F. Ciancetta

Multichannel Polysomnographic Sensor Fusion for Automatic Sleep Stage Classification

Automatic sleep stage classification can reduce the burden of manual polysomnographic scoring, but reliable models must account for heterogeneous physiological signals, temporal dependencies, and severe class imbalance. This study presents a dual-stream deep learning framework for five-class sleep staging from 30 s pol...