基于Lyapunov指数的步态稳定性研究

J. Galarza, D. Caruntu, S. Vásquez, R. Freeman
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引用次数: 0

摘要

这项工作涉及人类步态动力学的稳定性。这是一个常见的练习。本研究的重点是分析膝关节角度的时间序列,并计算在地上和跑步机上行走的散度。实验采用动作捕捉技术捕捉运动。利用MATLAB软件包从时间序列中计算李雅普诺夫指数。结果与文献中类似研究进行了比较。这项工作提供了对跑步机行走的稳定性水平的见解。与正常步态稳定性的比较可能会让我们了解跑步机如何促进步态康复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gait Stability Using Lyapunov Exponents
This work deals with the stability of the dynamics of human gait. This is a common exercise. The focus of this investigation is to analyze the knee angle time series and calculate the divergence for over-ground and treadmill walking. Experiments using motion capture technology are used to capture the movement. MATLAB software package is used to calculate the Lyapunov Exponents from the time series. Results are compared with similar studies in the literature. This work provides an insight on the level of stability for treadmill walking. A comparison with stability of normal gait might give an insight on how the treadmill can facilitate rehabilitation using gait.
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