HyEpiSeiD: a hybrid convolutional neural network and gated recurrent unit model for epileptic seizure detection from electroencephalogram signals

Abstract Epileptic seizure (ES) detection is an active research area, that aims at patient-specific ES detection with high accuracy from electroencephalogram (EEG) signals. The early detection of seizure is crucial for timely medical intervention and prevention of further injuries of the patients. T...

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Bibliografische Detailangaben

Hauptverfasser:	Rajdeep Bhadra, Pawan Kumar Singh, Mufti Mahmud
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	SpringerOpen 2024-08-01
Schriftenreihe:	Brain Informatics
Schlagworte:	Epileptic seizure detection Electroencephalogram signals HyEpiSeiD Convolutional neural network Gated recurrent unit Epilepsy UCI dataset
Online-Zugang:	https://doi.org/10.1186/s40708-024-00234-x
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