Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection

This paper introduces a new classifier based on the Hellinger distance to overcome the challenges encountered by standard classifiers in accurately diagnosing seizure epilepsy using electroencephalogram (EEG) signals. They mainly suffer from poor discriminative capacity and sensitivity towards datas...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Muhammed Sadiq, Mustafa Noaman Kadhim, Dhiah Al-Shammary, and Mariofanna Milanova
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Seizure epilepsy detection Hellinger distance EEG signal particle swarm optimization (PSO)
Online Access:	https://ieeexplore.ieee.org/document/10649576/