Chronic disease patient health propaganda and education and rehabilitation management system

Abstract

The invention relates to the technical field of digital medical treatment and health information, and discloses a chronic disease patient health propaganda and education and rehabilitation management system, comprising a VR interaction terminal which provides an immersive health propaganda and education and rehabilitation training environment and is internally provided with a sensor for collecting user posture data; and the multi-source data acquisition network is connected with the wearable equipment, the household medical equipment and the intelligent medicine box and is used for acquiring physiological parameters, medication records and behavior data of the patient. According to the health propaganda and education and rehabilitation management system for the chronic disease patients, through an intelligent system based on VR glasses, comprehensive upgrading of chronic disease health management is achieved, VR immersive experience and disease evolution simulation based on digital twinborn are utilized, abstract medical knowledge is converted into body cognition, the disease understanding degree and memory retention rate of the patients are improved, and the patient experience is improved. Meanwhile, the actions of the patient and the standard template are captured and compared in real time through a computer vision algorithm, vision and audio feedback is provided, and the quality and safety of family rehabilitation training are ensured.

Description

Technical Field

[0001] This invention relates to the field of digital healthcare and health information technology, and in particular to a health education and rehabilitation management system for patients with chronic diseases. Background Technology

[0002] Chronic diseases have become a major global public health burden, and their effective control depends heavily on patients' long-term self-management capabilities. Traditional chronic disease management models have significant limitations: health education often uses one-way formats such as manuals and videos, with abstract and difficult-to-understand content, resulting in insufficient patient cognition; rehabilitation training lacks real-time supervision and guidance, making it impossible to guarantee the standardization of movements and posing safety risks; patients' physiological data, medication records, lifestyle information, etc., are fragmented, leading to extensive management and low compliance.

[0003] With technological advancements, virtual reality (VR) technology, due to its immersiveness and interactivity, has begun to be explored for use in the medical field, such as pain distraction, exposure therapy for phobias, and surgical simulation. However, existing technologies mostly focus on single functions or specific symptoms, lacking a comprehensive platform that can integrate immersive education, personalized rehabilitation, intelligent tracking, and telemedicine.

[0004] Current technologies have the following shortcomings: 1) Insufficient interactivity and cognitive depth: The educational content is mainly two-dimensional and passively received, which cannot allow patients to understand complex pathological processes in an "immersive" way, resulting in low knowledge retention rate; 2) Lack of or formalized rehabilitation management: The standardization of user movements cannot be captured and evaluated, real-time guidance and correction are lacking, and the training effect is difficult to guarantee; 3) Data isolation and low level of intelligence: The system simply collects data, lacks in-depth integration and intelligent analysis of multi-source data, and the recommendation function is based on fixed rules, which cannot realize dynamic personalized solutions; 4) Weak adherence maintenance methods: Relying on simple reminders and points rewards, lacking immersion and emotional incentives, users are prone to fatigue. Summary of the Invention

[0005] In view of the aforementioned problems of insufficient interactivity and cognitive depth, lack of or formalized rehabilitation management, isolated data and low level of intelligence, and weak means of maintaining compliance, this invention is proposed.

[0006] Therefore, the purpose of this invention is to provide a health education and rehabilitation management system for patients with chronic diseases. The purpose is to construct a collaborative management system based on VR glasses, consisting of a smart terminal, a cloud AI engine, and multifunctional applications.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a health education and rehabilitation management system for patients with chronic diseases, including a VR interactive terminal: used to provide an immersive health education and rehabilitation training environment, with built-in sensors for collecting user posture data; Multi-source data acquisition network: connects wearable devices, home medical devices, and smart pillboxes to collect patients' physiological parameters, medication records, and behavioral data; Cloud-based collaborative software systems include: Central AI Analysis and Decision Engine: Used to integrate multi-source data, build and update digital twin models of patient health, and make health risk predictions and personalized decisions based on machine learning models; Personalized VR content management and recommendation module: used to dynamically match and push educational courses and rehabilitation training programs based on patient profiles; Immersive Disease Evolution and Intervention Simulation Module: Used to render three-dimensional dynamic models of organs in real time based on digital twin models, and allows users to interactively select visualized disease development paths and virtual intervention effects; Intelligent rehabilitation supervision and posture correction module: used to compare the user's real-time movements with a standard movement library through computer vision algorithms to provide real-time correction guidance; The all-round intelligent tracking and proactive early warning module is used to calculate the health compliance score based on the multi-dimensional compliance comprehensive evaluation system and trigger the graded early warning mechanism. The doctor-patient collaboration management portal module provides doctors with visualized health reports and remote intervention interfaces. Virtual patient community and emotional support module: This module provides a communication platform with virtual avatars and uses AI to drive content distribution and partner matching.

