等长运动
电机单元
肌电图
机动部队招募
振幅
肌肉疲劳
肱桡肌
收缩(语法)
神经生理学
数学
模拟
物理医学与康复
生物医学工程
控制理论(社会学)
计算机科学
物理
神经科学
工程类
医学
心理学
物理疗法
人工智能
内科学
控制(管理)
量子力学
作者
Madeleine M. Lowery,Mark O’Malley
标识
DOI:10.1109/tbme.2003.816078
摘要
Changes in surface electromyographic (EMG) amplitude during sustained, fatiguing contractions are commonly attributed to variations in muscle fiber conduction velocity (MFCV), motor unit firing rates, transmembrane action potentials and the synchronization or recruitment of motor units. However, the relative contribution of each factor remains unclear. Analytical relationships relating changes in MFCV and mean motor unit firing rates to the root mean square (RMS) and average rectified (AR) value of the surface EMG signal are derived. The relationships are then confirmed using model simulation. The simulations and analysis illustrate the different behaviors of the surface EMG RMS and AR value with changing MFCV and firing rate, as the level of motor unit superposition varies. Levels of firing rate modulation and short-term synchronization that, combined with variations in MFCV, could cause changes in EMG amplitude similar to those observed during sustained isometric contraction of the brachioradialis at 80% of maximum voluntary contraction were estimated. While it is not possible to draw conclusions about changes in neural control without further information about the underlying motor unit activation patterns, the examples presented illustrate how a combined analytical and simulation approach may provide insight into the manner in which different factors affect EMG amplitude during sustained isometric contractions.
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