Rehabilitation training optimization method, system and equipment based on artificial intelligence and medium

By acquiring users' basic physiological data and monitoring it in real time, and using artificial intelligence to generate and update exercise plans, the problem of insufficient dynamic adjustment in existing systems has been solved. This has enabled individualized adaptation and safe and controllable cardiac rehabilitation training, improving training efficiency and effectiveness.

CN121354801APending Publication Date: 2026-01-16XIONGAN XUANWU HOSPITAL
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Patent Information

Application Number
CN202511485027.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-17
Publication Date
2026-01-16

AI Technical Summary

Technical Problem

Existing smart rehabilitation monitoring systems based on wearable devices are difficult to adapt to the daily fluctuations in patients' physiological state and rehabilitation needs during cardiac rehabilitation training. They lack dynamic adjustment mechanisms, rely on manual assessment which is subject to subjective bias, cannot achieve accurate quantitative analysis, and lack real-time monitoring and immediate intervention capabilities, thus affecting rehabilitation effectiveness and safety.

Method used

By acquiring users' basic physiological data, an initial exercise plan is generated, and during execution, motion image data, real-time heart rate parameters, and fatigue data are monitored in real time to quantify plan feedback. Artificial intelligence is used to update the exercise plan, including posture difference analysis, fatigue level prediction, and auditory feedback, to achieve dynamic adjustment.

Benefits of technology

It achieves individualized adaptability and safety controllability in rehabilitation training, improves training efficiency and user compliance, and enhances the accuracy and safety of rehabilitation effects.

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Abstract

The invention relates to a rehabilitation training optimization method and system based on artificial intelligence, equipment and a medium. The method comprises the following steps: acquiring basic physiological data of a user; the basic physiological data at least comprises a heart injury reason, an age parameter, a heart rate parameter, a heart pressure parameter and a body mass index; generating an initialized exercise plan of the user based on the basic physiological data; when the initialized exercise plan is executed, acquiring exercise image data, real-time heart rate parameters, fatigue image data and fatigue voice data of the user; quantifying the effect of the initialized exercise plan on the user based on the exercise image data, the real-time heart rate parameter, the fatigue feeling image data and the fatigue feeling voice data to obtain plan feedback of the initialized exercise plan; and updating the initialized exercise plan by using plan feedback and / or historical training data of the user to obtain an updated initialized exercise plan. By adopting the method, the heart rehabilitation training efficiency can be improved.
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