Sleep Stage Detection on PhysioNet Challenge 2018 (single-channel)
Accuracy
- 2020-07-08 — XSleepNet (C3-A2 only): Accuracy 80.3
- 2022-09-20 — SleePyCo (C3-A2 only): Accuracy 80.9
| Rank | Model | Accuracy | Cohen's Kappa | Macro-F1 | Paper | Code | Year |
|---|---|---|---|---|---|---|---|
| 1 | SleePyCo (C3-A2 only) | 80.9% | 0.737 | 0.789 | SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning | gist-ailab/sleepyco | 2022 |
| 2 | XSleepNet (C3-A2 only) | 80.3% | 0.732 | 0.786 | XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging | pquochuy/xsleepnet | 2020 |
| 3 | SleePyCo (C3-A2 only) | 80.9% | 0.737 | 0.789 | SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning | gist-ailab/sleepyco | 2022 |
| 4 | XSleepNet (C3-A2 only) | 80.3% | 0.732 | 0.786 | XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging | pquochuy/xsleepnet | 2020 |