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An automated system for epilepsy detection using eeg brain signals based on deep learning approach

Ullah, Ihsan
; 
Hussain, Muhammad
; 
Qazi, Emad-ul-Haq
; 
Aboalsamh, Hatim
Identifiers
http://hdl.handle.net/10379/14233
 https://doi.org/10.13025/27451
Publication Date
2018-04-01
Keywords
electroencephalogram (eeg), epilepsy, seizure, ictal, interictal, 1d-cnn, convolutional neural-network, seizure detection, feature-extraction, classification, model, recognition, electroencephalography, identification, recordings, transform
Type
Article
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Citation
Ullah, Ihsan; Hussain, Muhammad; Qazi, Emad-ul-Haq; Aboalsamh, Hatim (2018). An automated system for epilepsy detection using eeg brain signals based on deep learning approach. Expert Systems with Applications 107 , 61-71
Abstract
Funder
Publisher
Elsevier BV
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Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland
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Externally hosted open access publications with University of Galway authors (2)