Enhanced Classification Methods for the Depth of Cognitive Processing Depicted in Neural Signals

dc.contributor.authorNicolae, Irina-Emilia
dc.contributor.authorAcqualagna, Laura
dc.contributor.authorNeagu, Georgeta-Mihaela
dc.contributor.authorStrungaru, Rodica
dc.contributor.authorBlankertz, Benjamin
dc.date.accessioned2019-10-16T14:24:51Z
dc.date.available2019-10-16T14:24:51Z
dc.date.issued2018
dc.description.abstractAnalyzing brain states is a difficult problem due to high variability between subjects and trials, therefore improved techniques are requested to be developed for a better discrimination between the neural components. This paper investigates multiple enhanced classification methods for neurological feature selection and discrimination of the depth of cognitive processing. The aim is to detect the strengths and weaknesses of different classification methods and benefit from their highest performances, so that the neural information could optimally be detected. As a result, we obtained a classification rate improved by at least 5% by integrating complementary information that better describe the neural activity.en
dc.description.sponsorshipEC/FP7/611570/EU/Symbiotic Mind Computer Interaction for Information Seeking/MindSeeen
dc.description.sponsorshipBMBF, 01GQ0850, Verbundprojekt: Bernstein Fokus Neurotechnologie - Nichtinvasive Neurotechnologie für Mensch-Maschine Interaktion - Teilprojekte A1, A3, A4, B4, W3, Zentrumen
dc.identifier.eissn2286-3559
dc.identifier.issn2286-3540
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/10123
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-9112
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc610 Medizin und Gesundheitde
dc.subject.ddc004 Datenverarbeitung; Informatikde
dc.subject.otherelectroencephalographyen
dc.subject.otherEEGen
dc.subject.othersignal processingen
dc.subject.otherclassificationen
dc.subject.othercognitive processingen
dc.titleEnhanced Classification Methods for the Depth of Cognitive Processing Depicted in Neural Signalsen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.issue1en
dcterms.bibliographicCitation.journaltitleScientific Bulletin: Series C, Electrical Engineering and Computer Scienceen
dcterms.bibliographicCitation.originalpublishernameUniversity Politehnica of Bucharesten
dcterms.bibliographicCitation.originalpublisherplaceBucharesten
dcterms.bibliographicCitation.volume80en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Neurotechnologiede
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Neurotechnologiede
tub.affiliation.instituteInst. Softwaretechnik und Theoretische Informatikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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