Supervised Machine Learning and Deep Learning Techniques for Epileptic Seizure Recognition Using EEG Signals—A Systematic Literature Review

Electroencephalography (EEG) is a complicated, non-stationary signal that requires extensive preprocessing and feature extraction approaches to be accurately analyzed. In recent times, Deep learning (DL) has shown great promise in exploiting the characteristics of EEG signals as it can learn relevan...

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Detalles Bibliográficos
Autores principales: Nafea, Mohamed Sami, Ismail, Zool Hilmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774931/
https://www.ncbi.nlm.nih.gov/pubmed/36550987
http://dx.doi.org/10.3390/bioengineering9120781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9774931/
https://www.ncbi.nlm.nih.gov/pubmed/36550987
http://dx.doi.org/10.3390/bioengineering9120781

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