ISRUC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| EEG classification | ISRUC | Kappa63.46 | 32 | |
| Sleep Staging | ISRUC (Target Domain III) | Accuracy78.02 | 20 | |
| Sleep stage classification | ISRUC S3 (test) | Accuracy79.8 | 16 | |
| Classification | ISRUC | Accuracy80.02 | 14 | |
| Sleep Staging | ISRUC (test) | Accuracy82.4 | 14 | |
| Sleep Stage Classification | ISRUC | Balanced Accuracy79.41 | 13 | |
| Sleep Stage Classification | ISRUC 5-Class (test) | Balanced Accuracy79.97 | 10 | |
| Unsupervised Continual Learning | ISRUC | Accuracy77.6 | 10 | |
| EEG classification | ISRUC_S1 5-Class | Cohen's Kappa0.7476 | 10 | |
| Multi-class classification | ISRUC S3 5-Class (test) | Cohen's Kappa0.7671 | 10 | |
| Multivariate Time Series Classification | ISRUC S3 | Accuracy85.37 | 9 | |
| Sleep Staging | ISRUC S3 (leave-one-subject-out cross-validation) | Accuracy78.53 | 9 | |
| Sleep Staging | ISRUC | Macro F174.76 | 8 | |
| Sleep Stage Classification | ISRUC (same cohort) | Sensitivity (Wake)92.4 | 8 | |
| Sleep Stage Classification | ISRUC-S3 | Accuracy82.41 | 7 | |
| Unsupervised cross-modal knowledge transfer | ISRUC EEG → ECG | Balanced Accuracy80.13 | 5 | |
| Unsupervised cross-modal knowledge transfer | ISRUC ECG → EEG | Balanced Accuracy0.6592 | 5 | |
| Cross-modal knowledge transfer | ISRUC ECG (Old) → EEG (New) (test) | BAcc65.92 | 5 | |
| Cross-modal knowledge transfer | ISRUC EEG (Old) → ECG (New) (test) | BAcc80.13 | 5 | |
| Sleep Staging | isruc-sg3 (test) | Macro F177 | 4 | |
| Sleep Staging | isruc-sg2 (test) | Macro F174 | 4 | |
| Sleep Staging | isruc-sg1 (test) | Macro F178 | 4 |
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