# Sleep Staging on Sleep-EDF-ST EEG-EOG-EMG

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

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

Data updated: 2026-02-26T05:27:41.751Z

Evaluation of sleep stage classification performance using the Sleep-EDF-ST EEG-EOG-EMG 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-ST EEG-EOG-EMG |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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-st-eeg-eog-emg.md?metric=Accuracy>): Higher is better; unit: PERCENT.

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

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

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SeqSleepNet+ | 80.6 | Not recorded | 68fa68311e209131cea1aaab |
| DeepSleepNet+ | 80.2 | Not recorded | 68fa68311e209131cea1aaab |

### SeqSleepNet+

Accuracy: 80.6. Result ID: 698d61778b517eb433211194.

[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: 80.2. Result ID: 698d61778b517eb433211195.

[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.

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