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

Küçük Resim Yok

Tarih

2018

Dergi Başlığı

Dergi ISSN

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Yayıncı

Institute of Electrical and Electronics Engineers Inc.

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%. © 2018 IEEE.

Açıklama

2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018 -- 4 October 2018 through 6 October 2018 -- -- 143261

Anahtar Kelimeler

Convolutional Neural Network, EEG, Wavelet Transform

Kaynak

Proceedings - 2018 Innovations in Intelligent Systems and Applications Conference, ASYU 2018

WoS Q Değeri

Scopus Q Değeri

N/A

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Sayı

Künye