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Using cortico-muscular and cortico-cardiac coherence to study the role of the brain in the development of muscular fatigue

机译:利用皮层-肌肉和皮层-心脏的连贯性研究大脑在肌肉疲劳发展中的作用

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We propose a method to analyze cortico-muscular and cortico-cardiac coupling during a cycling exercise in order to study the development of muscular fatigue. Our analysis is based in finding statistically significant changes in the coherence between electromyography (EMG) and electrocardiography (ECG) when compared against electroencephalography (EEG) signals. The coherence is a measure of the degree of correlation of the spectral power in an specified bandwidth between two signals, then EMG-EEG and ECG-EEG coherences are here analyzed during the development of muscular fatigue. For that purpose, we propose an experimental protocol in which a personalized fatigue threshold is found for the volunteers, then different levels of physical exertion are considered. Our results showed significant changes in the maximum cortico-muscular coherence in the beta brain rhythm as the exercise progresses and fatigue develops, as well as changes in the maximum cortico-cardiac coherence, again in the beta band, from the beginning to the end of the exercise protocol. (C) 2018 Elsevier Ltd. All rights reserved.
机译:为了研究肌肉疲劳的发展,我们提出了一种在自行车运动过程中分析皮质-肌肉和皮质-心脏耦合的方法。我们的分析是基于与脑电图(EEG)信号相比,发现肌电图(EMG)和心电图(ECG)之间的相干性具有统计学意义的变化。相干性是在两个信号之间的指定带宽中频谱功率的相关程度的度量,然后在分析肌肉疲劳发展过程中的EMG-EEG和ECG-EEG相干性。为此,我们提出了一项实验协议,其中为志愿者找到了个性化的疲劳阈值,然后考虑了不同程度的体力消耗。我们的研究结果显示,随着锻炼的进行和疲劳的发展,β脑节律的最大皮层-肌肉连贯性发生了显着变化,并且从开始到结束,最大的皮层-心脏连贯性也在β带中发生了变化。运动方案。 (C)2018 Elsevier Ltd.保留所有权利。

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