Sun Shihao, Xu Guizhi, Li Mengfan, Zhang Mingyu, Zhang Yuxin, Liu Wentao, Wang Alan
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Electrical Engineering, Hebei University of Technology, 300132 Tianjin, China.
Hebei Key Laboratory of Bioelectromagnetics and Neuroengineering, 300132 Tianjin, China.
Cyborg Bionic Syst. 2024 Jun 6;5:0124. doi: 10.34133/cbsystems.0124. eCollection 2024.
The parameter setting of functional electrical stimulation (FES) is important for active recovery training since it affects muscle health. Among the FES parameters, current amplitude is the most influential factor. To explore the FES effect on the maximum stimulation time, this study establishes a curve between FES current amplitude and the maximum stimulation time based on muscle fatigue. We collect 10 subjects' surface electromyography under dumbbell weightlifting training and analyze the muscle fatigue state by calculating the root mean square (RMS) of power. By analyzing signal RMS, the fatigue characteristic curves under different fatigue levels are obtained. According to the muscle response under FES, the relationship curve between the current amplitude and the maximum stimulation time is established and FES parameters' effect on the maximum stimulation time is obtained. The linear curve provides a reference for FES parameter setting, which can help to set stimulation time safely, thus preventing the muscles from entering an excessive fatigue state and becoming more active to muscle recovery training.
功能性电刺激(FES)的参数设置对主动恢复训练很重要,因为它会影响肌肉健康。在FES参数中,电流幅度是最具影响力的因素。为了探究FES对最大刺激时间的影响,本研究基于肌肉疲劳建立了FES电流幅度与最大刺激时间之间的曲线。我们收集了10名受试者在哑铃举重训练下的表面肌电图,并通过计算功率的均方根(RMS)来分析肌肉疲劳状态。通过分析信号RMS,获得了不同疲劳水平下的疲劳特征曲线。根据FES下的肌肉反应,建立了电流幅度与最大刺激时间之间的关系曲线,并得出FES参数对最大刺激时间的影响。该线性曲线为FES参数设置提供了参考,有助于安全设置刺激时间,从而防止肌肉进入过度疲劳状态,并使肌肉恢复训练更加有效。