Sleep Stage Detection on Sleep-EDFx
Accuracy
- 2020-07-08 — XSleepNet (EEG, EOG): Accuracy 84.0
- 2022-09-20 — SleePyCo (Fpz-Cz only): Accuracy 84.6
- 2024-04-10 — NeuroNet (Fpz-Cz only): Accuracy 85.24
| Rank | Model | Accuracy | Cohen's Kappa | Macro-F1 | Paper | Code | Year |
|---|---|---|---|---|---|---|---|
| 1 | NeuroNet (Fpz-Cz only) | 85.24% | – | 0.798 | NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | dlcjfgmlnasa/NeuroNet | 2024 |
| 2 | SleePyCo (Fpz-Cz only) | 84.6% | 0.787 | 0.790 | SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning | gist-ailab/sleepyco | 2022 |
| 3 | XSleepNet (EEG, EOG) | 84.0% | 0.778 | 0.787 | XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging | pquochuy/xsleepnet | 2020 |
| 4 | NeuroNet (Fpz-Cz only) | 85.24% | – | 0.798 | NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | dlcjfgmlnasa/NeuroNet | 2024 |
| 5 | SleePyCo (Fpz-Cz only) | 84.6% | 0.787 | 0.790 | SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning | gist-ailab/sleepyco | 2022 |
| 6 | XSleepNet (EEG, EOG) | 84.0% | 0.778 | 0.787 | XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging | pquochuy/xsleepnet | 2020 |