Sleep Stage Detection
Human Sleep Staging into W-N1-N2-N3-REM classes from multiple or single polysomnography signals
Papers
Showing 1–10 of 34 papers
All datasetsSHHSSleep-EDFMASS SS3SHHS (single-channel)DODOSleep-EDFxSleep-EDFx (single-channel)DODHISRUC-SleepMASS (single-channel)MASS SS2Montreal Archive of Sleep Studies
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | SynthSleepNet (EEG2+EOG2+EMG1) | Accuracy | 89.89 | — | Unverified |
| 2 | CoRe-Sleep (EEG-EOG) | Accuracy | 89.5 | — | Unverified |
| 3 | SynthSleepNet (EEG1+EOG1+EMG1) | Accuracy | 89.28 | — | Unverified |
| 4 | XSleepNet2 (EEG, EOG, EMG) | Accuracy | 89.1 | — | Unverified |
| 5 | MC2SleepNet 50% Masking (C4-A1 only) | Accuracy | 88.6 | — | Unverified |
| 6 | MC2SleepNet 15% Masking (C4-A1 only) | Accuracy | 88.5 | — | Unverified |
| 7 | SynthSleepNet (EEG1+EOG1) | Accuracy | 88.31 | — | Unverified |
| 8 | CoRe-Sleep (EEG) | Accuracy | 88.2 | — | Unverified |
| 9 | SleePyCo (C4-A1 only) | Accuracy | 87.9 | — | Unverified |
| 10 | NeuroNet (C4-A1 only) | Accuracy | 86.88 | — | Unverified |