A structural knowledge-based proposal for the identification and characterization of apnoea episodes

dc.contributor.author	Zamarrón Sanz, Carlos
dc.date.accessioned	2017-06-07T07:17:04Z
dc.date.available	2017-06-07T07:17:04Z
dc.date.issued	2012
dc.identifier.issn	1568-4946
dc.identifier.uri	http://hdl.handle.net/20.500.11940/4709
dc.language.iso	eng
dc.title	A structural knowledge-based proposal for the identification and characterization of apnoea episodes
dc.type	Artigo	es
dc.authorsophos	Otero, A
dc.authorsophos	Félix, P
dc.authorsophos	Barro, S
dc.authorsophos	Zamarrón, C
dc.identifier.isi	296986100050
dc.identifier.sophos	7855
dc.issue.number	1
dc.journal.title	APPLIED SOFT COMPUTING
dc.organization	Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago - Complexo Hospitalario Universitario de Santiago::Neumoloxía
dc.page.initial	516
dc.page.final	526
dc.rights.accessRights	openAccess
dc.typesophos	Artículo Original
dc.volume.number	12

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