An Engineering Model of Human Balance Control-Part I: Biomechanical Model.

Area of Science:

• Biomechanics
• Human Movement Science
• Gerontology

Background:

• Assessing standing balance is crucial for understanding fall risk, particularly in aging populations.
• Existing methods may not fully capture the dynamic, multi-joint coordination required for functional tasks.

Purpose of the Study:

• To develop and validate a novel tool (balanced reach test - BRT) and a biomechanical model for assessing dynamic standing balance.
• To analyze joint coordination during a 3D reaching task and evaluate the effectiveness of balance training.

Main Methods:

• Developed the balanced reach test (BRT) for dynamic balance assessment.
• Created a 3D, 13-segment biomechanical model for performance analysis.
• Utilized kinematic and ground reaction force data with inverse dynamics and spectral analyses.

Main Results:

• The BRT and model successfully differentiated balance control between young healthy and older high fall risk subjects.
• Joints exhibited coordinated responses to different frequencies of target movement.
• Balance training significantly improved the older subject's performance, approaching that of the young subject.

Conclusions:

• The BRT and biomechanical model provide a comprehensive method for evaluating dynamic balance and coordination.
• This approach offers insights into age-related changes and training-induced adaptations in the balance control system.
• The developed framework is foundational for simulating balance across diverse populations and conditions.