NeuroNet: A Novel Self-Supervised Learning Framework for Automatic Sleep Stage Classification Using Single-Channel EEG

NeuroNet, a self-supervised learning framework, effectively leverages unlabeled single-channel sleep EEG signals by integrating contrastive learning and masked prediction tasks to achieve superior performance in automatic sleep stage classification.