John O. Onyima

A Controlled Evaluation of Class Imbalance Handling Techniques in Automated EEG-Based Sleep Stage Classification

Automated sleep stage classification from electroencephalogram (EEG) signals is a central task in sleep medicine, yet polysomnographic datasets are inherently imbalanced, with the transitional stage N1 typically comprising only a small fraction of epochs. Although class imbalance handling is widely applied, its indepen...