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

dc.contributor.authorZamarrón Sanz, Carlos 
dc.date.accessioned2017-06-07T07:17:04Z
dc.date.available2017-06-07T07:17:04Z
dc.date.issued2012
dc.identifier.issn1568-4946
dc.identifier.urihttp://hdl.handle.net/20.500.11940/4709
dc.language.isoeng
dc.titleA structural knowledge-based proposal for the identification and characterization of apnoea episodes
dc.typeArtigoes
dc.authorsophosOtero, A
dc.authorsophosFélix, P
dc.authorsophosBarro, S
dc.authorsophosZamarrón, C
dc.identifier.isi296986100050
dc.identifier.sophos7855
dc.issue.number1
dc.journal.titleAPPLIED SOFT COMPUTING
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago - Complexo Hospitalario Universitario de Santiago::Neumoloxía
dc.page.initial516
dc.page.final526
dc.rights.accessRightsopenAccess
dc.typesophosArtículo Original
dc.volume.number12


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