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Classification of EEG Records for the Cursor Movement with the Convolutional Neural Network [Imleç Hareketine ilişkin EEG Kayitlarinin Evrişimsel Sinir Agi ile Siniflandirilmasi]

dc.contributor.author Türk O.
dc.contributor.author Özerdem M.S.
dc.date.accessioned 14.07.201910:50:10
dc.date.accessioned 2019-07-16T20:42:32Z
dc.date.available 14.07.201910:50:10
dc.date.available 2019-07-16T20:42:32Z
dc.date.issued 2018
dc.department [Belirlenecek] en_US
dc.department-temp Türk, O., Midyat Meslek Yüksekokulu, Mardin Artuklu Üniversitesi, Mardin, Turkey -- Özerdem, M.S., Elektrik-Elektronik Mühendisligi, Dicle Üniversitesi, Diyarbakir, Turkey en_US
dc.description 2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 -- 4 October 2018 through 6 October 2018 -- -- 143261 en_US
dc.description.abstract Nowadays, very successful results are obtained with deep learning architectures which can be applied to many fields. Because of the high performances it provides in many areas, deep learning has come to a central position in machine learning and pattern recognition. In this study, electroencephalogram (EEG) signals related to up and down cursor movements were represented as image pattern by using obtained approximation coefficients after wavelet transform. The Obtained image patterns were classified by applying Convolutional Neural Network. In this study, EEG records related to cursor movements were classified and classification accuracy was obtained as 88.13%. © 2018 IEEE. en_US
dc.identifier.doi 10.1109/ASYU.2018.8554038
dc.identifier.isbn 9781538677865
dc.identifier.scopus 2-s2.0-85059975910
dc.identifier.uri https://dx.doi.org/10.1109/ASYU.2018.8554038
dc.identifier.uri https://hdl.handle.net/20.500.12514/1128
dc.indekslendigikaynak Scopus en_US
dc.language.iso tr en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof Proceedings - 2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Convolutional Neural Network en_US
dc.subject EEG en_US
dc.subject Wavelet Transform en_US
dc.title Classification of EEG Records for the Cursor Movement with the Convolutional Neural Network [Imleç Hareketine ilişkin EEG Kayitlarinin Evrişimsel Sinir Agi ile Siniflandirilmasi] en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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