DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG
The present study proposes a deep learning model, named DeepSleepNet, for automatic sleep stage scoring based on raw single-channel EEG. Most of the existing methods rely on hand-engineered features which require prior knowledge of sleep analysis. Only a few of them encode the temporal information such as transition rules, which …