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| Quantitative analysis of FES rehabilitation effects based on three-dimensional muscle synergy analysis |
| DU Yihao1,WANG Xiaoran1,YU Jinxu2,CAO Tianfu1,FAN Qiang1 |
1. Key Lab of Measurement Technology and Instrumentation of Hebei Province, Key Laboratory of Intelligent Rehabilitation and Neuromodulation of Hebei Province, Institute of Electric Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. School of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract The muscle synergy theory can be used to analyze the intrinsic functional mode of the neuromuscular system, based on which a quantitative research method for FES rehabilitation effect based on muscle synergy analysis is proposed. First, on the basis of two-dimensional muscle synergy analysis, the myoelectric tensor was established by continuous wavelet decomposition, and the non-negative matrix decomposition of the myoelectric tensor was carried out by using the CP_ALS algorithm, so as to realize the three-dimensional muscle synergy analysis covering the null domain, frequency domain and time domain. Then, a patient wrist extension rehabilitation experiment was designed to compare and analyze the changes of wrist extension muscle synergism before and after FES physiotherapy lasting 10 days in patients with different degrees of hemiplegia, using healthy subjects as the control group. The experimental results showed that after FES physical therapy, the number of muscle synergies of patients increased (from 2 to 3), the muscle synergies in the null domain all reached the positive correlation level (mean value of 0.5402), the muscle synergies in the frequency domain had the largest increase (mean value of increase was 0.8271), and the muscle synergies in the temporal domain had the best effect (mean value of 0.7979), which indicated that FES in stroke rehabilitation was able to improve the patients muscle synergy effect.
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Received: 11 January 2024
Published: 30 September 2024
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| Fund:National Natural Science Foundation of China;This project is supported by Hebei innovation capability improvement plan project |
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2024, Vol. 45 
