一种基于手膝足协同运动耦合的步态分析方法及系统
By using a gait analysis method that couples hand, knee, and foot movements, the problems of multimodal data synchronization and high cost in existing gait analysis systems have been solved. This method enables high-precision, low-cost portable gait analysis, improving the reliability of clinical applications and patient compliance with home rehabilitation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIANJIN UNIV OF TRADITIONAL CHINESE MEDICINE
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing gait analysis systems suffer from problems such as lack of simultaneous joint analysis of multimodal data, high system cost, complex deployment, failure to establish a closed loop of medical and patient data, and a contradiction between miniaturization and effectiveness, resulting in high misjudgment rate, high cost, poor portability, and limited clinical application.
A gait analysis method based on hand-knee-foot coordinated motion coupling is adopted. Multimodal data is collected through inertial wristbands, inertial knee rings and flexible pressure insoles on the soles of the feet. The time axis and coordinate system are unified, and extended Kalman filtering and attention fusion algorithms are combined to achieve high-precision data synchronization and feature fusion, and output visualized reports and personalized rehabilitation guidance.
It achieves high-precision multimodal data synchronization and feature fusion, reduces the misjudgment rate, reduces system costs, improves portability and clinical reliability, and enhances patients' home rehabilitation compliance and rehabilitation efficiency.
Smart Images
Figure CN122140240B_ABST