用扭矩和表面肌电图评价fes诱导的肌肉疲劳和恢复。

Chenglin Lyu, Georgios Panteli, L Cornelius Bollheimer, Steffen Leonhardt, Philip von Platen
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引用次数: 0

摘要

功能电刺激(FES)在患者康复和活动能力方面起着至关重要的作用,但它会导致肌肉疲劳,从而影响治疗过程。这项工作提出了一种通过扭矩和表面肌电图(sEMG)信号监测fes诱导的肌肉疲劳和恢复的新方法。在股直肌上应用预定义的FES模式来诱导等距收缩,同时收集扭矩和肌电图数据来评估肌肉疲劳和随后的恢复情况。表面肌电信号数据使用陷波停止和高通滤波器进行滤波,随后在时域(均方根,RMS)和频域(平均频率)进行评估。结果表明,疲劳过程中扭矩和均方根值减小,恢复过程中增加,而表面肌电信号的平均频率呈现相反的趋势。这些发现为FES下肌肉疲劳的动力学提供了有价值的见解,并对增强康复治疗中肌肉疲劳的理解和管理具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of FES-induced Muscle Fatigue and Recovery using Torque and Surface Electromyography.

Functional Electrical Stimulation (FES) plays a crucial role in the rehabilitation and mobility of patients, but it introduces muscle fatigue which can impact the treatment process. This work presents a novel approach for monitoring FES-induced muscle fatigue and recovery by torque and surface electromyography (sEMG) signals. A predefined pattern of FES is applied on the rectus femoris muscle to induce isometric contraction, while torque and sEMG data are collected to assess muscle fatigue and subsequent recovery. The sEMG data are filtered using notch stop and high-pass filters, and subsequently assessed in both the time domain (Root Mean Square, RMS) and frequency domain (mean frequency). The results indicated that torque and RMS decreased during fatigue and increased during recovery, while the mean frequency of the sEMG signal exhibited an opposite trend. These findings provide valuable insights into the dynamics of muscle fatigue under FES and have implications for enhancing the understanding and management of muscle fatigue in rehabilitation therapy.

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