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首页> 外文会议>33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Repeatability of surface EMG-based single parameter muscle fatigue assessment strategies in static and cyclic contractions
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Repeatability of surface EMG-based single parameter muscle fatigue assessment strategies in static and cyclic contractions

机译：基于表面肌电图的单参数肌肉疲劳评估策略在静态和循环收缩中的可重复性

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The repeatability of a spectral surface electromyography-based fatigue assessment strategy was evaluated. Variability of two fatigue-trend tracking parameters was used as an indicator for repeatability. The parameters were the natural logarithm of the slope of linear mean frequency decline lnMFS and the percent drop in mean frequency MFD. The coefficient of variation CoV was used as the metric for repeatability, representing the ratio of the standard deviation to the mean of repeated measures from the same individual. Five weekly fatigue tests on the right biceps brachii were conducted on 11 participants with a fatiguing regime comprising of alternating static and cyclic segments, collecting seven channels of differential EMG. The resulting 95% confidence intervals of the CoV were: 15.38–24.87% (Static lnMFS), 12.21–23.36% (Cyclic lnMFS), 13.18–21.85% (Static MFD), and 12.37–24.39% (Cyclic MFD). There was no statistically significant difference in repeatability between any combination of parameter and types of motion.
机译：评估了基于频谱表面肌电图的疲劳评估策略的可重复性。两个疲劳趋势跟踪参数的可变性用作可重复性的指标。参数是线性平均频率下降lnMF S 的斜率的自然对数和平均频率MF D 的下降百分比。变异系数CoV用作可重复性的度量，表示标准差与同一个人重复测量的平均值之比。对11位参与者的疲劳肱二头肌进行了每周五次疲劳测试，疲劳状态包括交替的静态和循环部分，收集了七个差异肌电图通道。最终CoV的95％置信区间为：15.38–24.87％（静态lnMF S ），12.21–23.36％（循环lnMF S ），13.18–21.85％（静态MF D ）和12.37–24.39％（循环MF D ）。参数和运动类型的任何组合之间的可重复性在统计上都没有显着差异。

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