[0008] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the VR interactive terminal is an integrated or separate VR head-mounted device that supports vision adjustment, or can be replaced by AR glasses to achieve mixed reality interaction.

[0009] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the multi-source data acquisition network further includes smart home devices for collecting environmental data.

[0010] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the health digital twin model constructed by the central AI analysis and decision engine maps the patient's physiological state in real time and simulates disease evolution and intervention effects based on medical knowledge graphs and algorithm models.

[0011] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the computer vision algorithm in the intelligent rehabilitation supervision and posture correction module is deployed in the cloud or locally on the VR terminal for real-time motion comparison and guidance.

[0012] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the multi-dimensional compliance comprehensive evaluation system of the all-round intelligent tracking and proactive early warning module includes VR learning time, rehabilitation training completion rate, medication records, physiological indicator attainment rate and emotional state indicators.

[0013] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the immersive disease evolution and intervention simulation module allows users to interact via a handle, gesture recognition, eye tracking, or brain-computer interface.

[0014] As a preferred embodiment of the health education and rehabilitation management system for patients with chronic diseases described in this invention, the system modules can be combined and deployed to form a simplified system containing core modules.

[0015] To achieve the above objectives, the present invention provides the following technical solution: a management method for a health education and rehabilitation management system for patients with chronic diseases, comprising the following steps: Patient health data is acquired through a multi-source data acquisition network; Utilize a central AI analysis and decision-making engine to build and update digital twin models of patient health; Based on patient profiles, health education and rehabilitation content is dynamically pushed through a personalized VR content management and recommendation module; Visualize disease development and intervention effects through an immersive disease evolution and intervention simulation module in a VR environment; The intelligent rehabilitation supervision and posture correction module corrects the user's rehabilitation movements in real time. The compliance score is calculated and an alert is triggered by the comprehensive intelligent tracking and proactive warning module. Remote management and emotional support are achieved through a collaborative management portal for doctors and patients and a virtual patient community.

[0016] Compared with the prior art, the present invention has at least the following beneficial effects: This invention achieves a comprehensive upgrade in chronic disease health management through an intelligent system based on VR glasses. Utilizing immersive VR experiences and digital twin-based disease evolution simulation, it transforms abstract medical knowledge into embodied cognition, significantly improving patients' understanding and retention of their illnesses. Simultaneously, computer vision algorithms capture and compare patient actions with standard templates in real time, providing visual and audio feedback to ensure the quality and safety of home rehabilitation training and reduce injury risks. Furthermore, a central AI engine integrates multi-source data to construct and update the patient's health digital twin model, achieving a leap from data recording to intelligent decision-making. This allows interventions such as education, rehabilitation, and early warning to be dynamically adjusted based on real-time status. Combined with immersive experiences, gamified incentives, intelligent early warnings, and emotional support from a virtual community, a positive feedback loop is formed, effectively improving long-term patient engagement and management compliance. At the same time, it integrates disparate functions into an organic whole, achieving large-scale, low-cost, high-quality health management and improving the efficiency of medical resource utilization. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall framework of the chronic disease patient health education and rehabilitation management system of the present invention. Detailed Implementation

[0018] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0019] Example 1 The health education and rehabilitation management system for patients with chronic diseases includes: VR interactive terminal: used to provide an immersive health education and rehabilitation training environment, with built-in sensors for collecting user posture data; Multi-source data acquisition network: connects wearable devices, home medical devices and smart pillboxes to collect patients' physiological parameters, medication records and behavioral data, and also includes smart home devices to collect environmental data; Cloud-based collaborative software systems include: Central AI Analysis and Decision Engine: Used to integrate multi-source data, build and update digital twin models of patient health, and make health risk predictions and personalized decisions based on machine learning models; The central AI analysis and decision-making engine constructs a health digital twin model that maps the patient's physiological state in real time and simulates disease evolution and intervention effects based on medical knowledge graphs and algorithm models. Personalized VR content management and recommendation module: used to dynamically match and push educational courses and rehabilitation training programs based on patient profiles; Immersive Disease Evolution and Intervention Simulation Module: Used to render three-dimensional dynamic models of organs in real time based on digital twin models, and allows users to interactively select visualized disease development paths and virtual intervention effects; The immersive disease evolution and intervention simulation module allows users to interact via a handle, gesture recognition, eye tracking, or brain-computer interface. Intelligent rehabilitation supervision and posture correction module: used to compare the user's real-time movements with a standard movement library through computer vision algorithms to provide real-time correction guidance; The computer vision algorithm in the intelligent rehabilitation supervision and posture correction module is deployed in the cloud or on the local VR terminal for real-time motion comparison and guidance. The all-round intelligent tracking and proactive early warning module is used to calculate the health compliance score based on the multi-dimensional compliance comprehensive evaluation system and trigger the graded early warning mechanism. The comprehensive compliance evaluation system of the all-round intelligent tracking and proactive early warning module includes VR learning time, rehabilitation training completion rate, medication records, physiological indicator achievement rate and emotional state indicators. The doctor-patient collaboration management portal module provides doctors with visualized health reports and remote intervention interfaces. Virtual patient community and emotional support module: This module provides a communication platform with virtual avatars and uses AI to drive content distribution and partner matching.

