期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 330, 期 1-2, 页码 53-60出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2003.08.022
关键词
complexity; human gait; locomotion; neural control; multiscale entropy
资金
- NCRR NIH HHS [P41 RR013622] Funding Source: Medline
We compare the complexity of human gait time series from healthy subjects under different conditions. Using the recently developed multiscale entropy algorithm, which provides a way to measure complexity over a range of scales, we observe that normal spontaneous walking has the highest complexity when compared to slow and fast walking and also to walking paced by a metronome. These findings have implications for modeling locomotor control and for quantifying gait dynamics in physiologic and pathologic states. (C) 2003 Elsevier B.V. All rights reserved.
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