Seizure detection in EEG signal using Gaussian-stockwell transform and Hermite polynomial features

Electroencephalography (EEG) is a non-intrusive and powerful tool for understanding the complex nature of the brain. Epileptic seizures, a neurological disorder, are characterized by excessively synchronized neuronal activity within the brain. This abnormal synchronization disrupts the normal functi...

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Autores principales:	G. Jaffino, J Prabin Jose, Elumalai Pv, N.R. Dhineshbabu, Chan Choon Kit, Prabhakar S
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2024-09-01
Colección:	Results in Engineering
Materias:	Electroencephalography Energy transition Epileptic seizure Gaussian-based stockwell transform (GST) Relative amplitude Random forest classifier
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2590123024009393
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