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Assessment of the EEG complexity during activations from sleep

dc.contributor.authorChouvarda, I.
dc.contributor.authorCerutti, S.
dc.contributor.authorTerzano, M.
dc.contributor.authorGrassi, A.
dc.contributor.authorParrino, L.
dc.contributor.authorBianchi, A. M.
dc.contributor.authorMendez, M. O.
dc.contributor.authorRosso, V.
dc.date.accessioned2022-02-18T11:16:58Z
dc.date.available2022-02-18T11:16:58Z
dc.date.issued2011
dc.identifier.citationChouvarda I., Rosso V., Mendez M. O. , Bianchi A. M. , Parrino L., Grassi A., Terzano M., Cerutti S., "Assessment of the EEG complexity during activations from sleep", COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.104, sa.3, 2011
dc.identifier.issn0169-2607
dc.identifier.otherav_e58e8930-20b6-49ae-92fb-c36040670859
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/180820
dc.identifier.urihttps://doi.org/10.1016/j.cmpb.2010.11.005
dc.description.abstractThe present study quantitatively analyzes the EEG characteristics during activations (Act) that occur during NREM sleep, and constitute elements of sleep microstructure (i.e. the Cyclic Alternating Pattern). The fractal dimension (FD) and the sample entropy (SampEn) measures were used to study the different sleep stages and the Act that build up the sleep structure. Polysomnographic recordings from 10 good sleepers were analyzed. The complexity indexes of the Act were compared with the non-activation (NAct) periods during non-REM sleep. In addition, complexity measures among the different Act subtypes (A1, A2 and A3) were analyzed. A3 presented a quite similar complexity independently of the sleep stage, while A1 and A2 showed higher complexity in light sleep than during deep sleep. The current results suggest that Act present a hierarchic complexity between subtypes A3 (higher), A2 (intermediate) and A1 (lower) in all sleep stages. (C) 2010 Elsevier Ireland Ltd. All rights reserved.
dc.language.isoeng
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectGeneral Computer Science
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectComputer Science (miscellaneous)
dc.subjectBioengineering
dc.subjectComputer Science Applications
dc.subjectHealth Informatics
dc.subjectPhysical Sciences
dc.subjectHealth Sciences
dc.subjectGeneral Engineering
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectTIBBİ BİLİŞİM
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyoistatistik ve Tıp Bilişimi
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectBiyoenformatik
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectTheoretical Computer Science
dc.subjectComputers in Earth Sciences
dc.titleAssessment of the EEG complexity during activations from sleep
dc.typeMakale
dc.relation.journalCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
dc.contributor.departmentAristotle University Of Thessaloniki , ,
dc.identifier.volume104
dc.identifier.issue3
dc.contributor.firstauthorID3379250


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