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Increase in heterogeneity of biceps brachii activation during isometric submaximal fatiguing contractions: a multichannel surface EMG study

机译:等距次最大疲劳疲劳期间肱二头肌肱肌激活异质性增加:多通道表面肌电图研究

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摘要

The effects of fatigue emerge from the beginning of sustained submaximal contractions, as shown by an increase in the amplitude of the surface electromyogram (EMG). The increase in EMG amplitude is attributed to an augmentation of the excitatory drive to the motor neuron pool that, more importantly than increasing discharge rates, recruits additional motor units for the contraction. The aim of this study was to determine whether the spatiotemporal distribution of biceps brachii (BB) activity becomes more or less heterogeneous during a fatiguing isometric contraction sustained at a submaximal target force. Multiple electrodes were attached over the entire BB muscle, and principal component analysis (PCA) was used to extract the representative information from multiple monopolar EMG channels. The development of heterogeneity during the fatiguing contraction was quantified by applying a cluster algorithm on the PCA-processed EMG amplitudes. As shown previously, the overall EMG amplitude increased during the sustained contraction, whereas there was no change in coactivation of triceps brachii. However, EMG amplitude did not increase in all channels and even decreased in some. The change in spatial distribution of muscle activity varied across subjects. As found in other studies, the spatial distribution of EMG activity changed during the sustained contraction, but the grouping and size of the clusters did not change. This study showed for the first time that muscle activation became more heterogeneous during a sustained contraction, presumably due to a decrease in the strength of common inputs with the recruitment of additional motor units.
机译:疲劳的影响从持续的最大收缩开始,开始出现,如表面肌电图(EMG)幅度的增加所显示。 EMG振幅的增加归因于对运动神经元池的兴奋性驱动的增强,这比增加放电率更重要的是,它招募了更多的运动单位来进行收缩。这项研究的目的是确定肱二头肌(BB)活动的时空分布是否在以次最大目标力维持的疲劳等距收缩过程中变得或多或少变得不均匀。将多个电极附着在整个BB肌肉上,并使用主成分分析(PCA)从多个单极EMG通道中提取代表性信息。通过在PCA处理的EMG振幅上应用聚类算法,量化了疲劳收缩过程中异质性的发展。如前所示,在持续收缩过程中,总体EMG振幅增加,而肱三头肌的共激活没有变化。但是,EMG振幅并未在所有通道中都增加,甚至在某些通道中甚至降低了。肌肉活动的空间分布变化随受试者而变化。正如在其他研究中发现的那样,EMG活性的空间分布在持续收缩过程中发生了变化,但簇的分组和大小没有变化。这项研究首次表明,在持续的收缩过程中,肌肉的激活变得更加不均匀,这可能是由于增加了额外的运动单位而使普通输入的强度降低了。

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