Epileptic seizure detection using EEG signals and extreme gradient boosting

The problem of automated seizure detection is treated using clinical electroencephalograms (EEG) and machine learning algorithms on the Temple University Hospital EEG Seizure Corpus (TUSZ). Performances on this complex data set are still not encountering expectations. The purpose of this work is to...

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Detalles Bibliográficos
Autores principales: Vanabelle, Paul, De Handschutter, Pierre, El Tahry, Riëm, Benjelloun, Mohammed, Boukhebouze, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Department of Journal of Biomedical Research 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324276/
https://www.ncbi.nlm.nih.gov/pubmed/32561701
http://dx.doi.org/10.7555/JBR.33.20190016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324276/
https://www.ncbi.nlm.nih.gov/pubmed/32561701
http://dx.doi.org/10.7555/JBR.33.20190016

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