Automatic validation and quality based readjustment of manually scored EEG arousal

dc.contributor.authorLerch, Dennis
dc.contributor.authorPenzel, Thomas
dc.contributor.authorOrglmeister, Reinhold
dc.date.accessioned2017-11-28T13:26:29Z
dc.date.available2017-11-28T13:26:29Z
dc.date.issued2013
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.en
dc.description.abstractA knowledge of arousals during sleep is important to attain a deeper understanding regarding cardiovascular diseases. Manual scoring is time consuming and not always accurate. Automatic approaches are even worse inter alia due to inaccurate learning data. This paper presents an algorithm to improve the accuracy of manually scored data. Also a measure of quality is introduced to judge the automatically estimated results.en
dc.description.sponsorshipEC/FP6/018474-2/EU/Dynamic analysis of physiological Networks/Daphneten
dc.identifier.eissn0013-5585
dc.identifier.issn1862-278X
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7209
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6484
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc610 Medizin und Gesundheit
dc.subject.otherarousal detectionen
dc.subject.othervalidationen
dc.subject.otherquality estimationen
dc.titleAutomatic validation and quality based readjustment of manually scored EEG arousalen
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.doi10.1515/bmt-2013-4164
dcterms.bibliographicCitation.issueSuppl. 1
dcterms.bibliographicCitation.journaltitleBiomedical engineering = Biomedizinische Technik
dcterms.bibliographicCitation.originalpublishernameDe Gruyter
dcterms.bibliographicCitation.originalpublisherplaceBerlin [u.a.]
dcterms.bibliographicCitation.volume58
tub.accessrights.dnbdomain
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Energie- und Automatisierungstechnik::FG Elektronik und medizinische Signalverarbeitungde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Elektronik und medizinische Signalverarbeitungde
tub.affiliation.instituteInst. Energie- und Automatisierungstechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlin

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