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

机译:识别在前臂肌肉中引出最大自愿收缩的任务

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摘要

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 com munis muscles to obtain baselines for activation levels and patterns may not be appropriate.
机译:最大自愿收缩(MVC)通常用于肌电图数据的正常化,以便能够比较研究参与者内部和之间的信号模式。已经就收集前臂肌肉MVC所需的任务类型提出了建议,特别是提倡使用阻力矩任务来更好地估计前臂MVC。然而,详细说明要采用哪些特定任务的协议尚未公布。此外,以前还没有考虑肢体优势对MVC收集的影响。在23名参与者执行九项等长、阻力任务的同时,对肌肉活动进行了监测。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、指总伸肌和旋前圆肌MVC的任务。因此,可以设计有针对性的协议来缓解疲劳。手优势作用有限,仅在手指屈肌和伸肌中存在差异(p<0.03)。因此,使用对侧指浅屈肌和指伸肌来获得激活水平和模式的基线可能不合适。

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