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Power changes of EEG signals associated with muscle fatigue: the root mean square analysis of EEG bands

机译:与肌肉疲劳相关的脑电信号功率变化:脑电谱带的均方根分析

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The paper reports a research conducted to determine changes in the electrical activity of the contralateral motor cortex of the brain that drives the maximum voluntary contraction (MVC) of the right adductor pollicis muscle (APM) after fatigue. The power changes of EEG signals after muscle fatigue were computed. In twenty-five subjects, EEG signals from the left motor cortical area (C3, FC3) were recorded simultaneously with EMG signals from the right APM, before and after exercise-induced fatigue. The root mean square (RMS) of the EEG bands (alpha, beta, and gamma) was calculated to determine the power changes of the EEG signals after right APM fatigue. The mean RMS of the EEG bands were increased during MVC of the fatigued right APM compared to the RMS value during relaxation before fatigue (p>0.05). The RMS value was seen to be greatest in the beta band, and lowest in the gamma band. The observed increase in the RMS of EEG bands during MVC of the fatigued right APM suggest an increase in the EEG signal power, which could reflect an increase in energy needed by the motor cortex to perform MVC in fatigued muscles, which might give an indication of neural fatigue in the motor cortex.
机译:该论文报道了一项研究,旨在确定大脑对侧运动皮层电活动的变化,该变化驱动疲劳后右内收肌脊髓(APM)的最大自发性收缩(MVC)。计算了肌肉疲劳后脑电信号的功率变化。在25名受试者中,在运动引起的疲劳前后,同时记录了左运动皮层区域(C3,FC3)的EEG信号和右APM的EMG信号。计算EEG频段(α,β和gamma)的均方根(RMS),以确定右APM疲劳后EEG信号的功率变化。与疲劳前放松期间的RMS值相比,疲劳的右APM的MVC期间EEG谱带的平均RMS增加(p> 0.05)。 RMS值在β波段中最大,而在γ波段中最低。在疲劳的右APM的MVC期间观察到的EEG带RMS的增加表明EEG信号功率的增加,这可能反映了运动皮层在疲劳的肌肉中执行MVC所需的能量增加。运动皮质神经疲劳。

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