Sleep Stage Detection On Isruc Sleep
Metrics
AUROC
Accuracy
Kappa
Results
Performance results of various models on this benchmark
Model Name | AUROC | Accuracy | Kappa | Paper Title | Repository |
|---|---|---|---|---|---|
| SLEEPER-DT | 84.7 | 78.5 | 0.72 | SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules | - |
| NeuroNet (C4-A1 only) | - | 77.05% | - | NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | - |
0 of 2 row(s) selected.