Automatic Sleep Stage Classification On Sleep 1
Metrics
Accuracy
Cohen’s Kappa score
Number of parameters (M)
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Cohen’s Kappa score | Number of parameters (M) | Paper Title | Repository |
|---|---|---|---|---|---|
| Epoch Cross-Modal Transformer | 80.8 | 0.736 | 0.32 | Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers | |
| multi-head attention | 84.4 | - | - | An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG | |
| TS-TCC | 83.0 | - | - | Time-Series Representation Learning via Temporal and Contextual Contrasting | |
| Sequence Cross-Modal Transformer-15 | 84.3 | 0.785 | 4.05 | Towards Interpretable Sleep Stage Classification Using Cross-Modal Transformers |
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