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上肢特定肌肉的力量与疲劳性:评估与网球肘相关的肌肉失衡

Strength and fatigability of selected muscles in upper limb: assessing muscle imbalance relevant to tennis elbow.

作者信息

Alizadehkhaiyat O, Fisher A C, Kemp G J, Frostick S P

机构信息

Musculoskeletal Science Research Group, University of Liverpool, Liverpool, UK.

出版信息

J Electromyogr Kinesiol. 2007 Aug;17(4):428-36. doi: 10.1016/j.jelekin.2006.04.007. Epub 2006 Jun 27.

Abstract

PURPOSE

The aetiology of tennis elbow has remained uncertain for more than a century. To examine muscle imbalance as a possible pathophysiological factor requires a reliable method of assessment. This paper describes the development of such a method and its performance in healthy subjects. We propose a combination of surface and fine-wire EMG of shoulder and forearm muscles and wrist strength measurements as a reliable tool for assessing muscle imbalance relevant to the pathophysiology of tennis elbow.

METHODS

Six healthy volunteers participated. EMG data were acquired at 50% maximal voluntary isometric contraction from five forearm muscles during grip and three shoulder muscles during external rotation and abduction, and analysed using normalized median frequency slope as a fatigue index. Wrist extension/flexion strength was measured using a purpose-built dynamometer.

RESULTS

Significant negative slope of median frequency was found for all muscles, with good reproducibility, and no significant difference in slope between the different muscles of the shoulder and the wrist. (Amplitude slope showed high variability and was therefore unsuitable for this purpose.) Wrist flexion was 27+/-8% stronger than extension (mean+/-SEM, p=0.006).

CONCLUSION

This is a reliable method for measuring muscle fatigue in forearm and shoulder. EMG and wrist strength studies together can be used for assessing and identifying the muscle balance in the wrist-forearm-shoulder chain.

摘要

目的

网球肘的病因在一个多世纪以来一直不明。要将肌肉失衡作为一个可能的病理生理因素来研究,需要一种可靠的评估方法。本文描述了这样一种方法的开发及其在健康受试者中的表现。我们提出将肩部和前臂肌肉的表面肌电图和细丝肌电图以及腕部力量测量相结合,作为评估与网球肘病理生理相关的肌肉失衡的可靠工具。

方法

六名健康志愿者参与。在最大自主等长收缩的50%时,采集抓握时五块前臂肌肉以及外旋和外展时三块肩部肌肉的肌电图数据,并使用归一化中频斜率作为疲劳指数进行分析。使用特制测力计测量腕部伸展/屈曲力量。

结果

所有肌肉均发现中频有显著的负斜率,具有良好的可重复性;肩部和腕部不同肌肉之间的斜率无显著差异。(幅度斜率显示出高度变异性,因此不适合用于此目的。)腕部屈曲比伸展强27±8%(平均值±标准误;p = 0.006)。

结论

这是一种测量前臂和肩部肌肉疲劳的可靠方法。肌电图和腕部力量研究可共同用于评估和识别腕-前臂-肩部链中的肌肉平衡。

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