肌内肌表肌电信号与肌肉疲劳指标的相关性研究

Gyutae Kim, M. Ahad, M. Ferdjallah, G. Harris
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引用次数: 20

摘要

均方根(RMS)、平均校正值(ARV)和平均频率(MNF)是肌肉疲劳的指标。本文研究了肌肉疲劳与这些指标之间的关系。通过绘制表肌肌电图与肌内肌电图的归一化指标,也考虑了肌肉疲劳指标之间的相关性。将肌电数据等分段,计算每段的指标。计算出的指标在时域上绘制,并进行线性回归分析,找出表面指标和肌内指标之间的趋势和关系。随着肌肉疲劳的进展,RMS和ARV的斜率增大,而MNF的斜率减小。对于标准化的RMS、ARV和MNF,绘制表面肌电图与肌内肌电图,并检查它们的相关性。与归一化RMS图和AR图相比,归一化MNF的变化率较慢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of muscle fatigue indices between intramuscular and surface EMG signals
The root mean square (RMS), the average rectified value (ARV), and the mean frequency (MNF) are indices of muscle fatigue. In this paper, the relationship between the muscle fatigue and these metrics was examined. The correlation among the muscle fatigue indices was also considered by plotting the normalized metrics of surface versus intramuscular EMG. The EMG data was divided into equal segments, and the metrics were calculated in each segment. The calculated metrics were plotted in time domain, and linear regression analysis was performed to find the tendencies and relationships between surface and intramuscular metrics. As the muscle fatigue progressed, the slope of RMS and ARV increased, while that of MNF deceased. For the normalized RMS, ARV, and MNF, the surface versus intramuscular EMG was plotted, and their correlations were examined. Compared with normalized RMS and AR Vplots, the normalized MNF showed a slower change-rate.
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