[Synergic analysis and dynamics pattern of human normal gait during swing phase]

Area of Science:

• Biomechanics
• Human movement analysis
• Musculoskeletal modeling

Context:

• Understanding normal gait mechanics is essential for diagnosing and treating mobility impairments.
• Previous models often simplified muscle dynamics, limiting their predictive capabilities.
• Accurate simulation of the human lower extremity is key to advancing rehabilitation and assistive technologies.

Purpose:

• To develop and validate a comprehensive dynamics model of the human lower extremity.
• To numerically analyze normal gait during the swing phase using optimal control theory.
• To investigate the muscle activation patterns and synergistic muscle actions during gait.

Summary:

• A novel dynamics model integrating musculotendon and muscle excitation-contraction dynamics was developed.
• Numerical analysis of normal gait swing phase revealed a distinct tri-phasic muscle activation pattern.
• The model's accuracy was confirmed through experimental kinematics, muscle activation, and electromyographic data.

Impact:

• Provides a validated computational tool for studying human locomotion.
• Offers new insights into the neuromuscular control strategies governing normal gait.
• Potential applications in designing advanced prosthetics, orthotics, and personalized physical therapy regimens.