Sleep Stage Detection On Isruc Sleep Single
Metrics
Accuracy
Macro-F1
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Macro-F1 | Paper Title | Repository |
|---|---|---|---|---|
| NeuroNet (C4-A1 only) | 77.05% | 0.734 | NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG | - |
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