CN113782208A - Family health assessment and intervention system based on intelligent rehabilitation equipment - Google Patents
Family health assessment and intervention system based on intelligent rehabilitation equipment Download PDFInfo
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- CN113782208A CN113782208A CN202111224626.7A CN202111224626A CN113782208A CN 113782208 A CN113782208 A CN 113782208A CN 202111224626 A CN202111224626 A CN 202111224626A CN 113782208 A CN113782208 A CN 113782208A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- 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
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Abstract
The invention discloses a family health assessment and intervention system based on intelligent rehabilitation equipment, which comprises a data acquisition module, a simulation modeling and assessment module and a health intervention module; the data acquisition module is used for acquiring the health state and the home environment data of an individual in real time and transmitting the acquired health state and home environment data to the simulation modeling and evaluation module, wherein the home environment data can be indoor home environment, community environment and the like; and the health intervention module generates individual health intervention data according to the individual evaluation condition and the health intervention strategy of the simulation modeling and evaluation module. The invention realizes the rehabilitation intervention at home and the reasonable scheduling of medical resources under the closed-loop service of families, communities and hospitals, promotes the active participation of consumers in health management and maintenance centers, improves the management level of medical and health institutions and improves the service capability of hospitals.
Description
Technical Field
The invention relates to the technical field of medical health, in particular to a family health assessment and intervention system based on intelligent rehabilitation equipment.
Background
The dangers of chronic diseases have become one of the major community public health problems. For example, the chronic disease of the elderly is a main disease which endangers the health of the elderly, hospitalization is often needed in the acute attack stage, and later rehabilitation can be performed in community health service institutions and families, but the current hospital resources are relatively short, the community medical technology is lagged, and the family care capability is insufficient, so that the treatment and rehabilitation of the chronic disease of the elderly are in a split type service. Aiming at the problems that the scale of the medical health data of residents is small, the visualization is poor, and the data intercommunication of families, communities and hospitals is not realized for chronic diseases, disabled/incapacitated people and the like at present. Therefore, the patient with chronic disease, disability/disability and the like can not be well subjected to targeted health intervention or guidance, and the rehabilitation of the patient is not facilitated.
Disclosure of Invention
The invention provides a family health assessment and intervention system based on intelligent rehabilitation equipment, which aims to solve the technical problems that: the existing chronic diseases, disabled/incapacitated people and the like do not realize the intercommunication of family, community and hospital data, so that the intervention or rehabilitation guidance of the patients cannot be pertinently realized.
In view of the above problems of the prior art, according to one aspect of the present disclosure, the following technical solutions are adopted in the present invention:
a family health assessment and intervention system based on intelligent rehabilitation equipment, comprising:
the data acquisition module is used for acquiring the health state and the home environment data of an individual in real time and transmitting the acquired health state and home environment data to the simulation modeling and evaluation module;
the simulation modeling and evaluation module is used for modeling the health state and the home environment data according to the received health state and home environment data to generate a data twin model of a specific monitored individual and identifying and evaluating the health of the individual;
and the health intervention module generates individual health intervention data according to the individual evaluation condition and the health intervention strategy of the simulation modeling and evaluation module and transmits the health intervention data to the use terminal.
In order to better realize the invention, the further technical scheme is as follows:
further, the health intervention module is further in data connection with a medical platform management system, the health intervention module acquires medical order information from the medical platform management system or the medical platform management system sends the medical order information to the health intervention module, and the health intervention module combines the medical order information to form health intervention data and feeds the health intervention data back to the use terminal.
Further, after the user terminal receives the health intervention data, the data acquisition module acquires the health state and the home environment data of the corresponding individual again, and transmits the acquired health state and home environment data to the simulation modeling and evaluation module again.
Further, the data acquisition module acquires the acquired data from the individual rehabilitation equipment and the environment monitoring equipment.
Further, the rehabilitation device comprises a portable wearable device and a family health device.
Further, still include:
and the health early warning module receives the individual health assessment data of the simulation modeling and assessment module, classifies the individual health assessment data according to risk levels, generates alarm prompt information according to preset alarm conditions, and sends the alarm prompt information to the use terminal and/or the medical platform management system.
