Kun-Ding Hung

An Interpretable Deep Learning Framework for EEG-Based Seizure Classification Using the Bonn

This study investigates electroencephalography (EEG)-based seizure classification using the Bonn EEG dataset. A binary classification task was formed by grouping the Z and O subsets as the non-seizure class and the S subset as the seizure class. To improve reproducibility and reduce the dependence of the results on a s...