Sleep Stage Detection on ISRUC-Sleep
Accuracy
- 2019-10-14 — SLEEPER-DT: Accuracy 78.5
| Rank | Model | Accuracy | AUROC | Kappa | Macro-F1 | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|
| 1 | SLEEPER-DT | 78.5 | 84.7 | 0.72 | – | SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules | 2019 | |
| 2 | NeuroNet (C4-A1 only) | 77.05% | – | – | 0.734 | NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | dlcjfgmlnasa/NeuroNet | 2024 |
| 3 | SLEEPER-DT | 78.5 | 84.7 | 0.72 | – | SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules | 2019 | |
| 4 | NeuroNet (C4-A1 only) | 77.05% | – | – | 0.734 | NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | dlcjfgmlnasa/NeuroNet | 2024 |