# EEG Alpha Waves dataset: EEG decoding results

Eyes open / eyes closed

Resting-state eyes-open/eyes-closed EEG from 20 participants, recorded with a 16-electrode headset during a 2017 pilot experiment at GIPSA-lab, Grenoble, by Cattan, Rodrigues and Congedo. Released on Zenodo in 2018 (CC BY 4.0) with a research report (hal-02086581); dataset ID ALPHA.EEG.2017-GIPSA.

**Also known as** EEG Alpha Waves dataset · ALPHA.EEG.2017-GIPSA · Rodrigues2017 · Zenodo 2605110 · hal-02086581

Description sources [zenodo.org](https://zenodo.org/records/2605110) · [hal.science](https://hal.science/hal-02086581) · [moabb.neurotechx.com](https://moabb.neurotechx.com/docs/generated/moabb.datasets.Rodrigues2017.html)

## Where it appears

- [Can fewer electrodes, or electrodes in the ear, match a full scalp montage?](https://bci.report/topics/fewer-electrodes/)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.

### Fewer electrodes · four posterior vs. all sixteen

Read with its protocol: [Fewer electrodes](https://bci.report/topics/fewer-electrodes/) · Chance level 50.0% · [evidence-update.json](https://bci.report/data/evidence-update.json)

**Balanced accuracy, 2 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Relative band-power logistic regression · Four posterior electrodes: 79.5% (72.6%–85.8%)
- Relative band-power logistic regression · All sixteen electrodes: 77.9% (70.5%–85.3%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| Relative band-power logistic regression | Four posterior electrodes | Balanced accuracy | 79.5% (72.6%–85.8%) | 19 |
| Relative band-power logistic regression | All sixteen electrodes | Balanced accuracy | 77.9% (70.5%–85.3%) | 19 |
| Relative band-power logistic regression | All sixteen minus four posterior | Paired difference | −1.6 pp (−10.0 pp–+6.8 pp) | 19 |

## Source and licence

### EEG Alpha Waves dataset

**Credit** Grégoire Cattan, Pedro L. C. Rodrigues and Marco Congedo · EEG Alpha Waves dataset, Zenodo, doi:10.5281/zenodo.2605110. Report: Grégoire Cattan, Pedro Luiz Coelho Rodrigues and Marco Congedo · EEG Alpha Waves Dataset, research report, GIPSA-lab, Grenoble, 2018, hal-02086581.

[CC-BY-4.0 ↗](https://creativecommons.org/licenses/by/4.0/) · [Dataset record ↗](https://doi.org/10.5281/zenodo.2605110)

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.

[All datasets →](https://bci.report/datasets/) · [All methods →](https://bci.report/methods/)

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Markdown copy of https://bci.report/datasets/alpha-waves/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/