Further, also includes
The health knowledge database stores image knowledge and text knowledge related to rehabilitation diagnosis and treatment, and the using terminal can read the image knowledge and the text knowledge.
Further, the simulation modeling and evaluation module forms a health state identification method based on a deep learning algorithm according to the monitored physiological, psychological state and behavior of healthy residents, chronic diseases, disabilities/disabilities and the relevant data of the home environment, and establishes a resident health evaluation system.
Further, the health intervention strategy is dynamically updated according to the fusion and mining of the resident health big data, the neural network, the machine learning and the expert suggestion.
Further, still include:
and the resource distribution module generates reasonable scheduling information of the medical resource service according to the spatial position data of the hospital, the occupation condition of the medical resource and the individual spatial position information, and sends the reasonable scheduling information to the use terminal and/or feeds the reasonable scheduling information back to the medical platform management system.
Compared with the prior art, the invention has the following beneficial effects:
the household health assessment and intervention system based on the intelligent rehabilitation equipment is oriented to data fusion, visualization and interconnection of the whole life cycle of residents, so that the health of the residents is monitored and assessed, the household rehabilitation intervention is realized, the mapping rate of an environment cloud simulation system to a physical scene is improved through the environment cloud simulation system based on the digital twin, the reasonable scheduling of medical resources under the closed-loop service of families, communities and hospitals is realized, the consumers are promoted to participate in a health management and maintenance center more actively, the management level of medical health institutions is improved, and the service capacity of the hospitals is improved.
Drawings
For a clearer explanation of the embodiments or technical solutions in the prior art of the present application, the drawings used in the description of the embodiments or prior art will be briefly described below, it is obvious that the drawings in the following description are only references to some embodiments in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of a home health assessment and intervention system based on an intelligent rehabilitation device according to an embodiment of the invention.
Fig. 2 is a schematic diagram of a home health assessment and intervention system based on an intelligent rehabilitation device according to another embodiment of the invention.
Fig. 3 is a schematic diagram of the components of a data acquisition module according to an embodiment of the invention.
Fig. 4 is a schematic diagram of a home health assessment and intervention system based on an intelligent rehabilitation device according to another embodiment of the invention.
Fig. 5 is a schematic diagram of a home health assessment and intervention system based on an intelligent rehabilitation device according to another embodiment of the invention.
Fig. 6 is a schematic diagram of a home health assessment and intervention system based on an intelligent rehabilitation device according to another embodiment of the invention.
Detailed Description
The present invention will be described in further detail with reference to examples, but the embodiments of the present invention are not limited thereto.
Referring to fig. 1, a family health assessment and intervention system based on intelligent rehabilitation equipment comprises a data acquisition module 1, a simulation modeling and assessment module 2 and a health intervention module 3; the data acquisition module 1 is used for acquiring the health state and the home environment data of an individual in real time and transmitting the acquired health state and home environment data to the simulation modeling and evaluation module 2, wherein the home environment data can be indoor home environment, community environment and the like; the simulation modeling and evaluation module 2 models the health state and the home environment data according to the received health state and home environment data to generate a data twin model of a specific monitored individual, and identifies and evaluates the health of the individual; the health intervention module 3 generates individual health intervention data according to the individual evaluation condition and the health intervention strategy of the simulation modeling and evaluation module 2, and transmits the health intervention data to the use terminal 4.
The simulation modeling and evaluation module 2 forms a health state identification method based on a deep learning algorithm according to the monitored physiological, psychological state and behavior of healthy residents, chronic diseases, disabilities/disabilities and the relevant data of the home environment, and establishes a resident health evaluation system.
And the health intervention strategy is dynamically updated according to the fusion and mining of the resident health big data, the neural network, the machine learning and the expert suggestion.
The health intervention data comprises health management schemes of providing personal disease prevention, health risk factor early warning, rehabilitation intervention (including training, diet and the like), home environment intervention, health education and the like.
According to the family health assessment and intervention system based on the intelligent rehabilitation equipment, disclosed by the invention, the data of the wearable equipment of residents, the data of the family/community intelligent sensing equipment, the data of a regional medical platform (large, medium and small hospital databases) and the like which are extremely dispersed in space are interconnected, intercommunicated and interoperated, so that the dynamic and efficient management and control and information intercommunication of residents and medical resources are realized, and the cross-regional medical cooperation is constructed.
