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Influence of motor unit synchronization on amplitude characteristics of surface and intramuscularly recorded EMG signals

机译:运动单位同步对表面和肌内记录的EMG信号振幅特性的影响

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摘要

The increase in muscle strength without noticeable hypertrophic adaptations is very important in some sports. Motor unit (MU) synchronisation and higher rate of MU activation are proposed as possible mechanisms for such a strength and electromyogram (EMG) increase in the early phase of a training regimen. Root mean square and/or integrated EMG are amplitude measures commonly used to estimate the adaptive changes in efferent neural drive. EMG amplitude characteristics could change also because of alteration in intracellular action potential (IAP) spatial profile. We simulated MUs synchronization under different length of the IAP profile. Different synchronization was simulated by variation of the percent of discharges in a referent MU, to which a variable percent of remaining MUs was synchronized. Population synchrony index estimated the degree of MU synchronization in EMG signals. We demonstrate that the increase in amplitude characteristics due to MU synchronization is stronger in surface than in intramuscularly detected EMG signals. However, the effect of IAP profile lengthening on surface detected EMG signals could be much stronger than that of MU synchronization. Thus, changes in amplitude characteristics of surface detected EMG signals with progressive strength training could hardly be used as an indicator of changes in neural drive without testing possible changes in IAPs. Keywords MU synchrony - RMS - EMG integral - Neural adaptation - Intracellular action potential Communicated by Arnold de Haan, Susan A. Ward.
机译:没有明显的肥大适应性的肌肉力量的增加在某些运动中非常重要。提出运动单元(MU)同步和更高的MU激活率,作为在训练方案的早期增加这种强度和肌电图(EMG)的可能机制。均方根和/或积分肌电图是幅度度量,通常用于估计传出神经驱动的自适应变化。 EMG振幅特征也可能由于细胞内动作电位(IAP)空间分布的变化而改变。我们模拟了不同长度的IAP配置文件下的MU同步。通过更改参考MU中的放电百分比来模拟不同的同步,剩余MU的可变百分比已同步到该百分比。群体同步指数估计了EMG信号中MU同步的程度。我们证明,由于MU同步引起的振幅特性的增加在表面上比在肌内检测到的EMG信号更强。但是,IAP轮廓延长对表面检测到的EMG信号的影响可能比MU同步要强得多。因此,在不测试IAP可能变化的情况下,很难通过渐进强度训练对表面检测到的EMG信号的幅度特性进行变化,以作为神经驱动变化的指标。关键字MU同步-RMS-EMG积分-神经适应性-细胞内动作电位由Arnold de Haan,Susan A. Ward交流。

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