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

Principais autores:	Xiashuang Wang, Guanghong Gong, Ni Li
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2019-01-01
Series:	Sensors
Assuntos:	recognition of epilepsy EEG Symlet wavelet gradient boosting machine grid search optimizer multiple performance indices evaluation
Acceso en liña:	http://www.mdpi.com/1424-8220/19/2/219
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