Department of Kinesiology, University of Maryland, College Park, MD, USA.
J Electromyogr Kinesiol. 1994;4(3):143-52. doi: 10.1016/1050-6411(94)90015-9.
This study investigated the influence of an elbow flexion task, graded from 0-100% maximum voluntary contraction (MVC), on torque production and muscle activity in isometric supination and pronation MVC tasks. Torque in both degrees-of-freedom (df) and surface electromyographic (EMG) records from several sites on muscles crossing the elbow were collected as subjects performed isometric elbow supination or pronation MVCs while ostensibly maintaining a flexion torque target. Task effects were statistically tested using analysis of covariance (ANCOVA) and modelled with polynomial regression techniques. Muscular synergism was examined using a multivariate analysis of covariance (MANCOVA) model to test interactions between EMG site responses and flexion torque changes. The results demonstrate that the flexion torque level modulates the supination MVC torque level and the EMG amplitude of all monitored muscles. Further, the synergistic pattern of muscle activity was significantly influenced by the flexion df task. These results suggest that both uni- and multifunctional muscles may be influenced by dual df tasks. Comparison of these results with the dual df task literature suggests that investigating these behaviours across a full range of torque levels is critical because the present findings lead to conclusions that differ somewhat from studies investigating tasks performed only at low or high torque levels.
本研究探讨了从 0-100%最大自主收缩(MVC)分级的肘部弯曲任务对等长旋后和旋前 MVC 任务中扭矩产生和肌肉活动的影响。当受试者在表面上保持弯曲扭矩目标时,执行等长肘部旋后或旋前 MVC 时,收集了两个自由度(df)的扭矩和穿过肘部的肌肉的几个部位的表面肌电图(EMG)记录。使用协方差分析(ANCOVA)对任务效果进行了统计检验,并使用多项式回归技术对其进行建模。使用多元协方差分析(MANCOVA)模型检查肌肉协同作用,以测试 EMG 部位反应与弯曲扭矩变化之间的相互作用。结果表明,弯曲扭矩水平调节旋后 MVC 扭矩水平和所有监测肌肉的 EMG 幅度。此外,弯曲 df 任务显著影响肌肉活动的协同模式。这些结果表明,单功能和多功能肌肉都可能受到双 df 任务的影响。将这些结果与双 df 任务文献进行比较表明,跨全扭矩范围研究这些行为至关重要,因为目前的研究结果得出的结论与仅在低或高扭矩水平下进行的研究有所不同。