key tracking health data, such as old heart diseases of a user, are mainly tracked by using intelligent wearing equipment, an electrocardiogram detector and the like, a multi-element health evaluation model is built, the model is trained by using the existing data set, and the data set consists of heart detection data of normal people; after training is completed, inputting key indexes into a multi-element health assessment model, predicting health risks of users, and generating a prediction report;
according to the prediction report, the user can better grasp the development trend of the health condition of the user, so that guidance is provided for the home-based aged life of the user.
In embodiment 7, unlike embodiment 1, in an embodiment of the present invention, the method further includes:
determining a pre-bound affinity account of a user in an interaction class App, and sending the health data and the risk alert to the affinity account;
and when the user health data is abnormal, collecting voice information of the user in real time, and constructing a voice chat dialogue box of the user and the family account.
The user binds a relative account number in the interaction class App, wherein the relative account number can be a child or a nearby medical institution, when the health data of the user is abnormal, voice information of the user is collected in real time, voice chat between the user and the relative account number is established, and communication between the user and the outside is established, so that the user is better guided to save oneself;
when the health data of the user is abnormal, the user may be in an emergency and cannot call for help, and at this time, it is necessary to establish communication between the user and the outside.
Fig. 6 shows a block diagram of a composition structure of a home care health monitoring system based on the internet of things, where the home care health monitoring system 1 based on the internet of things includes:
the marking module 11 can locate a database of an interaction class App in the user terminal, acquire an address book containing friend information in the database, and mark close friends in the address book;
the acquisition module 12 is capable of acquiring health data of a user in real time based on an internet of things device, wherein the internet of things device at least comprises an intelligent mattress and an intelligent wearing device;
the building module 13 can build a health information sharing platform based on the health data and the address book;
the pushing module 14 may generate a risk alarm when the health data is abnormal, and push the risk alarm and a preset rescue method to close friends through a health information sharing platform.
Fig. 7 shows a block diagram of a composition structure of a home care health monitoring system based on the internet of things, where the marking module 11 includes:
an affinity determining unit 111 capable of locating a database of an interaction class App in the user terminal according to the name of the interaction class App; acquiring an address book from the database, and determining the affinity between a user and each friend in the address book;
the close friends selecting unit 112 may sort the friends in the address book according to the close degree, and select a preset number of friends in the address book as close friends in the previous sorting result.
Fig. 8 shows a block diagram of a composition structure of a home care health monitoring system based on the internet of things, where the acquisition module 12 includes:
the data processing unit 121 is capable of performing feature extraction on the user health data to generate health feature data, and performing dynamic behavior analysis to obtain health dynamic behavior data;
the health parameter curve drawing unit 122 may determine a health parameter curve of the user based on the acquired health dynamic behavior data;
the alarm information transmitting unit 123 is capable of generating alarm information and transmitting the alarm information to the user when the health parameter curve exceeds a numerical section defined in advance.
Fig. 9 shows a block diagram of a composition structure of a home care health monitoring system based on the internet of things, where the building module 13 includes:
the integration unit 131 can integrate the health data and the address book and build a health information sharing platform;
the dynamic publishing unit 132 may open a user dynamic publishing window, determine an executable privacy policy, receive a user selection request for the privacy policy, and set a disclosure mode of the user dynamic in the health information sharing platform.
Fig. 10 shows a block diagram of a composition structure of a home care health monitoring system based on the internet of things, where the pushing module 14 includes:
a rescue method editing unit 141 capable of receiving a rescue method edited by a user;
the pushing unit 142 can convert the alarm information in the internet of things device into a risk warning; based on the disclosed approach, rescue methods and risk warnings are pushed to close friends.
