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EEG segmentation for improving automatic CAP detection

dc.contributor.authorParrino, Liborio
dc.contributor.authorBianchi, Anna M.
dc.contributor.authorTerzano, Mario G.
dc.contributor.authorMariani, Sara
dc.contributor.authorGrassi, Andrea
dc.contributor.authorMendez, Martin O.
dc.contributor.authorMilioli, Giulia
dc.date.accessioned2022-02-18T11:13:29Z
dc.date.available2022-02-18T11:13:29Z
dc.date.issued2013
dc.identifier.citationMariani S., Grassi A., Mendez M. O. , Milioli G., Parrino L., Terzano M. G. , Bianchi A. M. , "EEG segmentation for improving automatic CAP detection", CLINICAL NEUROPHYSIOLOGY, cilt.124, sa.9, ss.1815-1823, 2013
dc.identifier.issn1388-2457
dc.identifier.othervv_1032021
dc.identifier.otherav_dfadadb0-9a16-4363-aca8-33539e55f650
dc.identifier.urihttp://hdl.handle.net/20.500.12627/180693
dc.identifier.urihttps://doi.org/10.1016/j.clinph.2013.04.005
dc.description.abstractObjective: The aim of this study is to provide an improved method for the automatic classification of the Cyclic Alternating Pattern (CAP) sleep by applying a segmentation technique to the computation of descriptors from the EEG.
dc.language.isoeng
dc.subjectHuman-Computer Interaction
dc.subjectPhysical Sciences
dc.subjectLife Sciences
dc.subjectHealth Sciences
dc.subjectNeurology (clinical)
dc.subjectKLİNİK NEUROLOJİ
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectNEUROSCIENCES
dc.subjectSinirbilim ve Davranış
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectNöroloji
dc.subjectYaşam Bilimleri
dc.subjectTemel Bilimler
dc.subjectNeurology
dc.subjectDevelopmental Neuroscience
dc.subjectCellular and Molecular Neuroscience
dc.subjectCognitive Neuroscience
dc.subjectGeneral Neuroscience
dc.subjectNeuroscience (miscellaneous)
dc.subjectSensory Systems
dc.titleEEG segmentation for improving automatic CAP detection
dc.typeMakale
dc.relation.journalCLINICAL NEUROPHYSIOLOGY
dc.contributor.departmentPolytechnic University of Milan , ,
dc.identifier.volume124
dc.identifier.issue9
dc.identifier.startpage1815
dc.identifier.endpage1823
dc.contributor.firstauthorID3381321


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