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Experimental Methods to Study Human Postural Control
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Study on the Difference of Human Body Balance Stability Regulation Characteristics by Time-Frequency and Time-Domain

Xinze Cui1, Baosen Fu2, Siqi Liu1

  • 1Department of Kinesiology, Shenyang Sport University, Shenyang 110115, China.

International Journal of Environmental Research and Public Health
|November 11, 2022
PubMed
Summary

Freestyle skiing aerials athletes exhibit superior postural control and adaptive abilities compared to graduate students. Wavelet transform (WT) effectively analyzes balance control, revealing athletes

Keywords:
balance control abilityoverall stability indexwavelet transform

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Area of Science:

  • Biomechanics
  • Sports Science
  • Human Movement Analysis

Background:

  • Standing balance control is crucial for athletic performance and daily activities.
  • Assessing postural control requires effective analytical methods to differentiate skill levels.
  • Freestyle skiing aerials demand exceptional balance and rapid postural adjustments.

Purpose of the Study:

  • To compare standing balance control between elite freestyle skiing aerials athletes and ordinary graduate students.
  • To investigate the effectiveness of wavelet transform (WT) and overall stability index (OSI) in assessing postural control.
  • To identify specific characteristics of postural control in elite athletes versus non-athletes.

Main Methods:

  • 16 subjects (8 elite aerial skiers, 8 graduate students) participated.
  • Center of Pressure (COP) displacement in anteroposterior (AP) and mediolateral (ML) directions were recorded.
  • Wavelet transform (WT) and overall stability index (OSI) were calculated and compared.

Main Results:

  • Wavelet transform (WT) values differed significantly between groups, with higher values in graduate students (p < 0.01).
  • Athletes showed distinct WT value distribution in AP and ML directions compared to controls.
  • Overall stability index (OSI) in the AP direction was higher for athletes, while ML direction was lower.

Conclusions:

  • Wavelet transform (WT) is a more effective method than OSI for analyzing balance control characteristics.
  • Elite aerial skiers demonstrate superior adjustment and adaptive abilities in maintaining balance.
  • Ordinary graduate students exhibit weaker postural control and slower adaptation to imbalanced states.