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What is Hellinger-PSO for EEG Seizure Detection about?

This study presents a novel feature selection method for epileptic seizure detection using Hellinger distance and particle swarm optimization (PSO), which effectively reduces dimensionality and improves classification accuracy of EEG signals. The proposed Hellinger-PSO technique showed significant accuracy improvements across various classifiers, with Logistic Regression increasing from 91% to 95% and Naive Bayes from 94% to 99%. This method not only enhances diagnostic accuracy but also has potential clini

Author

Ekraam Hasan

Language

EN