OpenSim

OpenSim models musculoskeletal dynamics to estimate lower back internal kinetic demands during gait by integrating electromyography optimization (EMGopt) to predict lumbar vertebral joint forces and muscle activations.

Key Features:

• Participant-Specific Modeling: Enables construction of individualized musculoskeletal models for accurate estimation of lower back kinetics during gait.
• EMG Optimization Approach (EMGopt): Integrates EMGopt to optimize muscle activation patterns using recorded EMG data, improving fidelity relative to static optimization.
• Comparative Analysis: Compares model-predicted lumbar vertebral joint forces against static optimization results and values reported in the literature.
• Sensitivity Evaluation: Evaluates sensitivity of predicted muscle activations to day-to-day variability in EMG recordings.

Scientific Applications:

• Injury Risk Assessment: Estimates joint loads and muscle activations to assess lower back injury risk during gait.
• Biomechanical Research: Analyzes how tasks such as walking and carrying influence lower back kinetics.
• Rehabilitation and Prosthetics Design: Supports development of personalized rehabilitation protocols and prosthetic designs via participant-specific musculoskeletal dynamics.

Methodology:

Kinematic, external kinetic, and EMG data from gait tasks are recorded and used to develop and validate musculoskeletal models in OpenSim; the EMGopt approach is applied to optimize muscle activation patterns, and predicted lumbar vertebral joint forces are compared to static optimization results and literature.