[0020] The VR interactive terminal is an integrated or separate VR head-mounted device that supports vision adjustment, or can be replaced by AR glasses to achieve mixed reality interaction; I. System Hardware Composition VR Interactive Terminal: Patients wear an all-in-one VR glasses with positioning function. The terminal has built-in binocular cameras, IMU (Inertial Measurement Unit) sensors and computing units. The device supports interpupillary distance and refractive power adjustment to adapt to patients with different vision conditions.

[0021] Multi-source data acquisition network: Wearable devices: Patients wear smart bracelets that connect to VR terminals or home gateways via Bluetooth 5.0 to continuously collect data on heart rate, blood oxygen saturation, and steps taken.

[0022] Home medical devices: Patients use smart Bluetooth blood pressure monitors, and the data is automatically synchronized to the system after measurement.

[0023] Smart pillbox: The smart pillbox used by patients records the time and type of medication each time, and uploads the adherence data via Wi-Fi.

[0024] II. Software System Collaboration Workflow Step 1: Initial Filing and Digital Portrait Generation When a patient uses the system for the first time, they complete the entry of basic information (age, medical history, lifestyle habits, etc.) in the VR environment. The central AI analysis and decision engine (deployed on a cloud server) receives this information and integrates it with the initial physiological data collected from smart bracelets and blood pressure monitors. It then conducts a preliminary risk assessment through machine learning models (such as using the XGBoost algorithm) and generates an initial digital twin model of the patient's health. This model constructs a three-dimensional dynamic model representing the patient's cardiovascular system in virtual space, and its initial state reflects the patient's current blood pressure level and arterial health status.

[0025] Step 2: Personalized content delivery and immersive education The personalized VR content management and recommendation module uses the patient profile generated by the central AI engine (diagnosed as hypertension complicated with coronary heart disease, with a medium to high risk level) to accurately push an immersive educational course titled "Understanding Your Heart and Hypertension" from the VR content library.

[0026] Once the patient enters the course, the immersive disease evolution and intervention simulation module is activated, presenting the patient with a three-dimensional model of a beating heart and coronary arteries built based on their own digital twin model.

[0027] Disease evolution simulation: Patients select the "continue high-salt diet" path through VR controllers. Based on medical knowledge graphs and hemodynamic models, the system simulates and visualizes in real time the process of coronary artery wall thickening and lipid deposition forming plaques, accompanied by a simulated increase in blood pressure.

[0028] Intervention Simulation: Subsequently, patients selected the "adherence to medication and healthy diet" path. The system simulated the effects of the medication on the blood vessels and demonstrated the dynamic process of plaque stabilization and improved vascular patency. Patients could even perform a "virtual stent implantation" procedure, personally placing a virtual stent at the narrowed blood vessel and immediately seeing the effect of improved blood flow. This process profoundly conveyed the value of the treatment.

[0029] Step 3: Intelligent Rehabilitation Training and Real-time Correction The doctor devised an "upper limb rehabilitation exercise" routine for the patient as part of their cardiac rehabilitation. Once the patient selected this training, the intelligent rehabilitation supervision and posture correction module was activated.

[0030] Data acquisition: The VR terminal's built-in camera captures images of the patient's upper limb joints (shoulder, elbow, wrist), while the IMU sensor simultaneously records joint angles and movement speed.

[0031] Motion comparison and correction: Lightweight computer vision algorithms integrated locally on the VR terminal (such as the OpenPose model using the MobileNet skeleton) begin to work. This algorithm extracts key parameters of the patient's movements in real time, such as "shoulder abduction angle 70°".

[0032] The system performs a high-precision comparison of the real-time parameters with the standard range of "shoulder abduction angle 80°-100°" in the pre-stored standard movement library. Upon detecting a deviation, the system immediately displays the patient's deviated virtual arm trajectory in red in the VR view, and simultaneously prompts the patient through three-dimensional spatial audio: "Please raise your arm a little higher."

[0033] Throughout the training process, the AI ​​engine dynamically adjusts the number of training sets and rest intervals based on the patient's real-time heart rate and historical performance, thereby achieving personalized control of rehabilitation intensity.

[0034] Step 4: Comprehensive Tracking and Proactive Early Warning The comprehensive intelligent tracking and proactive early warning module operates continuously. Its multi-dimensional compliance evaluation system tracks the following indicators: VR education course completion rate and post-course test scores (cognitive compliance).

