Sex differences in myoelectric manifestations of shoulder fatigue in time–frequency and complexity domains during a repetitive shoulder height task

IF 2.3 4区 医学 Q3 NEUROSCIENCES
Yiyang Chen , Di Kang , Julie N. Côté
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引用次数: 0

Abstract

Previous studies have shown sex differences in muscle activation amplitude and frequency spectrum during fatiguing shoulder-height tasks. However, time–frequency and complexity analyses may reveal new features of the shoulder’s injury exposure with fatigue, but have never been compared between sexes. Fifty-five (29 females) asymptomatic young adults performed a repetitive, forward–backward shoulder height task until scoring 8/10 on a Borg CR10 scale while surface electromyography (EMG) of upper trapezius, anterior deltoid, biceps brachii, and triceps brachii was recorded. Findings show that 1) all muscles displayed decreased sample entropy and mean frequency with fatigue; 2) fatigue led to decreased major frequency (i.e., frequency with the highest power on the wavelet scalogram) of anterior deltoid, biceps brachii, and triceps but not upper trapezius; 3) females’ biceps brachii mean frequency and complexity were significantly higher than males’; all other frequency components were similar between sexes; 4) females showed significantly lower complexity of anterior deltoid. Results suggest that entropy and continuous wavelet transform analyses are capable of revealing new effects of sex and fatigue in myoelectric manifestations of repetitive shoulder tasks. This information may be useful towards modeling shoulder joint loads and predicting sex-specific shoulder injury risks in future applications.
重复性肩高任务时肩疲劳的肌电表现在时间频率和复杂性域的性别差异
先前的研究表明,在肩部高度的疲劳任务中,肌肉激活幅度和频谱存在性别差异。然而,时间频率和复杂性分析可能揭示了疲劳肩关节损伤暴露的新特征,但从未在性别之间进行过比较。55名(29名女性)无症状的年轻人进行了重复的前后肩高任务,直到在Borg CR10量表上获得8/10分,同时记录了上斜方肌、前三角肌、肱二头肌和肱三头肌的表面肌电图(EMG)。结果表明:1)随着疲劳,所有肌肉的样本熵和平均频率均下降;2)疲劳导致前三角肌、肱二头肌和肱三头肌的主频率(即小波谱上功率最大的频率)下降,而斜方肌上部没有下降;3)雌性肱二头肌平均出现频率和复杂程度显著高于雄性;所有其他频率成分在性别之间相似;4)女性前三角肌复杂性明显降低。结果表明,熵和连续小波变换分析能够揭示性别和疲劳对重复性肩部任务肌电表现的新影响。在未来的应用中,这些信息可能有助于建立肩关节负荷模型和预测性别特异性肩关节损伤风险。
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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