Nonlinear dynamical model of human gait

Bruce J. West and Nicola Scafetta
Phys. Rev. E 67, 051917 – Published 20 May 2003
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Abstract

We present a nonlinear dynamical model of the human gait control system in a variety of gait regimes. The stride-interval time series in normal human gait is characterized by slightly multifractal fluctuations. The fractal nature of the fluctuations becomes more pronounced under both an increase and decrease in the average gait. Moreover, the long-range memory in these fluctuations is lost when the gait is keyed on a metronome. Human locomotion is controlled by a network of neurons capable of producing a correlated syncopated output. The central nervous system is coupled to the motocontrol system, and together they control the locomotion of the gait cycle itself. The metronomic gait is simulated by a forced nonlinear oscillator with a periodic external force associated with the conscious act of walking in a particular way.

  • Received 9 December 2002

DOI:https://doi.org/10.1103/PhysRevE.67.051917

©2003 American Physical Society

Authors & Affiliations

Bruce J. West1,2,3 and Nicola Scafetta1,2

  • 1Pratt School of EE Department, Duke University, P.O. Box 90291, Durham, North Carolina 27701
  • 2Physics Department, Duke University, Durham, North Carolina 27701
  • 3Mathematics Division, Army Research Office, Research Triangle Park, North Carolina 27709

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Issue

Vol. 67, Iss. 5 — May 2003

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