[0035] The rate of achievement of rehabilitation training movements (behavioral compliance).

[0036] The medication adherence rate (medication compliance) recorded by the smart pillbox.

[0037] The number of times the blood pressure reached the target level each week (physiological indicator compliance) is uploaded by the smart blood pressure monitor.

[0038] Based on this data, the central AI engine uses a weighted algorithm to calculate a comprehensive health compliance score.

[0039] Step 5: Emotional Support and Community Interaction When the system analyzes and finds that a patient has recently reduced VR activity and exhibits low emotional and verbal feedback, the AI ​​recommendation system in the virtual patient community and emotional support module will proactively match and recommend a "star patient" avatar with similar conditions but more experienced in managing their condition within the VR community square, encouraging them to communicate. Simultaneously, it will push the patient to participate in a virtual group activity about "sharing blood pressure-lowering recipes" to rebuild their confidence in managing their condition.

[0040] Example 2 For VR terminals with stronger computing power, the computer vision algorithm for real-time motion correction can run entirely locally to reduce network latency, improve real-time feedback, and protect user privacy.

[0041] For patients with limited mobility, the system can enable gesture recognition or eye tracking as the primary interaction method in the VR environment, replacing VR controllers to complete operations such as course selection and organ model rotation.

[0042] In community health service centers with limited resources, a streamlined system can be deployed, which includes only a central AI engine, a VR education module, and an intelligent tracking module, yet still achieves core health education and monitoring functions.

[0043] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A health education and rehabilitation management system for patients with chronic diseases, characterized in that, include: VR interactive terminal: used to provide an immersive health education and rehabilitation training environment, with built-in sensors for collecting user posture data; Multi-source data acquisition network: connects wearable devices, home medical devices, and smart pillboxes to collect patients' physiological parameters, medication records, and behavioral data; Cloud-based collaborative software systems include: Central AI Analysis and Decision Engine: Used to integrate multi-source data, build and update digital twin models of patient health, and make health risk predictions and personalized decisions based on machine learning models; Personalized VR content management and recommendation module: used to dynamically match and push educational courses and rehabilitation training programs based on patient profiles; Immersive Disease Evolution and Intervention Simulation Module: Used to render three-dimensional dynamic models of organs in real time based on digital twin models, and allows users to interactively select visualized disease development paths and virtual intervention effects; Intelligent rehabilitation supervision and posture correction module: used to compare the user's real-time movements with a standard movement library through computer vision algorithms to provide real-time correction guidance; The all-round intelligent tracking and proactive early warning module is used to calculate the health compliance score based on the multi-dimensional compliance comprehensive evaluation system and trigger the graded early warning mechanism. The doctor-patient collaboration management portal module provides doctors with visualized health reports and remote intervention interfaces. Virtual patient community and emotional support module: This module provides a communication platform with virtual avatars and uses AI to drive content distribution and partner matching.

2. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The VR interactive terminal is an integrated or separate VR head-mounted device that supports vision adjustment, or can be replaced by AR glasses to achieve mixed reality interaction.

3. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The multi-source data acquisition network further includes smart home devices for collecting environmental data.

4. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The central AI analysis and decision-making engine constructs a health digital twin model that maps the patient's physiological state in real time and simulates disease evolution and intervention effects based on medical knowledge graphs and algorithm models.

5. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The computer vision algorithm in the intelligent rehabilitation supervision and posture correction module is deployed in the cloud or locally on the VR terminal for real-time motion comparison and guidance.

6. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The comprehensive compliance evaluation system of the all-round intelligent tracking and proactive early warning module includes VR learning time, rehabilitation training completion rate, medication records, physiological indicator achievement rate and emotional state indicators.

7. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The immersive disease evolution and intervention simulation module allows users to interact via a handle, gesture recognition, eye tracking, or brain-computer interface.

8. The health education and rehabilitation management system for patients with chronic diseases according to claim 1, characterized in that: The system modules can be combined and deployed to form a streamlined system containing the core modules.

9. A management method for a health education and rehabilitation management system for patients with chronic diseases, applied to the health education and rehabilitation management system for patients with chronic diseases as described in claim 8, characterized in that: Includes the following steps: Patient health data is acquired through a multi-source data acquisition network; Utilize a central AI analysis and decision-making engine to build and update digital twin models of patient health; Based on patient profiles, health education and rehabilitation content is dynamically pushed through a personalized VR content management and recommendation module; Visualize disease development and intervention effects through an immersive disease evolution and intervention simulation module in a VR environment; The intelligent rehabilitation supervision and posture correction module corrects the user's rehabilitation movements in real time. The compliance score is calculated and an alert is triggered by the comprehensive intelligent tracking and proactive warning module. Remote management and emotional support are achieved through a collaborative management portal for doctors and patients and a virtual patient community.

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