基于肌肉协同法的步态运动功能评价*

Yanxia Deng, Farong Gao, Chao Chen, Ying Cao
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引用次数: 0

摘要

考虑到人体下肢步态运动中涉及的多肌肉协同作用的复杂性和功能性,提出了一种基于协同结构的步态功能评价方法。首先,收集选定肌肉的表面肌电图(sEMG)并进行预处理,提取其包膜;其次,采用非负矩阵分解算法解耦,提取步态动作的协同元素,计算相应的激活系数,并将这些数据转换为归一化形式。然后,分析了协同运动的能量分布和复杂性。最后,根据协同结构映射步态运动函数,判断步态相位是否正常。本研究有助于在康复治疗框架下对下肢步态进行定量分析和运动功能评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gait Motor Function Evaluation Based on Muscle Synergy Method*
Considering the complexity and functionality of multi-muscle synergies, involved in the human lower limb gait movement, a gait function evaluation method, based on synergy structure, is proposed. Firstly, the surface electromyography (sEMG) from selected muscles are collected and pretreated, to extract its envelope. Next, it is decoupled by the algorithm of non-negative matrix decomposition, so that the synergy elements of the gait action can be extracted and the corresponding activation coefficients calculated, while subsequently these data are converted into normalized form. Then, the energy distribution and complexity of the synergy motion are analyzed. Finally, the function of gait motion is mapped, according to synergy structure, to determine whether the gait phases are normal or not. This study is helpful for quantitative analysis of lower limb gait and evaluation of motor function, in the framework of rehabilitation therapy.
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