Session: MSNDC-10-01: Nonlinear and Computational Dynamics Aspects in Biomechanics

Paper Number: 117969

117969 - Different Pathological Gaits Emerge From the Same Neuromotor Control Policy 

Predictive simulations based on neuromusculoskeletal modeling are computational approaches that allow to investigate the neuromechanics of human movement without relying on experimental data. In the present study, we generate a number of pathological gaits associated with specific musculoskeletal defects. We use a novel computational framework for predictive simulations which combines a full-body musculoskeletal model with optimal control and multi-objective optimization for synthesizing gait according to a specified control policy. Our main goal is to assess whether a pathological walking pattern can emerge from the neuromotor control policy identified for healthy subjects as a direct consequence of modeling the relevant musculoskeletal impairments.

Presenting Author: Matilde Tomasi University of Pisa

Presenting Author Biography: Matilde Tomasi is currently a post-doc research fellow in biomechanics at the Department of Information Engineering of the University of Pisa (Italy).

Authors:

Matilde Tomasi University of Pisa
Alessio Artoni University of Pisa