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...

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Publicado en:	Medical & Biological Engineering & Computing Vol. 54; no. 8; pp. 1285 - 1294
Autores principales:	Bogaarts, J., Gommer, E., Hilkman, D., Kranen-Mastenbroek, V., Reulen, J., Bogaarts, J G, Gommer, E D, Hilkman, D M W, van Kranen-Mastenbroek, V H J M, Reulen, J P H
Formato:	Journal Article
Publicado:	Springer Nature Aug2016
Acceso en línea:	Ver este registro en EBSCOhost