Sleep Stage Classification on ISRUC-S3 Multivariate Mode (Efficiency Metrics)
2,740ParametersGraphSleepNet
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GraphSleepNetyear=2020, engineered features=✓, framework=Keras2025.01 | 2,740 | 0.03 | |
| MSA-CNN (small)year=2024, engineered features=✗, framework=PyTorch2025.01 | 10,583 | 19.8 | |
| EEGNetyear=2018, engineered features=✗, framework=PyTorch2025.01 | 12,181 | 32.8 | |
| MSA-CNN (large)year=2024, engineered features=✗, framework=PyTorch2025.01 | 43,511 | 29 | |
| JK-STGCNyear=2022, engineered features=✗, framework=Keras2025.01 | 458,085 | 208.6 | |
| MSTGCNyear=2021, engineered features=✗, framework=Keras2025.01 | 476,292 | 204 | |
| FC-STGNNyear=2024, engineered features=✗, framework=PyTorch2025.01 | 3,200,000 | 475.8 | |
| cVANyear=2024, engineered features=✗, framework=Keras2025.01 | 6,834,571 | 483.4 | |
| HierCorrPoolyear=2023, engineered features=✗, framework=PyTorch2025.01 | 13,290,000 | 499 |