An automated deep learning enabled brain signal classification for epileptic seizure detection on complex measurement systems

Recent advancements in machine learning and deep learning models find them helpful in designing effective complex measurement systems. At the same time, examining the brain’s activities using Electroencephalography (EEG) is essential to determine the mental state or thought of a person. It is essent...

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Autores:

Escorcia-Gutierrez, Jose
BELEÑO SAENZ, KELVIN
Jiménez-Cabas, Javier
Elhoseny, Mohamed
Alshehri, Dr. Mohammad Dahman
Selim, Mahmoud M.

Tipo de recurso:

Article of journal

Fecha de publicación:

2022

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/9144

Acceso en línea:

https://hdl.handle.net/11323/9144
https://doi.org/10.1016/j.measurement.2022.111226
https://repositorio.cuc.edu.co/

Palabra clave:

Brain signals
Classification
Complex measurement
Deep learning
Epileptic seizure
EEG signals

Rights

embargoedAccess

License

Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)