...
首页> 外文期刊>Human movement science >Inter-individual variability of forces and modular muscle coordination in cycling: A study on untrained subjects
【24h】

Inter-individual variability of forces and modular muscle coordination in cycling: A study on untrained subjects

机译:骑行中个体间力的变化和模块化肌肉协调性:未经训练的受试者的研究

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The aim of this study was to investigate the muscle coordination underlying pedaling in untrained subjects by using the muscle synergies paradigm, and to connect it with the inter-individual variability of EMG patterns and applied forces. Nine subjects performed a pedaling exercise on a cycle-simulator. Applied forces were recorded by means of instrumented pedals able to measure two force components. EMG signals were recorded from eight muscles of the dominant leg, and Nonnegative Matrix Factorization was applied to extract muscle synergy vectors W and time-varying activation coefficients H. Inter-individual variability was assessed for EMG patterns, force profiles, and H. Four modules were sufficient to reconstruct the muscle activation repertoire for all the subjects (variance accounted for >90% for each muscle). These modules were found to be highly similar between subjects in terms of W (mean r=89), while most of the variability in force profiles and EMG patterns was reflected, in the muscle synergy structure, in the variability of H. These four modules have a functional interpretation when related to force distribution along the pedaling cycle, and the structure of W is shared with that present in human walking, suggesting the existence of a modular motor control in humans.
机译:这项研究的目的是通过使用肌肉协同作用范例来研究未经训练的受试者踩踏时的肌肉协调,并将其与肌电图模式和施加力的个体差异联系起来。九名受试者在自行车模拟器上进行了踏板运动。通过能够测量两个力分量的仪表踏板记录施加的力。从占优势腿的八块肌肉记录EMG信号,并应用非负矩阵分解法提取肌肉协同矢量W和随时间变化的激活系数H。评估EMG模式,力分布和H的个体差异。四个模块足以重建所有受试者的肌肉活化功能(差异占每条肌肉的> 90%)。发现这些模块在受试者之间在W方面高度相似(平均r = 89),而力分布图和EMG模式的大多数变异反映在肌肉协同结构中,在H的变异中。这四个模块当与踩踏周期中的力分布相关时,具有功能性解释,并且W的结构与人类步行中存在的结构共享,这表明在人类中存在模块化电动机控制。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号