基于多模态信号融合的踝关节痉挛动态评估方法及系统
By using multimodal signal fusion technology, electromyographic and angular signals during walking are collected and processed to generate a dynamic spasticity index. This solves the problem of inaccurate static assessment in existing technologies and enables real-time, dynamic assessment of the degree of ankle spasticity after stroke, supporting precise rehabilitation treatment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
- Filing Date
- 2025-07-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing spasticity assessment techniques mainly rely on subjective scale assessments in a resting state, lacking fusion analysis of multimodal signals. This results in incomplete and inaccurate assessment results, failing to accurately reflect the state of spasticity in daily activities after stroke, and limiting the development of refined rehabilitation programs.
The high-precision electromyography (EMG) signal acquisition module and ankle kinematics measurement module acquire EMG and angular signals during walking. These signals are then processed in depth using a signal processing and feature extraction unit. A dynamic spasticity index is generated using a multimodal fusion and spasticity assessment model, enabling real-time, dynamic, and quantitative assessment of the degree of ankle spasticity.
It enables real-time, dynamic, and quantitative assessment of the degree of ankle spasticity after stroke, breaking through the limitations of traditional static assessment, providing precise quantitative tools and real-time feedback, and supporting more accurate rehabilitation treatment.
Smart Images
Figure CN120501386B_ABST