Sleep Stage Detection
Sleep Stage Detection involves the automatic identification and classification of sleep stages from polysomnography signals, including wakefulness (W), non-rapid eye movement sleep stage I (N1), non-rapid eye movement sleep stage II (N2), non-rapid eye movement sleep stage III (N3), and rapid eye movement sleep (REM). This task aims to improve the accuracy and efficiency of sleep disorder diagnosis, which is of significant application value in clinical medicine and sleep research.
SHHS
XSleepNet2 (EEG, EOG, EMG)
Sleep-EDF
IITNet CRNN (Fpz-Cz only)
MASS SS3
SPDTransNet
SHHS (single-channel)
MC2SleepNet 50% Masking (C4-A1 only)
DODO
Sleep-EDFx
SleePyCo (Fpz-Cz only)
Sleep-EDFx (single-channel)
DODH
SimpleSleepNet
ISRUC-Sleep
MASS (single-channel)
MASS SS2
IITNet (F4-EOG [Left] only)
Montreal Archive of Sleep Studies
PhysioNet Challenge 2018 (single-channel)
SleePyCo (C3-A2 only)
PhysioNet Challenge 2018
XSleepNet (EEG, EOG, EMG)
Sleep-EDF (single-channel)
ISRUC-Sleep (single-channel)
NeuroNet (C4-A1 only)