Wherein step S100 is mainly completed by the marking module 11, step S200 is mainly completed by the collecting module 12, step S300 is mainly completed by the building module 13, and step S400 is mainly completed by the pushing module 14;
wherein the affinity determining unit 111 is mainly used for completing S101, and the affinity friend selecting unit 112 is mainly used for completing step S102;
the data processing unit 121 is mainly used for completing step S201, the health parameter curve drawing unit 122 is mainly used for completing step S202, and the alarm information transmitting unit 123 is mainly used for completing step S203;
the integrating unit 131 is mainly used for completing step S301, and the dynamic publishing unit 132 is mainly used for completing step S302;
the rescue method editing unit 141 is mainly used for completing step S401, and the pushing unit 142 is mainly used for completing step S402.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (10)

1. The home-based care health monitoring method based on the Internet of things is characterized by comprising the following steps of:
positioning a database of an interaction class App in a user terminal, and acquiring an address book containing friend information in the database;
marking out close friends in the address book;
acquiring health data of a user in real time based on Internet of things equipment, wherein the Internet of things equipment at least comprises an intelligent mattress and intelligent wearing equipment;
building a health information sharing platform based on the health data and the address book;
and when the health data is abnormal, generating a risk alarm, and pushing the risk alarm and a preset rescue method to close friends through a health information sharing platform.
2. The method of claim 1, wherein the locating the database of the interactive App in the user terminal obtains an address book containing friend information in the database; the step of marking out the close friends in the address book comprises the following steps:
positioning a database of the interaction class App in the user terminal according to the name of the interaction class App;
acquiring an address book from the database, and determining the affinity between a user and each friend in the address book;
and sequencing all friends in the address book according to the intimacy, and selecting a preset number of address book friends as intimacy friends in the front sequencing result.
3. The method of claim 1, wherein the step of collecting health data of the user in real time based on the internet of things device, wherein the internet of things device comprises at least an intelligent mattress and an intelligent wearable device comprises:
extracting features of the health data to generate health feature data, and performing dynamic behavior analysis to obtain health dynamic behavior data;
drawing a health parameter curve of the user based on the acquired health dynamic behavior data;
and when the health parameter curve exceeds a numerical interval defined in advance, generating alarm information and sending the alarm information to a user.
4. The method of claim 3, wherein the step of building a health information sharing platform based on the health data and address book comprises:
integrating the health data and the address book;
and opening a dynamic user release window, determining an executable privacy policy, receiving a user selection request of the privacy policy, and setting a disclosure mode of the user dynamic in the health information sharing platform.
5. The method of claim 4, wherein the step of generating a risk alert when the health data is abnormal and pushing the risk alert and a preset rescue method to close friends through a health information sharing platform comprises:
receiving a rescue method edited by a user;
converting the alarm information in the Internet of things equipment into a risk warning;
based on the disclosed approach, rescue methods and risk warnings are pushed to close friends.
6. The method of claim 5, wherein the method further comprises:
tracking key indexes in the health data based on the Internet of things equipment;
establishing a multi-element health assessment model, sending the key indexes into the multi-element health assessment model, predicting health risks of users, and generating a prediction report;
and sending the prediction report to a user.
7. The method of claim 6, wherein the method further comprises:
determining a pre-bound affinity account of a user in an interaction class App, and sending the health data and the risk alert to the affinity account;
and when the user health data is abnormal, collecting voice information of the user in real time, and constructing a voice chat dialogue box of the user and the family account.
8. A home care health monitoring system based on the internet of things, the system comprising:
the marking module can position a database of an interaction class App in the user terminal, acquire an address book containing friend information in the database, and mark close friends in the address book;
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module can acquire health data of a user in real time based on Internet of things equipment, and the Internet of things equipment at least comprises an intelligent mattress and intelligent wearing equipment;
the building module can build a health information sharing platform based on the health data and the address book;
and the pushing module can generate a risk alarm when the health data is abnormal, and push the risk alarm and a preset rescue method to close friends through the health information sharing platform.
9. The system of claim 8, the marking module comprising:
the affinity determining unit can locate a database of the interaction class App in the user terminal according to the name of the interaction class App; acquiring an address book from the database, and determining the affinity between a user and each friend in the address book;
and the close friends selecting unit can sort the friends in the address book according to the close degree, and select the preset number of the address book friends as close friends in the front sorting result.
10. The system of claim 8, the acquisition module comprising:
the data processing unit is capable of extracting characteristics of the user health data to generate health characteristic data, and performing dynamic behavior analysis to acquire health dynamic behavior data;
the health parameter curve drawing unit can draw a health parameter curve of the user based on the acquired health dynamic behavior data;
the alarm information sending unit can generate alarm information and send the alarm information to a user when the health parameter curve exceeds a numerical section defined in advance.
CN202311549237.0A 2023-11-21 2023-11-21 Home-based aged care health monitoring method and system based on Internet of things Pending CN117275736A (en)

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