Dynamic time warping based connectivity classification of event-related potentials

Basit Öğe Kaydı
dc.contributor.authorAl-rubaye, Kadhum Kareem
dc.contributor.authorBayat, Oğuz
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorDuru, Dilek Goksel
dc.contributor.authorDuru, Adil Deniz
dc.date.accessioned2021-05-15T12:41:18Z
dc.date.available2021-05-15T12:41:18Z
dc.date.issued2019
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionMedical Technologies Congress (TIPTEKNO) -- OCT 03-05, 2019 -- Izmir, TURKEY
dc.descriptionDuru, Adil Deniz/0000-0003-3014-9626
dc.description.abstractHuman brain electrical responses measured as Electroencephalogram epochs have different characteristics by means of amplitude and frequency content depending on the conditions and stimuli. Event-related potentials are the responses given to the stimuli and can be measured using the EEG. The average of these epochs are computed to remove the background activity and helps to exhibit the response to stimuli solely. In the concept of this study, dynamic time warping based connectivity features are used to classify the single-trial ERP epochs. Color Stroop test was implemented and ERP data are collected from 10 subjects. Support vector machine and K-NN classifiers are used and accurate classification results are achieved with the use of DTW metrics.en_US
dc.description.sponsorshipBiyomedikal Klinik Muhendisligi Dernegi, Izmir Katip Celebi Univ, Biyomedikal Muhendisligi Bolumuen_US
dc.identifier.endpage520en_US
dc.identifier.isbn978-1-7281-2420-9
dc.identifier.scopus2-s2.0-85079344619
dc.identifier.scopusqualityN/A
dc.identifier.startpage517en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/781
dc.identifier.wosWOS:000516830900133
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.institutionauthorAl-rubaye, Kadhum Kareem
dc.language.isoen
dc.publisherIeeeen_US
dc.relation.ispartof2019 Medical Technologies Congress (Tiptekno)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDTWen_US
dc.subjectSVMen_US
dc.subjectKNNen_US
dc.subjectERPen_US
dc.titleDynamic time warping based connectivity classification of event-related potentials
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Bilgisayar Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu