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Hölder exponent spectra for human gait

Author

Listed:
  • Scafetta, N
  • Griffin, L
  • West, B.J

Abstract

The stride interval time series in normal human gait is not strictly constant, but fluctuates from step to step in a complex manner. More precisely, it has been shown that the control process for human gait is a fractal random phenomenon, that is, one with a long-term memory. Herein we study the Hölder exponent spectra for the slow, normal and fast gaits of 10 young healthy men in both free and metronomically triggered conditions and establish that the stride interval time series is more complex than a monofractal phenomenon. A slightly multifractal and non-stationary time series under the three different gait conditions emerges.

Suggested Citation

  • Scafetta, N & Griffin, L & West, B.J, 2003. "Hölder exponent spectra for human gait," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(3), pages 561-583.
    • Handle: RePEc:eee:phsmap:v:328:y:2003:i:3:p:561-583
    DOI: 10.1016/S0378-4371(03)00527-2
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    Cited by:

    1. Loutridis, S.J., 2007. "An algorithm for the characterization of time-series based on local regularity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 383-398.
    2. Stratimirovic, Djordje & Batas-Bjelic, Ilija & Djurdjevic, Vladimir & Blesic, Suzana, 2021. "Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    3. Pont, Oriol & Turiel, Antonio & Pérez-Vicente, Conrad J., 2009. "Empirical evidences of a common multifractal signature in economic, biological and physical systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(10), pages 2025-2035.
    4. Makowiec, Danuta & Dudkowska, Aleksandra & Gała̧ska, Rafał & Rynkiewicz, Andrzej, 2009. "Multifractal estimates of monofractality in RR-heart series in power spectrum ranges," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3486-3502.
    5. Scarlat, E.I. & Stan, Cristina & Cristescu, C.P., 2007. "Self-similar characteristics of the currency exchange rate in an economy in transition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 188-198.

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