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Detection of Muscle Fatigue during Low-Level Isometric Contraction using Recurrence Quantification Analysis

机译:循环定量分析在低等距收缩过程中的肌肉疲劳检测

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This study aimed to detect muscle fatigue during low-level isometric contraction using recurrence quantification analysis (RQA). It also examined whether the electrode configuration affects the sensitivity of detection of muscle fatigue. Five healthy subjects in their 20s participated in the experiment. They kept their dominant arm fixed parallel to the floor for 10 minutes. The surface EMG signal from the biceps brachii was recorded using unipolar and bipolar configurations. The RQA-based fatigue index was calculated as the percentage of determinism (%DET). The results can be summarized as follows. 1) %DET significantly increased with progression of fatigue. RQA is therefore capable of detecting muscle fatigue during low-level isometric contraction. 2) The %DET recorded by the unipolar configuration exhibited somewhat larger variation than that recorded by the bipolar configuration. The unipolar configuration appears to be more effective in detecting muscle fatigue by RQA. 3) %DET is more sensitive than a traditional index, median frequency (MDF), to fatigue-induced changes.
机译:这项研究旨在使用递归量化分析(RQA)检测低等距收缩过程中的肌肉疲劳。它还检查了电极配置是否会影响肌肉疲劳检测的灵敏度。 20多岁的5名健康受试者参加了实验。他们将优势臂与地板平行固定10分钟。使用单极和双极配置记录来自肱二头肌的表面肌电信号。基于RQA的疲劳指数计算为确定性百分比(%DET)。结果可以总结如下。 1)%DET随着疲劳的进行而显着增加。因此,RQA能够在低等距收缩期间检测肌肉疲劳。 2)单极性构型所记录的%DET表现出比双极性构型所记录的%DET稍大的变化。单极配置似乎在通过RQA检测肌肉疲劳方面更有效。 3)%DET比传统指标中值频率(MDF)对疲劳引起的变化更敏感。

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