Automatic Sleep Stage Classification 벤치마크
Automatic Sleep Stage Classification on Sleep-EDF
Accuracy
- 2021-04-28 — multi-head attention: Accuracy 84.4
| Rank | Model | Accuracy | Cohen’s Kappa score | Number of parameters (M) | Paper | Code | Year |
|---|---|---|---|---|---|---|---|
| 1 | multi-head attention | 84.4 | – | – | An Attention-Based Deep Learning Approach for Sleep Stage Classification With Single-Channel EEG | emadeldeen24/AttnSleep | 2021 |
| 2 | Sequence Cross-Modal Transformer-15 | 84.3 | 0.785 | 4.05 | Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers | jathurshan0330/cross-modal-transformer | 2022 |
| 3 | TS-TCC | 83.0 | – | – | Time-Series Representation Learning via Temporal and Contextual Contrasting | emadeldeen24/TS-TCC · etna-team/etna | 2021 |
| 4 | Epoch Cross-Modal Transformer | 80.8 | 0.736 | 0.32 | Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers | jathurshan0330/cross-modal-transformer | 2022 |