Automated Recognition of Epileptic EEG States Using a Combination of Symlet Wavelet Processing, Gradient Boosting Machine, and Grid Search Optimizer

Automatic recognition methods for non-stationary electroencephalogram (EEG) data collected from EEG sensors play an essential role in neurological detection. The integrated approaches proposed in this study consist of Symlet wavelet processing, a gradient boosting machine, and a grid search optimize...

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Detalles Bibliográficos
Autores principales: Wang, Xiashuang, Gong, Guanghong, Li, Ni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359608/
https://www.ncbi.nlm.nih.gov/pubmed/30634406
http://dx.doi.org/10.3390/s19020219

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359608/
https://www.ncbi.nlm.nih.gov/pubmed/30634406
http://dx.doi.org/10.3390/s19020219

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