Sleep Stage Detection
Sleep Stage Detection是从多导睡眠图信号中自动识别和分类睡眠阶段，包括清醒（W）、非快速眼动睡眠I期（N1）、非快速眼动睡眠II期（N2）、非快速眼动睡眠III期（N3）和快速眼动睡眠（REM）。该任务旨在提高睡眠障碍诊断的准确性和效率，对临床医学和睡眠研究具有重要应用价值。
DODH
SimpleSleepNet
DODO
ISRUC-Sleep
ISRUC-Sleep (single-channel)
NeuroNet (C4-A1 only)
MASS (single-channel)
MASS SS2
IITNet (F4-EOG [Left] only)
MASS SS3
SPDTransNet
Montreal Archive of Sleep Studies
PhysioNet Challenge 2018
XSleepNet (EEG, EOG, EMG)
PhysioNet Challenge 2018 (single-channel)
SleePyCo (C3-A2 only)
SHHS
SynthSleepNet (EEG2+EOG2+EMG1)
SHHS (single-channel)
MC2SleepNet 50% Masking (C4-A1 only)
Sleep-EDF
IITNet CRNN (Fpz-Cz only)
Sleep-EDF (single-channel)
Sleep-EDFx
SleePyCo (Fpz-Cz only)
Sleep-EDFx (single-channel)