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Sleep Stage Detection On Physionet Challenge 1
Metrics
Accuracy
Cohen's Kappa
Macro-F1
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||||
|---|---|---|---|---|---|
| XSleepNet (EEG, EOG, EMG) | 81.1% | 0.742 | 0.794 | XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging | |
| SleePyCo (C3-A2 only) | 80.9% | 0.737 | 0.789 | SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning |
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