Sleep Stage Detection On Mass Ss2
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Multitask 1-max CNN | 78.6% | Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification | |
| IITNet (F4-EOG [Left] only) | 84.5% | Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG |
0 of 2 row(s) selected.