Detection of epileptic seizures through EEG signals using entropy features and ensemble learning

Detection of epileptic seizures through EEG signals using entropy features and ensemble learning

IntroductionEpilepsy is a disorder of the central nervous system that is often accompanied by recurrent seizures. World health organization (WHO) estimated that more than 50 million people worldwide suffer from epilepsy. Although electroencephalogram (EEG) signals contain vital physiological and pat...

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Bibliographic Details
Main Authors: Mahshid Dastgoshadeh, Zahra Rabiei
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Human Neuroscience
Subjects:
epileptic seizures
machine learning
ensemble learning
entropy features
discrete wavelet transform
ANOVA
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2022.1084061/full

Internet

https://www.frontiersin.org/articles/10.3389/fnhum.2022.1084061/full

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