Title: Patient-Specific Dynamic Modeling to Predict Functional Outcomes
The specific objective of the current work is to develop a four-phase optimization approach to identify patient-specific model parameters and utilize the calibrated model to predict functional outcome. Phase 1 identifies joint parameters describing the position and orientation of each joint within adjacent body segments. Phase 2 identifies inertial parameters defining mass, centers of mass, and moments of inertia for each body segment. Phase 3 identifies control parameters representing principal components of torque inherent in different walking movements. Phase 4 identifies motion and ground reaction parameters portraying the predicted movement. T his work comprises a computational framework to create and apply patient-specific models to predict clinically significant outcomes.