Supervised filters for EEG signal in naturally occurring epilepsy forecasting

Nearly 1% of the global population has Epilepsy. Forecasting epileptic seizures with an acceptable confidence level, could improve the disease treatment and thus the lifestyle of the people who suffer it. To do that the electroencephalogram (EEG) signal is usually studied through spectral power band...

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Detalles Bibliográficos
Autores principales: Muñoz-Almaraz, Francisco Javier, Zamora-Martínez, Francisco, Botella-Rocamora, Paloma, Pardo, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478122/
https://www.ncbi.nlm.nih.gov/pubmed/28632737
http://dx.doi.org/10.1371/journal.pone.0178808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5478122/
https://www.ncbi.nlm.nih.gov/pubmed/28632737
http://dx.doi.org/10.1371/journal.pone.0178808

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