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

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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Bibliographic Details
Main Authors: Xiashuang Wang, Guanghong Gong, Ni Li
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
recognition of epilepsy EEG
Symlet wavelet
gradient boosting machine
grid search optimizer
multiple performance indices evaluation
Online Access:http://www.mdpi.com/1424-8220/19/2/219

Internet

http://www.mdpi.com/1424-8220/19/2/219

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