Sleep Stage Classification on PhysioNet
51.25Balanced AccuracyMTEEG-DC
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| MTEEG-DC# Trainable Params=1.1M, Training Paradigm=Multi-task2026.04 | 51.25 | 0.4402 | 61.43 | |
| SPaRCNet# Trainable Params=0.79M, Training Paradigm=Single-task2026.04 | 50.88 | 0.4355 | 62.53 | |
| MTEEG-SP# Trainable Params=1.8M, Training Paradigm=Multi-task2026.04 | 50.87 | 0.4376 | 61.17 | |
| LaBraM# Trainable Params=5.8M, Training Paradigm=Single-task, Finetuning Strategy=Full2026.04 | 50.72 | 0.4303 | 61.1 | |
| LaBraM# Trainable Params=0.3M, Training Paradigm=Single-task, Finetuning Strategy=LoRA2026.04 | 50.22 | 0.4289 | 60.86 | |
| HPS# Trainable Params=6.0M, Training Paradigm=Multi-task2026.04 | 45.71 | 0.3677 | 56.79 | |
| MTEEG-RT# Trainable Params=1.8M, Training Paradigm=Multi-task2026.04 | 45.67 | 0.3654 | 56.6 | |
| ST-Transformer# Trainable Params=3.5M, Training Paradigm=Single-task2026.04 | 44.4 | 0.3301 | 54.33 | |
| CNN-Transformer# Trainable Params=3.2M, Training Paradigm=Single-task2026.04 | 39.67 | 0.2986 | 53.24 | |
| FFCL# Trainable Params=2.4M, Training Paradigm=Single-task2026.04 | 38.68 | 0.2532 | 52.02 | |
| ContraWR# Trainable Params=1.6M, Training Paradigm=Single-task2026.04 | 38.55 | 0.2673 | 48.88 | |
| BIOT# Trainable Params=3.2M, Training Paradigm=Single-task2026.04 | 33.46 | 0.1642 | 32.62 |