ICRA 2017poster107 citations
Maestro: An EMG-driven assistive hand exoskeleton for spinal cord injury patients
Youngmok Yun, Sarah Dancausse, Paria Esmatloo, Alfredo Serrato, Curtis A. Merring, Priyanshu Agarwal, Ashish D. Deshpande
Abstract
In this paper, we present an electromyography (EMG)-driven assistive hand exoskeleton for spinal-cord-injury (SCI) patients. We developed an active assistive orthosis, called Maestro, which is light, comfortable, compliant, and capable of providing various hand poses. The EMG signals are obtained from a subject's forearm, post-processed, and classified for operating Maestro. The performance of Maestro is evaluated by a standardized hand function test, called the Sollerman hand function test. The experimental results show that Maestro improved the hand function of the SCI patients.
BibTeX
@inproceedings{icra2017_maestroanemgdriv,
title = {Maestro: An EMG-driven assistive hand exoskeleton for spinal cord injury patients},
author = {Youngmok Yun and Sarah Dancausse and Paria Esmatloo and Alfredo Serrato and Curtis A. Merring and Priyanshu Agarwal and Ashish D. Deshpande},
booktitle = {ICRA 2017},
year = {2017}
}