Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies

Abstract

Filling the gap between our understandings of movement neural and mechanical functions is central for addressing one of the major challenges in neurorehabilitation: personalizing current technologies and interventions to an individual's anatomy and impairment.