A Machine Learning Framework for EEG-Based Epileptic Seizure Classification Using Time–Frequency Feature Analysis
Epilepsy affects approximately 50 million people worldwide, and timely, accurate seizure detection is essential for clinical management. Electroencephalogram (EEG) signals carry rich temporal and spectral information about brain dynamics, yet manual interpretation is time-consuming and expert-dependent. This paper pres...