Effects of firing statistics on the mean frequency of EMG and VMG signals

L.Y. Xu, Y. Zhang
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引用次数: 1

Abstract

The mean frequency of EMG and VMG signals has been used as an indicator for muscle fatigue. The muscle fatigue is a complex process, which involves both central nerve system (CNS) and local muscle activities. Here, the authors adopt a multichannel linear dynamic model for EMG and VMG signal generations under voluntary contractions. The mean frequency of EMG and VMG signals under the different firing statistics was calculated. The results show that the mean frequency of VMG signal is more sensitive to the mean firing rate of the innervation than that of corresponding EMG signal, suggesting that the VMG signal might be more sensitive to CNS fatigue.
放电统计对肌电信号和VMG信号平均频率的影响
肌电图和VMG信号的平均频率被用作肌肉疲劳的指标。肌肉疲劳是一个复杂的过程,涉及中枢神经系统和局部肌肉活动。在这里,作者采用了一个多通道线性动态模型来描述自发性收缩下肌电信号和VMG信号的生成。计算不同发射统计量下肌电信号和VMG信号的平均频率。结果表明,VMG信号的平均频率比相应的肌电信号对神经支配的平均放电速率更敏感,表明VMG信号可能对中枢神经系统疲劳更敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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