As shown in fig. 2, the health intervention module 3 further establishes a data connection with a medical platform management system 5, the health intervention module 3 obtains order information from the medical platform management system 5 or the medical platform management system 5 sends the order information to the health intervention module 3, and the health intervention module 3 combines the order information to form health intervention data and feeds the health intervention data back to the user terminal 4.
After the user terminal 4 receives the health intervention data, the data acquisition module 1 acquires the health state and the home environment data of the corresponding individual again, and transmits the acquired health state and home environment data to the simulation modeling and evaluation module 2 again.
As shown in fig. 3, the sources of the acquired data of the data acquisition module 1 include an individual rehabilitation device 6 and an environment monitoring device 7. The rehabilitation device 6 comprises a portable wearable device, a family health device and the like.
An embodiment shown in fig. 4 includes a health early warning module 8, where the health early warning module 8 receives the individual health assessment data of the simulation modeling and assessment module 2, classifies risk levels of the individual health assessment data, generates alarm prompt information according to a preset alarm condition, and sends the alarm prompt information to the user terminal 4 and/or the medical platform management system 5.
An embodiment as shown in fig. 5 comprises a health knowledge database 9, wherein the health knowledge database 9 stores therein image knowledge and text knowledge related to rehabilitation treatment, and the user terminal 4 can read the image knowledge and the text knowledge.
For example, concepts such as chronic diseases, related disease categories of disabled persons/incapacitators, diagnosis and treatment methods and rehabilitation environments are predefined, related original data of the concepts are captured from organization data sources such as a regional medical information platform (large, medium and small hospital databases), in a resource management layer of a marginal cloud, knowledge can be extracted and expressed by a knowledge processing method facing natural languages and images, and a tree-shaped medical knowledge graph is constructed semi-automatically. And in a resource management layer of the central cloud, the multi-modal knowledge is merged and deduplicated by a dynamic reasoning method of the multi-modal knowledge, and the acquired knowledge is reasoned and expanded based on a dynamic reasoning model to complete a sparse knowledge base and construct a knowledge map for rehabilitation diagnosis and treatment of chronic diseases, disabilities/disabilities.
One embodiment shown in fig. 6 includes a resource allocation module 10, where the resource allocation module 10 generates reasonable scheduling information of medical resource services according to spatial location data of a hospital, medical resource occupation conditions, and individual spatial location information, and sends the reasonable scheduling information to a user terminal and/or feeds the reasonable scheduling information back to the medical platform management system 5.
For example, based on the home environment structure and layout data and the community facility structure data acquired by the intelligent sensing equipment, in the application layer of the edge cloud, a real-time home/community physical environment simulation model can be constructed through a multi-scale fusion modeling method, and a distributed computing architecture based on the edge cloud can be used for realizing a high-speed stable data transmission network topological structure and improving the mapping rate of the environment cloud simulation system to the physical scene. On the basis, the space position data and the medical resource occupation condition of each hospital are combined, and the reasonable scheduling of the medical resources under the family-community-hospital closed-loop service is realized based on a dynamically planned medical resource scheduling model.
The following is further illustrated by a specific example:
the family health assessment and intervention system based on the intelligent rehabilitation equipment at least comprises a cerebral palsy, paraplegia, diabetes, hypertension, coronary heart disease and other more than 5 chronic disease rehabilitation knowledge bases and intelligent diagnosis and intervention decision models, and demonstrates that the number of families is not less than 15.
The system collects motion data, vital sign data and home environment data of key people through intelligent rehabilitation equipment such as portable equipment or an intelligent robot; uploading to a cloud server through an APP or a home data gateway; the data collected in real time is modeled in 4D to generate a data twin model of a specific monitoring individual; the system combines the health knowledge base to evaluate the individual health; real-time perception and early warning of the individual health state are achieved, and slow disease rehabilitation advice feedback is carried out through a preset health intervention system. After receiving the guiding medical advice, the patient performs planned targeted rehabilitation training, and related data of the rehabilitation training is collected again so as to form a full-period continuous closed-loop chronic disease rehabilitation service.
