Weytjens J L, van Steenberghe D
Biol Cybern. 1984;50(2):95-103. doi: 10.1007/BF00337156.
Theoretical work suggests that if the interpulse intervals ( IPIs ) of motor unit action potential trains ( MUAPTs ) are independently and normally distributed, then spectral analysis of the electromyogram could be a useful tool for studying rate modulation by virtue of the presence of a peak in the power spectrum at the average firing frequency of all active motor units. It is shown in this paper that IPIs need not be normally distributed, specifically that the results are very much the same if the IPIs are distributed according to a Gamma probability density function ( PDF ). Simulation of the electromyogram based on this theory proved the applicability of the method. Experimental results obtained for the masseter, biceps brachii and first dorsal interosseus (FDI) muscles, however, were in disagreement with both theory and simulation except for the biceps muscle at force levels up to 20% of the maximal force and for the masseter and FDI muscles in 1 out of 5 subjects. This indicates that the models for MUAPTs hitherto used might not be generally correct. Apart from this discrepancy, our results reveal differences between masseter and FDI muscles on the one hand and the biceps brachii on the other, which indicate that motor unit synchronisation is much more pronounced in the latter muscle.
理论研究表明,如果运动单位动作电位序列(MUAPTs)的脉冲间期(IPIs)呈独立正态分布,那么肌电图的频谱分析可能是研究频率调制的有用工具,因为在所有活跃运动单位的平均放电频率处,功率谱会出现一个峰值。本文表明,IPIs不一定呈正态分布,具体而言,如果IPIs根据伽马概率密度函数(PDF)分布,结果非常相似。基于该理论对肌电图进行的模拟证明了该方法的适用性。然而,除了二头肌在最大力的20%以下的力水平时,以及在五分之一的受试者中咬肌和第一背侧骨间肌(FDI)的情况外,咬肌、肱二头肌和第一背侧骨间肌(FDI)的实验结果与理论和模拟均不一致。这表明迄今为止使用的MUAPTs模型可能并不普遍正确。除了这种差异外,我们的结果揭示了咬肌和FDI肌肉与肱二头肌之间的差异,这表明运动单位同步在后者肌肉中更为明显。