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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Veröffentlicht in:	IEEE signal processing letters Jg. 26; H. 12; S. 1922 - 1926
Hauptverfasser:	Abdelhameed, Ahmed M., Bayoumi, Magdy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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