(1) Selection of chronic disease species
Selecting at least 5 kinds of chronic diseases, including more than 3 kinds of common senile chronic diseases, diabetes, hypertension, heart disease, etc.;
2 disabled/incapacitated disease species: cerebral palsy and paraplegia, wherein 2 families are used for demonstrating cerebral palsy, 3 families are used for demonstrating paraplegia, and not less than 10 families (including compound disease) with other disease species.
(2) Data acquisition
Collecting equipment: including portable wearing equipment and smart machine and house environment acquisition equipment.
A portable device: the system comprises an intelligent blood pressure meter, an intelligent blood glucose meter, an intelligent bracelet, an intelligent watch (supporting a mobile phone APP), portable electrocardio monitoring equipment and the like;
the intelligent equipment: a Broffalo walking-aid exoskeleton robot, a hemiplegic exoskeleton robot, a child ankle-foot orthosis and the like.
The home data aggregation gateway: the data collected by the air, noise, illumination and water quality sensors are cleaned and standardized, and the data are sent to the cloud server through the network.
② collecting data
Hypertension: blood pressure, heart rate (bluetooth transmission, set up early warning value), cardiovascular and cerebrovascular (portable electrocardio monitoring facilities), the condition of using medicine.
Diabetes mellitus: blood sugar (a non-invasive blood sugar sensor, which is provided with an early warning value (upper limit/lower limit), and real-time medicine dosage adjustment), cardiovascular and cerebrovascular conditions, and medicine taking conditions, and eyeground and peripheral nerves are monitored regularly.
Coronary heart disease: blood pressure, heart rate, and electrocardiogram.
Patients with cerebral palsy and paraplegia: vital sign data, muscle force/muscle tension provided by intelligent equipment (such as an exoskeleton robot) (a wearable surface myoelectricity acquisition system), joint activity, posture/balance/fall risk, gait (a pressure plate, a flexible pressure sensor, a stretching sensor, an inertial sensor) and other parameters.
In conclusion, the invention breaks through key technologies such as intelligent rehabilitation evaluation and rehabilitation aid decision based on artificial intelligence technology by combining medical expert knowledge aiming at common chronic diseases and functional disabilities; a full-life-cycle digital health foundation cloud platform based on a digital twin technology is planned to be constructed, and a series of digital, visual and intelligent autonomous products oriented to family health management, chronic disease prevention and treatment, functional rehabilitation training and the like are developed; the information interconnection and intercommunication of intelligent rehabilitation and evaluation equipment in medical institutions, families and communities is realized; the closed-loop continuous family chronic disease rehabilitation full life cycle management of rehabilitation data acquisition, digital twin modeling, health real-time monitoring, rehabilitation diagnosis and intervention is realized. By means of health risk factor control and old health service, new-generation information technologies such as mobile internet, big data, wearable and cloud computing are fused, an active health is taken as a guide, a health monitoring scheme based on combination of health indexes and a home living environment is established, a digital health cloud platform facing to the whole life cycle of residents is built, and a health management closed-loop continuous service mode of home-community-hospital is adopted. Breakthrough of the dynamic identification and health risk assessment of health imbalance states and the dynamic matching of accurate rehabilitation intervention schemes based on managed and controllable heterogeneous data interactive fusion, active sensing and remote monitoring based on a digital twin technology model, and digital health assessment index characteristics of different crowds; a digital health family service cloud platform of a family doctor health service management application system is established.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Reference throughout this specification to "one embodiment," "another embodiment," "an embodiment," etc., means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment described generally in this application. The appearances of the same phrase in various places in the specification are not necessarily all referring to the same embodiment. Further, when a particular feature, structure, or characteristic is described in connection with any embodiment, it is submitted that it is within the scope of the invention to effect such feature, structure, or characteristic in connection with other embodiments.
Although the invention has been described herein with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More specifically, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the disclosure and claims of this application. In addition to variations and modifications in the component parts and/or arrangements, other uses will also be apparent to those skilled in the art.
