Understanding the complexity of human gait dynamics

Nicola Scafetta; Damiano Marchi; Bruce J. West

doi:10.1063/1.3143035

journal article Jun 01, 2009

Understanding the complexity of human gait dynamics

Nicola Scafetta

Damiano Marchi

Bruce J. West

Chaos: An Interdisciplinary Journal of Nonlinear Science Vol. 19 No. 2 · AIP Publishing

View at Publisher Save 10.1063/1.3143035

Abstract

Time series of human gait stride intervals exhibit fractal and multifractal properties under several conditions. Records from subjects walking at normal, slow, and fast pace speed are analyzed to determine changes in the fractal scalings as a function of the stress condition of the system. Records from subjects with different age from children to elderly and patients suffering from neurodegenerative disease are analyzed to determine changes in the fractal scalings as a function of the physical maturation or degeneration of the system. A supercentral pattern generator model is presented to simulate the above two properties that are typically found in dynamical network performance: that is, how a dynamical network responds to stress and to evolution.

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Details

Published: Jun 01, 2009
Vol/Issue: 19(2)

Authors

N

Nicola Scafetta

Duke University 1 Department of Physics, , Durham, North Carolina 27708, USA

D

Damiano Marchi

Duke University 2 Department of Evolutionary Anthropology, , Durham, North Carolina 27708, USA

B

Bruce J. West

Duke University 1 Department of Physics, , Durham, North Carolina 27708, USA; Army Research Office 3 Mathematical and Information Science, , Research Triangle Park, North Carolina 27709, USA

Cite This Article

Nicola Scafetta, Damiano Marchi, Bruce J. West (2009). Understanding the complexity of human gait dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 19(2). https://doi.org/10.1063/1.3143035

Understanding the complexity of human gait dynamics

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