Trunk extensor muscle endurance and its relationship to action potential conduction velocity and spectral parameters estimated using high-density electromyography

IF 2 4区 医学 Q3 NEUROSCIENCES
Niels P. Brouwer , Ali Tabasi , Idsart Kingma , Dick F. Stegeman , Wietse van Dijk , Alejandro Moya-Esteban , Massimo Sartori , Jaap H. van Dieën
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引用次数: 1

Abstract

Trunk extensor muscle fatigue typically manifests as a decline in spectral content of surface electromyography. However, previous research on the relationship of this decline with trunk extensor muscle endurance have shown inconsistent results. The decline of spectral content mainly reflects the decrease in average motor unit action potential conduction velocity (CV). We evaluated whether the rate of change in CV, as well as two approaches employing the change in spectral content, are related to trunk extensor muscle endurance. Fourteen healthy male participants without a low-back pain history performed a non-strictly controlled static forward trunk bending trial until exhaustion while standing. For 13 participants, physiologically plausible CV estimates were obtained from high-density surface electromyography bilaterally from T6 to L5. Laterally between L1 and L2, the linear rate of CV change was strongly correlated to endurance time (R2 = 0.79), whereas analyses involving the linear rate of change in spectral measures showed a lower (R2 = 0.38) or no correlation. For medial electrode locations, estimating CV and its relationship with endurance time was less successful, while the linear rate of change in spectral measures correlated moderately to endurance time (R2 = 0.44; R2 = 0.56). This study provides guidance on monitoring trunk extensor muscle fatigue development using electromyography.

用高密度肌电图估计躯干伸肌耐力及其与动作电位传导速度和频谱参数的关系。
躯干伸肌疲劳通常表现为表面肌电图频谱含量的下降。然而,先前关于这种下降与躯干伸肌耐力之间关系的研究显示出不一致的结果。频谱含量的下降主要反映了平均运动单位动作电位传导速度(CV)的下降。我们评估了CV的变化率以及使用光谱含量变化的两种方法是否与躯干伸肌耐力有关。14名没有腰痛史的健康男性参与者进行了一项非严格控制的静态向前躯干弯曲试验,直到站立时筋疲力尽。对于13名参与者,从T6至L5的双侧高密度表面肌电图中获得了生理上合理的CV估计值。在L1和L2之间,CV的线性变化率与耐受时间密切相关(R2=0.79),而涉及光谱测量线性变化率的分析显示相关性较低(R2=0.38)或无相关性。对于内侧电极位置,估计CV及其与耐力时间的关系不太成功,而光谱测量的线性变化率与耐力时间适度相关(R2=0.44;R2=0.56)。本研究为使用肌电图监测躯干伸肌疲劳发展提供了指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.70
自引率
8.00%
发文量
70
审稿时长
74 days
期刊介绍: Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques. As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.
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