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Multiscale entropy analysis of human gait dynamics


  • Costa, M.
  • Peng, C.-K.
  • L. Goldberger, Ary
  • Hausdorff, Jeffrey M.


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.

Suggested Citation

  • Costa, M. & Peng, C.-K. & L. Goldberger, Ary & Hausdorff, Jeffrey M., 2003. "Multiscale entropy analysis of human gait dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 330(1), pages 53-60.
  • Handle: RePEc:eee:phsmap:v:330:y:2003:i:1:p:53-60
    DOI: 10.1016/j.physa.2003.08.022

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