Autoencoders Based Deep Learning Approach for Focal-Nonfocal EEG Classification Problem

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dc.contributor.authorSeker, Mesut
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:11:22Z
dc.date.available2024-04-24T17:11:22Z
dc.date.issued2019
dc.departmentDicle Üniversitesien_US
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 31-NOV 02, 2019 -- Izmir, TURKEYen_US
dc.description.abstractEEG markers are the records of brain electrical activity which gives meaningful notice about individuals status. Detection of neurological diseases is only possible with effective analysis of EEG records. Epilepsy is a such neurological disease that has been a serious health problem affects life quality of human being. EEG based epilepsy detection in an effective and reliable way is a crucial issue for researchers. Effective feature extraction techniques to diminish input vector is a significant point in applications. In this study, auto-encoder based unsupervised feature extraction method was used and a deep learning approach was investigated to classify focal-non-focal EEG records. Proposed work has superiority in contrast to conventional methods because dataset was classified without using pre-processing and dimensionality-reduction methods. It has been thought that this work proposes an effective approach to diagnose epilepsy by using deep neural networks.en_US
dc.description.sponsorshipYasar Univ,IEEE Turkey Sect,Yildiz Teknik Univ,Idea,Siemensen_US
dc.identifier.doi10.1109/asyu48272.2019.8946412
dc.identifier.endpage504en_US
dc.identifier.isbn978-1-7281-2868-9
dc.identifier.scopus2-s2.0-85078334220
dc.identifier.scopusqualityN/A
dc.identifier.startpage501en_US
dc.identifier.urihttps://doi.org/10.1109/asyu48272.2019.8946412
dc.identifier.urihttps://hdl.handle.net/11468/17448
dc.identifier.wosWOS:000631252400093
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 Innovations in Intelligent Systems and Applications Conference (Asyu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEpilepsyen_US
dc.subjectFocalen_US
dc.subjectNon-Focal Eegen_US
dc.subjectAutoencodersen_US
dc.subjectDeep Neural Networksen_US
dc.titleAutoencoders Based Deep Learning Approach for Focal-Nonfocal EEG Classification Problemen_US
dc.titleAutoencoders Based Deep Learning Approach for Focal-Nonfocal EEG Classification Problem
dc.typeConference Objecten_US

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