Sleep Stage Detection on MASS SS2
Accuracy
- 2018-05-16 — Multitask 1-max CNN: Accuracy 78.6
- 2019-02-18 — IITNet (F4-EOG [Left] only): Accuracy 84.5
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | 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 | gist-ailab/IITNet-official · SandraPrestel/deep-sleep-transfer | 2019 |
| 2 | Multitask 1-max CNN | 78.6% | Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification | pquochuy/MultitaskSleepNet | 2018 |
| 3 | 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 | gist-ailab/IITNet-official · SandraPrestel/deep-sleep-transfer | 2019 |
| 4 | Multitask 1-max CNN | 78.6% | Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification | pquochuy/MultitaskSleepNet | 2018 |