Novel automated PD detection system using aspirin pattern with EEG signals

Barua, PD Dogan, S Tuncer, T Baygin, M Acharya, UR

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Field	Value	Language
dc.contributor.author	Barua, PD
dc.contributor.author	Dogan, S
dc.contributor.author	Tuncer, T
dc.contributor.author	Baygin, M
dc.contributor.author	Acharya, UR
dc.date.accessioned	2022-02-16T05:38:02Z
dc.date.available	2022-02-16T05:38:02Z
dc.date.issued	2021-09-06
dc.identifier.citation	Computers in Biology and Medicine, 2021, 137, pp. 104841
dc.identifier.issn	0010-4825
dc.identifier.uri	http://hdl.handle.net/10453/154611
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Computers in Biology and Medicine
dc.relation.isbasedon	10.1016/j.compbiomed.2021.104841
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 09 Engineering, 11 Medical and Health Sciences
dc.subject.classification	Biomedical Engineering
dc.title	Novel automated PD detection system using aspirin pattern with EEG signals
dc.type	Journal Article
utslib.citation.volume	137
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
utslib.for	11 Medical and Health Sciences
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 Information, Systems and Modelling
utslib.copyright.status	closed_access	*
dc.date.updated	2022-02-16T05:37:11Z
pubs.publication-status	Published
pubs.volume	137

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