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Area of Science:

  • Biomechanics
  • Human movement analysis
  • Postural control

Background:

  • Trunk posture is crucial for balance and coordination, often affected by musculoskeletal or neurological diseases.
  • Accurate assessment of trunk sway is vital for diagnosing and managing balance disorders.
  • Various motion capture (MoCap) systems exist, but their comparative performance in trunk sway analysis needs examination.

Purpose of the Study:

  • To investigate the relationships between three distinct trunk sway analysis methods.
  • To compare the efficacy of two fundamentally different MoCap systems for trunk sway measurement.
  • To evaluate the impact of visual input (eyes open vs. closed) on trunk sway parameters.

Main Methods:

  • Utilized a camera system and a 3DOF orientation tracker affixed to the trunk.
  • Measured trunk inclination (roll) and flexion (pitch) during quiet stance in ten healthy participants.
  • Calculated the area of the convex hull, area of the confidence ellipse, and total trajectory length from pitch-roll plots.

Main Results:

  • A strong correlation was observed between the area of the convex hull and the area of the confidence ellipse.
  • Moderate correlations were found between the ellipse area and trajectory length, and between the convex hull area and trajectory length.
  • Different MoCap systems yielded varying area and length values but consistent analytical conclusions.
  • No significant differences in sway parameters were detected between eyes-open and eyes-closed conditions.

Conclusions:

  • The analyzed MoCap systems and derived parameters demonstrate robust interrelationships for quantifying trunk sway.
  • Trunk sway assessment is reliable irrespective of visual feedback in healthy individuals.
  • These findings support the use of these methods for identifying balance and coordination deficits.