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确定诱发前臂肌肉最大随意收缩的任务。

Identifying tasks to elicit maximum voluntary contraction in the muscles of the forearm.

机构信息

Department of Bioengineering, Imperial College London, London, United Kingdom.

出版信息

J Electromyogr Kinesiol. 2020 Dec;55:102463. doi: 10.1016/j.jelekin.2020.102463. Epub 2020 Sep 8.

Abstract

Maximum voluntary contractions (MVCs) are often used for the normalisation of electromyography data to enable comparison of signal patterns within and between study participants. Recommendations regarding the types of tasks that are needed to collect MVCs for the muscles of the forearm have been made, specifically advocating the use of resisted moment tasks to get better estimates of forearm MVCs. However, a protocol detailing which specific tasks to employ has yet to be published. Furthermore, the effects of limb dominance on the collection of MVCs have not been considered previously. Muscle activity was monitored while 23 participants performed nine isometric, resisted tasks. The tasks that are likely to elicit MVC in the flexor carpi ulnaris, flexor carpi radialis, flexor digitorum superficialis, extensor carpi ulnaris, extensor carpi radialis, extensor digitorum communis, and pronator teres were identified. Thus, targeted protocols can be designed to mitigate against fatigue. Hand dominance had limited effect, with differences being found only in the finger flexors and extensors (p< 0.03). Thus, use of the contralateral flexor digitorum superficialis and extensor digitorum communis muscles to obtain baselines for activation levels and patterns may not be appropriate.

摘要

最大随意收缩(MVC)常用于肌电图数据的归一化,以实现研究参与者内和参与者之间的信号模式比较。已经提出了用于前臂肌肉收集 MVC 的任务类型的建议,特别提倡使用阻力矩任务以更好地估计前臂 MVC。然而,尚未发布详细说明应采用哪些特定任务的协议。此外,以前没有考虑过肢体优势对 MVC 收集的影响。当 23 名参与者进行九项等长、抗阻任务时,监测肌肉活动。确定了可能引起尺侧腕屈肌、桡侧腕屈肌、指浅屈肌、尺侧腕伸肌、桡侧腕伸肌、指深屈肌和旋前圆肌 MVC 的任务。因此,可以设计有针对性的方案来减轻疲劳。手优势的影响有限,仅在手指屈肌和伸肌中发现差异(p<0.03)。因此,使用对侧指浅屈肌和指深屈肌来获得激活水平和模式的基线可能不合适。

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