# Sleep Staging on Sleep-EDF-SC EEG-EOG

Source: [Sleep Staging on Sleep-EDF-SC EEG-EOG](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg-eog>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:27:41.726Z

Evaluation of sleep stage classification performance using the Sleep-EDF-SC EEG-EOG dataset, reporting Accuracy, Macro F1 score, and Cohen's Kappa.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Sleep Staging |
| Dataset (including any stated split) | Sleep-EDF-SC EEG-EOG |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg-eog.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Macro F1](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg-eog.md?metric=Macro%20F1>): Higher is better; unit: PERCENT.

- [Cohen's Kappa](<https://www.sota2.com/research/sota/sleep-staging-on-sleep-edf-sc-eeg-eog.md?metric=Cohen%27s%20Kappa>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SeqSleepNet+ | 85.2 | Not recorded | 68fa68311e209131cea1aaab |
| DeepSleepNet+ | 84.4 | Not recorded | 68fa68311e209131cea1aaab |
| Multitask 1-max CNN | 82.3 | Not recorded | 68fa68311e209131cea1aaab |
| SeqSleepNet+ | 82.2 | Not recorded | 68fa68311e209131cea1aaab |
| SeqSleepNet+ | 81.2 | Not recorded | 68fa68311e209131cea1aaab |
| DeepSleepNet+ | 80.8 | Not recorded | 68fa68311e209131cea1aaab |
| 1-max CNN | 79.8 | Not recorded | 68fa68311e209131cea1aaab |
| Attentional RNN | 79.1 | Not recorded | 68fa68311e209131cea1aaab |
| DeepSleepNet+ | 74.2 | Not recorded | 68fa68311e209131cea1aaab |

### SeqSleepNet+

Accuracy: 85.2. Result ID: 698d61778b517eb433211186.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Finetuning"}. This record does not assert independent reproduction.

### DeepSleepNet+

Accuracy: 84.4. Result ID: 698d61778b517eb433211187.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Finetuning"}. This record does not assert independent reproduction.

### Multitask 1-max CNN

Accuracy: 82.3. Result ID: 698d61778b517eb43321118c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65551e209131cea09c2d.md>)

[Implementation](<http://github.com/pquochuy/MultitaskSleepNet>)

Recorded evaluation configuration: {"Transfer learning":"No"}. This record does not assert independent reproduction.

### SeqSleepNet+

Accuracy: 82.2. Result ID: 698d61778b517eb43321118a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Scratch"}. This record does not assert independent reproduction.

### SeqSleepNet+

Accuracy: 81.2. Result ID: 698d61778b517eb433211188.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Direct transfer"}. This record does not assert independent reproduction.

### DeepSleepNet+

Accuracy: 80.8. Result ID: 698d61778b517eb43321118b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Scratch"}. This record does not assert independent reproduction.

### 1-max CNN

Accuracy: 79.8. Result ID: 698d61778b517eb43321118d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

Recorded evaluation configuration: {"Transfer learning":"No"}. This record does not assert independent reproduction.

### Attentional RNN

Accuracy: 79.1. Result ID: 698d61778b517eb43321118e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

Recorded evaluation configuration: {"Transfer learning":"No"}. This record does not assert independent reproduction.

### DeepSleepNet+

Accuracy: 74.2. Result ID: 698d61778b517eb433211189.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68311e209131cea1aaab.md>)

[Implementation](<http://github.com/pquochuy/sleep_transfer_learning>)

Recorded evaluation configuration: {"Transfer learning":"Direct transfer"}. This record does not assert independent reproduction.

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