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Dataset Information

Voluntary control of wearable robotic exoskeletons by patients with paresis via neuromechanical modeling.


ABSTRACT:

Background

Research efforts in neurorehabilitation technologies have been directed towards creating robotic exoskeletons to restore motor function in impaired individuals. However, despite advances in mechatronics and bioelectrical signal processing, current robotic exoskeletons have had only modest clinical impact. A major limitation is the inability to enable exoskeleton voluntary control in neurologically impaired individuals. This hinders the possibility of optimally inducing the activity-driven neuroplastic changes that are required for recovery.

Methods

We have developed a patient-specific computational model of the human musculoskeletal system controlled via neural surrogates, i.e., electromyography-derived neural activations to muscles. The electromyography-driven mu

SUBMITTER: Durandau G 

PROVIDER: S-EPMC6637518 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature