3 datasets found

The dataset used in this study is a large polysomnography (PSG) dataset containing 19578 recordings from 15322 subjects of 12 publicly available clinical studies.

ISRUC-S3 dataset contains data from a sleep stage classification system, including EEG signals.

Sleep stage classification is crucial for detecting patients' health conditions. Existing models, which mainly use Convolitional Neural Networks (CNN) for modelling Euclidean...