A wearable device control system for knee injury detection and prevention

By designing a wearable device control system including deep learning models and electrical stimulation modules, real-time monitoring and prevention of anterior cruciate ligament injuries in the knee joint is solved, and effective monitoring and prevention of knee joint injuries is achieved.

CN119745374APending Publication Date: 2025-04-04THE FIRST AFFILIATED HOSPITAL OF ARMY MEDICAL UNIV
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Patent Information

Application Number
CN202510155578.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-12
Publication Date
2025-04-04

AI Technical Summary

Technical Problem

The frequency of anterior cruciate ligament injury in the exercise population is high, resulting in a decrease in knee stability. Secondary injuries such as meniscus injury, cartilage degeneration and osteoarthritis, and existing preventive measures are limited.

Method used

A wearable device control system for knee injury detection and preservation is designed, including a controller, a host computer, a data transmission module, a signal acquisition module, a wearable module and an electrical stimulation module. The deep learning model is used to monitor knee joint activity in real time, judge the risk of injury, and promote muscle contraction through the electrical stimulation module to help knee joint reset.

Benefits of technology

Effectively monitor and prevent anterior cruciate ligament injury of the knee joint, reduce the risk of knee joint injury, avoid subsequent secondary injuries and surgical burdens, and do not affect normal knee joint movement.

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Abstract

The present invention relates to the technical field of intelligent health protection, and specifically to a wearable device control system for knee joint injury detection and prevention, comprising a controller, a host computer, a data transmission module, a signal acquisition module, a wearable module and an electrical stimulation module, wherein the controller controls the wearable module; the host computer records, checks and modifies personal information, and checks the power level of the wearable module; the data transmission module is used for communication between the controller and the host computer; the signal acquisition module collects the activity of the human knee joint; the electrical stimulation module is used to stimulate the human muscle system, and the system collects the activity of the knee joint in real time during exercise through the wearable module, and judges whether there is an injury risk based on a knee joint injury early warning algorithm of a deep learning model. If the injury risk threshold is exceeded, the electrical stimulation module will automatically apply electrical stimulation to the corresponding muscle position to prompt the muscle group to contract, so as to help the knee joint be repositioned, thereby realizing the monitoring and prevention of knee joint ligament injuries.
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