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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Multiscale entropy: A tool for understanding the complexity of postural control.

Michael A Busa1, Richard E A van Emmerik1

  • 1Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003, USA.

Journal of Sport and Health Science
|October 26, 2018
PubMed
Summary

Multiscale entropy (MSE) reveals reduced physiological complexity in postural control for individuals with neurological disorders and aging. This complexity breakdown impacts balance and may guide therapeutic interventions.

Keywords:
AgingMovement disabilitiesMultiscale entropyPostural controlSensory loss

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Area of Science:

  • Physiology
  • Biomedical Engineering
  • Complexity Science

Background:

  • Clinical disorders often involve disrupted dynamical processes crucial for upright standing.
  • Altered postural center of pressure (CoP) fluctuations can result from disruptions in physiological processes across various time scales.
  • Multiscale entropy (MSE) is a technique used to analyze complexity in physiological time series.

Purpose of the Study:

  • To review entropy techniques for assessing physiological complexity.
  • To explore how MSE provides insights into the complexity of postural control systems operating at multiple time scales.
  • To synthesize evidence supporting MSE's utility in evaluating physiological breakdowns in postural control.

Main Methods:

  • Review of existing literature on entropy techniques and MSE applications in postural control.
  • Analysis of postural center of pressure (CoP) time series data using MSE.
  • Synthesis of findings from studies involving individuals with known physiological impairments.

Main Results:

  • Lower MSE values were observed in individuals with multiple sclerosis, idiopathic scoliosis, and older adults with sensory impairments.
  • These findings indicate a breakdown in physiological complexity underlying postural control in these groups.
  • MSE effectively identifies differences in CoP fluctuations related to physiological impairments.

Conclusions:

  • MSE is a valuable tool for assessing the breakdown of physiological complexity in postural control.
  • Reduced MSE values are associated with aging and various diseases affecting balance.
  • Future applications of MSE can enhance understanding of physiological deficits and inform therapeutic interventions for postural control.