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运动模块与步态运动基元之间的关联:肌肉与运动学协同研究。

The association between motor modules and movement primitives of gait: A muscle and kinematic synergy study.

机构信息

Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran.

Mechanical Engineering Department, Sharif University of Technology, Tehran, Iran.

出版信息

J Biomech. 2022 Mar;134:110997. doi: 10.1016/j.jbiomech.2022.110997. Epub 2022 Feb 12.

Abstract

In spite of the extensive literature on the analysis of the muscle synergies during gait, the functionality of these synergies has not been studied in detail. This study explored the relationship between the motor modules and the kinematic maneuvers involved in human walking. Motion and surface electromyography data (of 28 trunk and lower extremity muscles) were acquired from ten healthy subjects during ten trials of self-selected speed gait each. The joint angle trajectories were half-wave rectified and divided into two independent positive directional degrees-of-freedom. The muscle and kinematic synergies were both extracted using the non-negative matrix factorization (NNMF) technique and clustered via k-means method. Results indicated that for both the muscle and kinematic synergies, a same number of modules (five) could reconstruct the 200 limb-trial data reasonably well. Moreover, each individual muscle synergy was found to be associated with a single kinematic synergy, based on the similar activation periods of the paired muscle and kinematic modules and the high correlation of their activation patterns (r = 0.88 ± 0.05), with a consistent phase advance for muscle synergies (mean = 7.59 ± 2.34 %). It was concluded that there is a one-to-one association between the motor modules and kinematic synergies, suggesting that each individual kinematic synergy, representing a movement primitive of human walking, might be implemented by recruitment of a paired motor module.

摘要

尽管关于步态中肌肉协同作用的分析有大量文献,但这些协同作用的功能尚未得到详细研究。本研究探讨了运动模块与人类行走中涉及的运动学动作之间的关系。在十次自我选择速度行走的试验中,从十个健康受试者中采集了运动和表面肌电图数据(28 个躯干和下肢肌肉)。关节角度轨迹被半波整流,并分为两个独立的正向自由度。使用非负矩阵分解(NNMF)技术提取肌肉和运动协同作用,并通过 K 均值方法对其进行聚类。结果表明,对于肌肉和运动协同作用,相同数量的模块(五个)可以合理地重建 200 个肢体试验数据。此外,根据配对肌肉和运动模块的相似激活期以及它们的激活模式的高度相关性(r=0.88±0.05),发现每个个体肌肉协同作用都与单个运动协同作用相关联,并且肌肉协同作用的相位提前一致(均值=7.59±2.34%)。结论是运动模块和运动协同作用之间存在一一对应关系,这表明每个单独的运动协同作用,代表人类行走的运动基元,可能通过募集配对的运动模块来实现。

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