Unknown

Dataset Information

Model-Based Dynamic Control Allocation in a Hybrid Neuroprosthesis.


ABSTRACT: A hybrid neuroprosthesis that combines human muscle power, elicited through functional electrical stimulation (FES), with a powered orthosis may be advantageous over a sole FES or a powered exoskeleton-based rehabilitation system. The hybrid system can conceivably overcome torque reduction due to FES-induced muscle fatigue by complementarily using torque from the powered exoskeleton. The second advantage of the hybrid system is that the use of human muscle power can supplement the powered exoskeleton's power (motor torque) requirements; thus, potentially reducing the size and weight of a walking restoration system. To realize these advantages, however, it is unknown how to concurrently optimize desired control performance and allocation of control inputs between FES and electric motor. In

SUBMITTER: Kirsch NA 

PROVIDER: S-EPMC5970544 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature