Cargando…
Improved epileptic seizure detection combining dynamic feature normalization with EEG novelty detection
Continuous electroencephalographic monitoring of critically ill patients is an established procedure in intensive care units. Seizure detection algorithms, such as support vector machines (SVM), play a prominent role in this procedure. To correct for inter-human differences in EEG characteristics, a...
Autores principales: | Bogaarts, J. G., Hilkman, D. M. W., Gommer, E. D., van Kranen-Mastenbroek, V. H. J. M., Reulen, J. P. H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104774/ https://www.ncbi.nlm.nih.gov/pubmed/27053165 http://dx.doi.org/10.1007/s11517-016-1479-8 |
Ejemplares similares
-
Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection
por: Bogaarts, J. G., et al.
Publicado: (2016) -
The Use of Continuous EEG Monitoring in Intensive Care Units in The Netherlands: A National Survey
por: Hilkman, Danny M. W., et al.
Publicado: (2018) -
Epileptic Disorder Detection of Seizures Using EEG Signals
por: Alharthi, Mariam K., et al.
Publicado: (2022) -
Detection of Epileptic Seizure Event and Onset Using EEG
por: Ahammad, Nabeel, et al.
Publicado: (2014) -
Epileptic Seizure Detection Based on EEG Signals and CNN
por: Zhou, Mengni, et al.
Publicado: (2018)