Microneurography as a tool to develop decoding algorithms for peripheral neuro-controlled hand prostheses.

ABSTRACT:

Background

The usability of dexterous hand prostheses is still hampered by the lack of natural and effective control strategies. A decoding strategy based on the processing of descending efferent neural signals recorded using peripheral neural interfaces could be a solution to such limitation. Unfortunately, this choice is still restrained by the reduced knowledge of the dynamics of human efferent signals recorded from the nerves and associated to hand movements.

Findings

To address this issue, in this work we acquired neural efferent activities from healthy subjects performing hand-related tasks using ultrasound-guided microneurography, a minimally invasive technique, which employs needles, inserted percutaneously, to record from nerve fibers. These signals allowed us to id

SUBMITTER: Petrini FM 

PROVIDER: S-EPMC6454621 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature