Myoelectric Control of Prosthetic Devices for Rehabilitation

Khushaba, RN; Al-Jumaily, A

Myoelectric Control of Prosthetic Devices for Rehabilitation

Khushaba, RN

Al-Jumaily, A

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Publisher:: IGI Global
Publication Type:: Chapter
Citation:: Encyclopaedia of HealthCare Information Systems, 2008, First Edition, pp. 965 - 971
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Khushaba, RN https://orcid.org/0000-0001-8528-8979	en_US
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.editor	Wickramasinghe, N	en_US
dc.contributor.editor	Geisler, E	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Encyclopaedia of HealthCare Information Systems, 2008, First Edition, pp. 965 - 971	en_US
dc.identifier.isbn	978-1-59904-889-5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7839
dc.description.abstract	rapid increase in popularity in the past few years. The electromyography (EMG) signal, also referred to as the Myoelectric signal (MES), recorded at the surface of the skin, is one of the biosignals generated by the human body, representing a collection of electrical signals from the muscle fibre, acting as a physical variable of interest since it first appeared in the 1940s (Scott, 1984).	en_US
dc.publisher	IGI Global	en_US
dc.relation.ispartof	Encyclopaedia of HealthCare Information Systems	en_US
dc.title	Myoelectric Control of Prosthetic Devices for Rehabilitation	en_US
dc.type	Chapter
utslib.location	USA	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.citation.edition	First Edition	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.consider-herdc	false	en_US
pubs.edition	First Edition	en_US
pubs.place-of-publication	USA	en_US

Abstract:

rapid increase in popularity in the past few years. The electromyography (EMG) signal, also referred to as the Myoelectric signal (MES), recorded at the surface of the skin, is one of the biosignals generated by the human body, representing a collection of electrical signals from the muscle fibre, acting as a physical variable of interest since it first appeared in the 1940s (Scott, 1984).

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/7839