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Human Postural Control: Force Plate Experiments and Modelling

  • Michael Rosenblum
  • Georgy Firsov
  • Robert Kuuz
  • Bernd Pompe

Abstract

We report the results of time series analysis of human body sway while quiet upright stance. The bivariate records (stabilograms) are measured by means of a force plate. To investigate interrelations between oscillations in anterior-posterior and lateral directions we use several techniques: cross-spectrum analysis, generalized mutual information, and calculation of instantaneous relative phase. We find that the stabilograms can be qualitatively rated into two groups: noisy and oscillatory patterns. Further, we show that oscillatory patterns may demonstrate phase locking. We argue that these patterns are due to stochastic and chaotic dynamics, respectively. We discuss the plausible strategy of postural control and present the model that qualitatively describes transitions from noisy to oscillatory patterns and phase synchronization. The relevance of the results of the time series analysis for the diagnostics of neurological pathologies is discussed.

Keywords

Mutual Information Phase Synchronization Coherence Function Chaotic Oscillator Oscillatory Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Michael Rosenblum
    • 1
    • 2
  • Georgy Firsov
    • 2
  • Robert Kuuz
    • 3
  • Bernd Pompe
    • 4
  1. 1.Max-Planck-Arbeitsgruppe “Nichtlineare Dynamik” an der Universität PotsdamPotsdamGermany
  2. 2.Mechanical Engineering Research InstituteRussian Academy of SciencesMoscowRussia
  3. 3.Clinic for Nervous DiseasesI. M. Sechenov Moscow Medical AcademyMoscowRussia
  4. 4.Institut für PhysikErnst-Moritz-Arndt-Universität GreifswaldGreifswaldGermany

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