Optimisation of deep neural networks for identification of epileptic abnormalities from electroencephalogram signals

An electroencephalogram (EEG) measures and records the electrical activity of the brain. It provides valuable information that can be used to identify epileptic abnormalities. However, the visual identification of such abnormalities from EEG signals by expert neurologists is time consuming. Therefor...

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Detalles Bibliográficos
Autor principal: Kurdthongmee, Wattanapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7753124/
https://www.ncbi.nlm.nih.gov/pubmed/33364484
http://dx.doi.org/10.1016/j.heliyon.2020.e05694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7753124/
https://www.ncbi.nlm.nih.gov/pubmed/33364484
http://dx.doi.org/10.1016/j.heliyon.2020.e05694

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