Neural Data-Driven Musculoskeletal Modeling for Personalized Neurorehabilitation Technologies.
Journal:
IEEE transactions on bio-medical engineering
Published Date:
May 1, 2016
Abstract
OBJECTIVES: The development of neurorehabilitation technologies requires the profound understanding of the mechanisms underlying an individual's motor ability and impairment. A major factor limiting this understanding is the difficulty of bridging between events taking place at the neurophysiologic level (i.e., motor neuron firings) with those emerging at the musculoskeletal level (i.e. joint actuation), in vivo in the intact moving human. This review presents emerging model-based methodologies for filling this gap that are promising for developing clinically viable technologies.