Multiscale entropy analysis of human gait dynamics

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 wh...

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Bibliographic Details
Published inPhysica A Vol. 330; no. 1; pp. 53 - 60
Main Authors Costa, M., Peng, C.-K., L. Goldberger, Ary, Hausdorff, Jeffrey M.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.12.2003
Subjects
Complexity
Human gait
Locomotion
Multiscale entropy
Neural control
Neural control
Locomotion
89.75.Da
Multiscale entropy
87.10.+e
89.75.−k
Human gait
Complexity
Online AccessGet full text
ISSN0378-4371
1873-2119
1873-2119
DOI10.1016/j.physa.2003.08.022

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Summary: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.
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ISSN:0378-4371
1873-2119
1873-2119
DOI:10.1016/j.physa.2003.08.022