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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Hlavní autoři:	Jiang Wu, Tengfei Zhou, Taiyong Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2020-01-01
Edice:	Entropy
Témata:	electroencephalogram (eeg) epileptic seizure detection complementary ensemble empirical mode decomposition (ceemd) feature selection extreme gradient boosting (xgboost)
On-line přístup:	https://www.mdpi.com/1099-4300/22/2/140
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Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

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