Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

Epilepsy is a common nervous system disease that is characterized by recurrent seizures. An electroencephalogram (EEG) records neural activity, and it is commonly used for the diagnosis of epilepsy. To achieve accurate detection of epileptic seizures, an automatic detection approach of epileptic sei...

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Autors principals:	Jiang Wu, Tengfei Zhou, Taiyong Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-01-01
Col·lecció:	Entropy
Matèries:	electroencephalogram (eeg) epileptic seizure detection complementary ensemble empirical mode decomposition (ceemd) feature selection extreme gradient boosting (xgboost)
Accés en línia:	https://www.mdpi.com/1099-4300/22/2/140
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