Automatic epilepsy detection using fractal dimensions segmentation and GP–SVM classification

OBJECTIVE: The most important part of signal processing for classification is feature extraction as a mapping from original input electroencephalographic (EEG) data space to new features space with the biggest class separability value. Features are not only the most important, but also the most diff...

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Detalles Bibliográficos
Autores principales: Jirka, Jakub, Prauzek, Michal, Krejcar, Ondrej, Kuca, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157576/
https://www.ncbi.nlm.nih.gov/pubmed/30275697
http://dx.doi.org/10.2147/NDT.S167841

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6157576/
https://www.ncbi.nlm.nih.gov/pubmed/30275697
http://dx.doi.org/10.2147/NDT.S167841

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