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Updated: May 24, 2025

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Key accelerometry measures for understanding walking sway during dual-task exercises.

Abdulaziz A Alkathiry1

  • 1Department of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Majmaah, Saudi Arabia.

Heliyon
|March 3, 2025
PubMed
Summary

Optimal acceleration analysis methods, including a 3.5Hz low-pass filter and mean referencing, effectively detect dual-task walking sway changes. These findings enhance clinical balance evaluations and rehabilitation monitoring.

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Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Neuroscience

Background:

  • Assessing walking sway during dual-task conditions is crucial for understanding balance control.
  • Traditional methods may not fully capture subtle changes in gait under cognitive load.
  • Acceleration analysis offers a sensitive approach to quantify dynamic postural stability.

Purpose of the Study:

  • To identify optimal acceleration analysis parameters for detecting dual-task-related changes in walking sway.
  • To compare the effectiveness of different computational methods and filtering techniques.
  • To enhance the sensitivity of gait analysis for clinical applications.

Main Methods:

  • Twenty-six healthy adults performed walking tasks under various cognitive dual-task conditions.

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Last Updated: May 24, 2025

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  • Center-of-mass (COM) acceleration was recorded using accelerometers at the lower back (anterior-posterior and mediolateral directions).
  • Data were analyzed using multiple computation methods with varying frequency cutoffs and mean referencing.

    • Main Results:

    • Dual-tasking significantly affected walking sway, particularly in the anterior-posterior and combined directions.
    • A 3.5Hz low-pass filter combined with mean referencing proved effective in capturing these dual-task effects.
    • Root mean square and normalized path length demonstrated sensitivity in detecting sway amplitude changes.

    Conclusions:

    • Both anterior-posterior and mediolateral sway components are important in dual-task walking assessments.
    • The selection of computation method, frequency cutoff, and mean referencing critically influences sensitivity.
    • A 3.5Hz low-pass filter with mean referencing can improve the detection of gait changes, aiding clinical balance assessments and rehabilitation.