Cargando…
Epileptic seizure detection from EEG signals using logistic model trees
Reliable analysis of electroencephalogram (EEG) signals is crucial that could lead the way to correct diagnostic and therapeutic methods for the treatment of patients with neurological abnormalities, especially epilepsy. This paper presents a novel analysis system for detecting epileptic seizure fro...
Autores principales: | Kabir, Enamul, Siuly, Zhang, Yanchun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883168/ https://www.ncbi.nlm.nih.gov/pubmed/27747604 http://dx.doi.org/10.1007/s40708-015-0030-2 |
Ejemplares similares
-
Exploring Douglas-Peucker Algorithm in the Detection of Epileptic Seizure from Multicategory EEG Signals
por: Zarei, Roozbeh, et al.
Publicado: (2019) -
Exploring Sampling in the Detection of Multicategory EEG Signals
por: Siuly, Siuly, et al.
Publicado: (2015) -
Epileptic Disorder Detection of Seizures Using EEG Signals
por: Alharthi, Mariam K., et al.
Publicado: (2022) -
Epileptic Seizure Detection Based on EEG Signals and CNN
por: Zhou, Mengni, et al.
Publicado: (2018) -
Epileptic seizure detection using EEG signals and extreme gradient boosting
por: Vanabelle, Paul, et al.
Publicado: (2020)