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Single sweep analysis of event related auditory potentials for the monitoring of sedation in cardiac surgery patients

dc.contributor.authorCerutti, S
dc.contributor.authorMainardi, LT
dc.contributor.authorKupila, J
dc.contributor.authorNieminen, K
dc.contributor.authorKorhonen, I
dc.contributor.authorBianchi, AM
dc.contributor.authorPattini, L
dc.contributor.authorTakala, J
dc.contributor.authorKarhu, J
dc.date.accessioned2022-02-18T10:16:00Z
dc.date.available2022-02-18T10:16:00Z
dc.date.issued2000
dc.identifier.citationMainardi L., Kupila J., Nieminen K., Korhonen I., Bianchi A., Pattini L., Takala J., Karhu J., Cerutti S., "Single sweep analysis of event related auditory potentials for the monitoring of sedation in cardiac surgery patients", COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, cilt.63, sa.3, ss.219-227, 2000
dc.identifier.issn0169-2607
dc.identifier.othervv_1032021
dc.identifier.otherav_8b34e9cf-d2f6-4dd3-ae52-c3ade5084a44
dc.identifier.urihttp://hdl.handle.net/20.500.12627/178908
dc.identifier.urihttps://doi.org/10.1016/s0169-2607(00)00112-7
dc.description.abstractEvent-related potentials (ERPs) from the auditory system were investigated in 28 post-operative cardiac patients in order to assess their relevance in the monitoring of patient sedation level. Midazolam (17 patients) and propofol (11 patients) were the sedative agents used. The auditory ERP components of N100 (HAB100) and mismatch negativity (MMN) were considered. A single sweep method based on the AutoRegressive with eXogenous input (ARX) model, which is able to enhance the evoked responses to each, single stimulus, was used to process each sweep and to compute traditional parameters on a sweep-by-sweep basis. Differences in the measured parameters were related to variations in the patient sedation levels classified through Ramsay score. Significant differences (P < 0.05) in both MMN and HAB100 parameters were found between light sedation (LS) and deep sedation (DS) levels. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.
dc.language.isoeng
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyoistatistik ve Tıp Bilişimi
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectGeneral Engineering
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectBiyoenformatik
dc.subjectTheoretical Computer Science
dc.subjectComputers in Earth Sciences
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.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectTIBBİ BİLİŞİM
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.titleSingle sweep analysis of event related auditory potentials for the monitoring of sedation in cardiac surgery patients
dc.typeMakale
dc.relation.journalCOMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
dc.contributor.department, ,
dc.identifier.volume63
dc.identifier.issue3
dc.identifier.startpage219
dc.identifier.endpage227
dc.contributor.firstauthorID3371845


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