Cargando…
Epileptic seizure detection using EEG signals and extreme gradient boosting
The problem of automated seizure detection is treated using clinical electroencephalograms (EEG) and machine learning algorithms on the Temple University Hospital EEG Seizure Corpus (TUSZ). Performances on this complex data set are still not encountering expectations. The purpose of this work is to...
Autores principales: | Vanabelle, Paul, De Handschutter, Pierre, El Tahry, Riëm, Benjelloun, Mohammed, Boukhebouze, Mohamed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Department of Journal of Biomedical Research
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324276/ https://www.ncbi.nlm.nih.gov/pubmed/32561701 http://dx.doi.org/10.7555/JBR.33.20190016 |
Ejemplares similares
-
Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting
por: Wu, Jiang, et al.
Publicado: (2020) -
Epileptic Seizure Detection Based on EEG Signals and CNN
por: Zhou, Mengni, et al.
Publicado: (2018) -
Epileptic Disorder Detection of Seizures Using EEG Signals
por: Alharthi, Mariam K., et al.
Publicado: (2022) -
A Shallow Autoencoder Framework for Epileptic Seizure Detection in EEG Signals
por: Khan, Gul Hameed, et al.
Publicado: (2023) -
Epilepsy Seizures Prediction Based on Nonlinear Features of EEG Signal and Gradient Boosting Decision Tree
por: Xu, Xin, et al.
Publicado: (2022)