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

Türk O.Özerdem M.S.14.07.20192019-07-1614.07.20192019-07-1620189781538677865https://dx.doi.org/10.1109/ASYU.2018.8554038https://hdl.handle.net/20.500.12514/11282018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 -- 4 October 2018 through 6 October 2018 -- -- 143261Nowadays, 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.tr10.1109/ASYU.2018.8554038info:eu-repo/semantics/closedAccessConvolutional Neural NetworkEEGWavelet TransformClassification of EEG Records for the Cursor Movement with the Convolutional Neural Network [Imleç Hareketine ilişkin EEG Kayitlarinin Evrişimsel Sinir Agi ile Siniflandirilmasi]Conference Object2-s2.0-85059975910