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表面肌电信号的峰值计数在动态收缩过程中肌肉疲劳的量化中的应用。

Peak counting in surface electromyography signals for quantification of muscle fatigue during dynamic contractions.

机构信息

Biomechanics Research Group, Faculty of Sport Sciences, Hacettepe University, Ankara, Turkey.

Biomechanics Research Group, Faculty of Sport Sciences, Hacettepe University, Ankara, Turkey.

出版信息

Med Eng Phys. 2022 Sep;107:103844. doi: 10.1016/j.medengphy.2022.103844. Epub 2022 Jul 3.

Abstract

This study aimed to assess the utility of peak counting in dynamic muscle contractions. Surface electromyography (sEMG) data were collected from three quadriceps femoris muscles of twelve healthy individuals during 50 repeated isokinetic knee extensions. The level of muscle fatigue was quantified by applying peak counting, mean frequency (MNF), and median frequency (MDF) to sEMG signals, and a fatigue index value was extracted for each parameter. The Bland-Altman plots were used to show the agreement between the methods based on the fatigue index values. The relationship between MNF, MDF and number of peaks (NoP) was described by using linear regression models. The results showed that the peak counting method measures the fatigue level of the muscles equivalent to MNF and MDF in terms of fatigue index values. The peak counting method has a stronger relationship with MNF than MDF, considering the R-squared values of the linear regression models. In conclusion, peak counting was found to be a valid method, and the NoP was evaluated as a reliable parameter in the quantitative analysis of muscle fatigue during dynamic contractions.

摘要

本研究旨在评估在动态肌肉收缩中进行峰值计数的效用。在 50 次等速膝关节伸展运动中,从 12 名健康个体的三个股四头肌中采集表面肌电图 (sEMG) 数据。通过对 sEMG 信号应用峰值计数、平均频率 (MNF) 和中值频率 (MDF) 来量化肌肉疲劳程度,并为每个参数提取疲劳指数值。Bland-Altman 图用于根据疲劳指数值显示各方法之间的一致性。使用线性回归模型描述 MNF、MDF 和峰值数 (NoP) 之间的关系。结果表明,峰值计数方法在疲劳指数值方面,与 MNF 和 MDF 测量肌肉疲劳水平等效。考虑到线性回归模型的 R 平方值,峰值计数方法与 MNF 的关系比 MDF 更强。总之,峰值计数被发现是一种有效的方法,并且在动态收缩期间的肌肉疲劳的定量分析中,NoP 被评估为一个可靠的参数。

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