Myoelectric control systems for hand rehabilitation device: a review

Anam, K; Rosyadi, AA; Sujanarko, B; Al-Jumaily, A

Myoelectric control systems for hand rehabilitation device: a review

Anam, K

Rosyadi, AA Sujanarko, B Al-Jumaily, A

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Publication Type:: Conference Proceeding
Citation:: International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017, 4 pp. 104 - 109
Issue Date:: 2017-09-01

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Field	Value	Language
dc.contributor.author	Anam, K https://orcid.org/0000-0003-4169-2237	en_US
dc.contributor.author	Rosyadi, AA	en_US
dc.contributor.author	Sujanarko, B	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.date.issued	2017-09-01	en_US
dc.identifier.citation	International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017, 4 pp. 104 - 109	en_US
dc.identifier.issn	2407-439X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127414
dc.description.abstract	© 2018, Institute of Advanced Engineering and Science. All rights reserved. One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation devices for different purposes. This article presents a review of MCS in the existing hand rehabilitation devices. The MCS can be grouped into main groups, the non-pattern recognition and pattern recognition ones. In term of implementation, it can be classified as MCS for prosthetic and exoskeleton hand. Main challenges for MCS today is the robustness issue that hampers the implementation of MCS on the clinical application.	en_US
dc.relation.ispartof	International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)	en_US
dc.relation.isbasedon	10.11591/eecsi.4.1054	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Myoelectric control systems for hand rehabilitation device: a review	en_US
dc.type	Conference Proceeding
utslib.citation.volume	4	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	4	en_US

Abstract:

© 2018, Institute of Advanced Engineering and Science. All rights reserved. One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation devices for different purposes. This article presents a review of MCS in the existing hand rehabilitation devices. The MCS can be grouped into main groups, the non-pattern recognition and pattern recognition ones. In term of implementation, it can be classified as MCS for prosthetic and exoskeleton hand. Main challenges for MCS today is the robustness issue that hampers the implementation of MCS on the clinical application.

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http://hdl.handle.net/10453/127414