Claims (10)
1. The utility model provides a family health aassessment and intervention system based on recovered equipment of intelligence which characterized in that includes:
the system comprises a data acquisition module (1) and a simulation modeling and evaluation module (2), wherein the data acquisition module is used for acquiring the health state and the home environment data of an individual in real time and transmitting the acquired health state and home environment data to the simulation modeling and evaluation module (2);
the simulation modeling and evaluation module (2) models the health state and the home environment data according to the received health state and home environment data to generate a data twin model of a specific monitored individual, and identifies and evaluates the health of the individual;
the health intervention module (3) generates individual health intervention data according to the individual evaluation condition and the health intervention strategy of the simulation modeling and evaluation module (2), and transmits the health intervention data to the use terminal (4).
2. The intelligent rehabilitation device-based family health assessment and intervention system according to claim 1, wherein the health intervention module (3) further establishes a data connection with a medical platform management system (5), the health intervention module (3) acquires order information from the medical platform management system (5) or the medical platform management system (5) sends the order information to the health intervention module (3), and the health intervention module (3) combines the order information to form health intervention data and feeds the health intervention data back to the user terminal (4).
3. The intelligent rehabilitation device-based family health assessment and intervention system according to claim 1, wherein after the use terminal (4) receives the health intervention data, the data acquisition module (1) acquires the health state and the home environment data of the corresponding individual again, and transmits the acquired health state and home environment data to the simulation modeling and assessment module (2) again.
4. The intelligent rehabilitation device-based home health assessment and intervention system according to claim 1, wherein the sources from which the data acquisition module (1) acquires the acquired data include an individual's rehabilitation device (6) and an environmental monitoring device (7).
5. The intelligent rehabilitation device-based home health assessment and intervention system according to claim 4, characterized in that the rehabilitation device (6) comprises a portable wearable device and a home health device.
6. The system for home health assessment and intervention based on intelligent rehabilitation device according to claim 1, further comprising:
and the health early warning module (8) receives the individual health assessment data of the simulation modeling and assessment module (2), classifies the risk levels of the individual health assessment data, generates alarm prompt information according to preset alarm conditions, and sends the alarm prompt information to the use terminal (4) and/or the medical platform management system (5).
7. The system for home health assessment and intervention based on intelligent rehabilitation device according to claim 1, further comprising
A health knowledge database (9), wherein the health knowledge database (9) stores image knowledge and text knowledge related to rehabilitation treatment, and the use terminal (4) can read the image knowledge and the text knowledge.
8. The family health assessment and intervention system based on intelligent rehabilitation equipment as claimed in claim 1, wherein the simulation modeling and assessment module (2) forms a health state identification method based on deep learning algorithm according to the monitored physiological, psychological state, behavior and home environment related data of healthy residents, chronic diseases, disabilities/disabilities, and the population, and establishes a resident health assessment system.
9. The intelligent rehabilitation device-based home health assessment and intervention system of claim 1, wherein the health intervention strategy is dynamically updated according to resident health big data fusion and mining, neural networks, machine learning, and expert advice.
10. The system for home health assessment and intervention based on intelligent rehabilitation device according to claim 1, further comprising:
the system comprises a resource distribution module (10), wherein the resource distribution module (10) generates reasonable scheduling information of medical resource service according to spatial position data of a hospital, medical resource occupation and individual spatial position information, and sends the reasonable scheduling information to a use terminal and/or feeds the reasonable scheduling information back to the medical platform management system (5).
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| CN114864088A (en) * | 2022-04-26 | 2022-08-05 | 福建福寿康宁科技有限公司 | Medical health-based digital twin establishing method and device and storage medium |
| CN114998816A (en) * | 2022-08-08 | 2022-09-02 | 深圳市指南针医疗科技有限公司 | Skeleton AI video-based case improvement method, device and storage medium |
| CN116313074A (en) * | 2023-02-16 | 2023-06-23 | 京大(北京)技术有限公司 | Old person incapacitation prevention and rehabilitation management system based on endowment robot |
| CN116913457A (en) * | 2023-07-25 | 2023-10-20 | 徇齐科技(杭州)有限公司 | Chronic patient rehabilitation management system based on data analysis |
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