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Related Experiment Video

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Experimental Methods to Study Human Postural Control
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Interpretation of postural control may change due to data processing techniques.

Christopher K Rhea1, Adam W Kiefer2, W Geoffrey Wright3

  • 1Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA.

Gait & Posture
|March 5, 2015
PubMed
Summary

Data processing methods like filtering and sampling frequency impact center of pressure (CoP) variability analysis. Careful consideration of these techniques is crucial for accurate interpretation of postural control in CoP data.

Keywords:
Center of pressureDynamicsPostureVariability

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Area of Science:

  • Biomechanics
  • Human Movement Science
  • Neuroscience

Background:

  • Postural control is typically assessed using center of pressure (CoP) variability during quiet stance.
  • Traditional analysis involves filtering CoP data, but concerns exist regarding potential adverse effects.
  • Sampling frequency may also influence CoP variability metrics when filtering is applied.

Purpose of the Study:

  • To investigate the impact of sampling frequency and filtering on CoP displacement and velocity variability metrics.
  • To differentiate between neuromotor contributions and data processing artifacts in CoP variability.

Main Methods:

  • Healthy adults (N=8) performed a 60s single-leg stance on a force plate.
  • CoP data (100Hz) were processed into six conditions: original, filtered, downsampled (50Hz, 25Hz), and downsampled then filtered.
  • Variability was quantified using standard deviation (SD), root mean square (RMS), detrended fluctuation analysis alpha (DFA α), and sample entropy (SampEn).

Main Results:

  • Data processing did not affect magnitude-based variability metrics (SD, RMS) in CoP displacement.
  • Processing significantly altered structure-based variability metrics (DFA α, SampEn) in CoP displacement.
  • All CoP velocity variability metrics were influenced by data processing techniques.

Conclusions:

  • The choice of data processing techniques significantly influences the structural analysis of CoP displacement variability.
  • All analyzed variability metrics for CoP velocity are sensitive to data processing methods.
  • Researchers must carefully consider data processing methods to accurately interpret CoP variability in postural control studies.