Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection

Automated seizure detection is a valuable asset to health professionals, which makes adequate treatment possible in order to minimize brain damage. Most research focuses on two separate aspects of automated seizure detection: EEG feature computation and classification methods. Little research has be...

Descripción completa

Detalles Bibliográficos
Autores principales: Bogaarts, J. G., Gommer, E. D., Hilkman, D. M. W., van Kranen-Mastenbroek, V. H. J. M., Reulen, J. P. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958398/
https://www.ncbi.nlm.nih.gov/pubmed/27032931
http://dx.doi.org/10.1007/s11517-016-1468-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958398/
https://www.ncbi.nlm.nih.gov/pubmed/27032931
http://dx.doi.org/10.1007/s11517-016-1468-y

Ejemplares similares