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Updated: Jul 10, 2026
14:52
Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
Published on: December 11, 2013
Combined sagittal and coronal plane postural stability model.
K D Bustamante Valles1, J M Schneider, J T Long
1Orthopaedic and Rehabilitation Engineering Center, Milwaukee, WI, USA.
Summary
This study models body sway using an inverted pendulum, incorporating subtalar movement to analyze both anterior-posterior and medial-lateral body motion. Findings help refine posture control models by simulating sway dynamics.
Area of Science:
- Biomechanics
- Human Posture Control
- Robotics
Background:
- Postural control is crucial for stability, involving complex feedback mechanisms.
- Previous models often simplify body dynamics, limiting analysis of multi-directional sway.
- Understanding medial-lateral (ML) sway requires detailed modeling of foot and ankle contributions.
Purpose of the Study:
- To extend a sagittal plane posture model to include medial-lateral (ML) body sway.
- To investigate parameters influencing ML sway within an inverted pendulum framework.
- To compare experimental center of pressure (COP) data with model simulations for both anterior-posterior (AP) and ML sway.
Main Methods:
- Utilized a classic inverted pendulum model with subtalar joint movement.
- Adapted a feedback control posture model for sagittal plane analysis.
- Collected center of pressure (COP) data from 8 healthy adults using a dual AMTI force plate system.
- Calculated 14 distinct sway metrics from the experimental data.
Main Results:
- Successfully modeled ML sway components by adjusting model parameters.
- Compared experimental COP data with simulations, achieving good agreement for both AP and ML sway.
- Demonstrated the feasibility of reproducing combined AP and ML sway dynamics through parameter variation.
Conclusions:
- The extended inverted pendulum model can effectively simulate combined anterior-posterior (AP) and medial-lateral (ML) body sway.
- Subtalar movement is a key parameter for accurately modeling ML sway.
- This approach provides a foundation for more comprehensive postural control research.
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