Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection

In the past few decades, measuring and recording the brain electrical activities using Electroencephalogram (EEG) has become a standout amongst the tools utilized for neurological disorders' diagnosis, especially seizure detection. In this letter, a novel epileptic seizure detection system base...

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Vydané v:	IEEE signal processing letters Ročník 26; číslo 12; s. 1922 - 1926
Hlavní autori:	Abdelhameed, Ahmed M., Bayoumi, Magdy
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Classification Convulsions & seizures cross-validation Deep learning Electroencephalography Epilepsy epileptic seizure detection Feature extraction Machine learning Neurological diseases Seizures Signal classification Training variational autoencoder
ISSN:	1070-9908, 1558-2361
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