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Related Experiment Videos

Recurrence quantification analysis of postural fluctuations.

M A Riley1, R Balasubramaniam, M T Turvey

  • 1Center for the Ecological Study of Perception and Action, Department of Psychology, University of Connecticut, Storrs 06269, USA. mar95003@uconnvm.uconn.edu

Gait & Posture
|November 27, 1999
PubMed
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Recurrence quantification analysis (RQA) reveals how vision and head orientation impact balance control. This method quantifies sway dynamics, showing vision affects balance complexity and head position influences sway nonstationarity.

Area of Science:

  • Biomechanics
  • Human postural control
  • Dynamical systems analysis

Background:

  • Postural sway is crucial for maintaining balance.
  • Center of pressure (COP) signals reflect postural control strategies.
  • Analyzing nonstationary signals like COP is challenging.

Purpose of the Study:

  • Introduce recurrence quantification analysis (RQA) for COP signals.
  • Investigate the effects of vision and head orientation on COP dynamics.
  • Quantify changes in balance control under different sensory and postural conditions.

Main Methods:

  • Applied RQA to COP data from participants standing with varying head positions and visual conditions.
  • RQA quantifies deterministic structure and nonstationarity in time-series data.

Related Experiment Videos

  • Experimental conditions included eyes open/closed and head forward/sideways.

    • Main Results:

    • Vision significantly altered the deterministic structure (degree and complexity) of COP motions.
    • Head orientation influenced COP nonstationarity, linked to optical flow patterns.
    • RQA demonstrated sensitivity to subtle changes in postural control dynamics.

    Conclusions:

    • RQA is a powerful tool for analyzing complex COP signals.
    • Visual input and head orientation are key modulators of postural control.
    • Findings highlight the interplay between sensory information and balance mechanisms.