Classification of EEG Records for the Cursor Movement with the Convolutional Neural Network
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Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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%.
Açıklama
Innovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 04-06, 2018 -- Adana, TURKEY
Anahtar Kelimeler
Convolutional Neural Network, Eeg, Wavelet Transform
Kaynak
2018 Innovations in Intelligent Systems and Applications Conference (Asyu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
