Centre for Health Sciences Research, University of Salford, Salford, Manchester, UK.
Centre for Health Sciences Research, University of Salford, Salford, Manchester, UK.
J Electromyogr Kinesiol. 2020 Dec;55:102473. doi: 10.1016/j.jelekin.2020.102473. Epub 2020 Sep 17.
There are minimal data describing the between-day repeatability of EMG measurements during running. Furthermore, there are no data characterising the repeatability of surface EMG measurement from the adductor muscles, during running or walking. The purpose of this study was to report on the consistency of EMG measurement for both running and walking across a comprehensive set of lower limb muscles, including adductor magnus, longus and gracilis. Data were collected from 12 lower limb muscles during overground running and walking on two separate days. The coefficient of multiple correlation (CMC) was used to quantify waveform similarity across the two sessions for signals normalised to either maximal voluntary isometric contraction (MVIC) or mean/peak signal magnitude. For running, the data showed good or excellent repeatability (CMC = 0.87-0.96) for all muscles apart from gracilis and biceps femoris using the MVIC method. Similar levels of repeatability were observed for walking. Importantly, using the peak/mean method as an alternative to the MVIC method, resulted in only marginal improvements in repeatability. The proposed protocol facilitated the collection of repeatable EMG data during running and walking and therefore could be used in future studies investigating muscle patterns during gait.
关于在跑步过程中肌电图（EMG）测量的日间重复性，目前仅有少量数据加以描述。此外，在跑步或行走过程中，尚无关于内收肌群表面 EMG 测量重复性的数据。本研究旨在报告在包括大收肌、长收肌和短收肌在内的一系列下肢肌肉中，EMG 测量在跑步和行走时的一致性。数据是在两天的时间里，从 12 块下肢肌肉的地面跑步和行走中收集的。采用多重相关系数（CMC）来量化两次测试中信号的波形相似度，信号被归一化为最大随意等长收缩（MVIC）或平均/峰值信号幅度。对于跑步，使用 MVIC 方法，除了使用 MVIC 方法时的短收肌和股二头肌外，所有肌肉的 CMC 均为 0.87-0.96，显示出良好或优秀的可重复性。步行时也观察到类似的可重复性水平。重要的是，使用峰值/均值方法代替 MVIC 方法，仅使可重复性略有提高。该方案有助于在跑步和行走过程中收集可重复的 EMG 数据，因此可用于未来研究步态中的肌肉模式。
