Improved myoelectric pattern recognition of finger movement using rejection-based extreme learning machine

Anam, K Al-Jumaily, A

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Publisher:: Universitas Ahmad Dahlan
Publication Type:: Journal Article
Citation:: TELKOMNIKA (Telecommunication Computing Electronics and Control), 2021, 19, (1), pp. 134-145
Issue Date:: 2021-02-01

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Field	Value	Language
dc.contributor.author	Anam, K
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463
dc.date.accessioned	2022-04-27T08:06:28Z
dc.date.available	2022-04-27T08:06:28Z
dc.date.issued	2021-02-01
dc.identifier.citation	TELKOMNIKA (Telecommunication Computing Electronics and Control), 2021, 19, (1), pp. 134-145
dc.identifier.issn	1693-6930
dc.identifier.issn	2302-9293
dc.identifier.uri	http://hdl.handle.net/10453/156670
dc.language	en
dc.publisher	Universitas Ahmad Dahlan
dc.relation.ispartof	TELKOMNIKA (Telecommunication Computing Electronics and Control)
dc.relation.isbasedon	10.12928/telkomnika.v19i1.16566
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Improved myoelectric pattern recognition of finger movement using rejection-based extreme learning machine
dc.type	Journal Article
utslib.citation.volume	19
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/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-04-27T08:06:26Z
pubs.issue	1
pubs.publication-status	Published online
pubs.volume	19
utslib.citation.issue	1

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