# BETA: EEG decoding results

40-target SSVEP

BETA (BEnchmark database Towards BCI Application) is a 40-target SSVEP dataset: 64-channel EEG from 70 participants performing a cued-spelling task on a keyboard-style virtual speller (8–15.8 Hz), four blocks each, recorded outside an electromagnetically shielded room. Released by Liu et al. (Tsinghua University) in Frontiers in Neuroscience (2020), with data on figshare.

**Also known as** BETA · BETA database · The BETA database · BETA: A Large Benchmark Database Toward SSVEP-BCI Application · Liu et al. (2020)

Description sources [figshare.com](https://figshare.com/articles/dataset/_/12264401) · [pmc.ncbi.nlm.nih.gov](https://pmc.ncbi.nlm.nih.gov/articles/PMC7324867/) · [doi.org](https://doi.org/10.3389/fnins.2020.00627) · [bci.med.tsinghua.edu.cn](https://bci.med.tsinghua.edu.cn/download.html)

## Where it appears

- [Core matrix (home page)](https://bci.report/#overview)

## 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.

### Core matrix · SSVEP, 8 channels

Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 2.5% · [experiments.json](https://bci.report/data/experiments.json)

**Balanced accuracy, 5 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Standard CCA: 63.1% (57.2%–69.0%)
- Spectral ridge: 50.7% (45.6%–55.8%)
- LaBraM: 10.8% (9.5%–12.2%)
- CBraMod: 33.7% (29.8%–37.6%)
- EEGNet: 55.8% (50.1%–61.3%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [Standard CCA](https://bci.report/methods/cca/) | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 63.1% (57.2%–69.0%) | 70 |
| Spectral ridge | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 50.7% (45.6%–55.8%) | 70 |
| [LaBraM](https://bci.report/methods/labram/) | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 10.8% (9.5%–12.2%) | 70 |
| [CBraMod](https://bci.report/methods/cbramod/) | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 33.7% (29.8%–37.6%) | 70 |
| [EEGNet](https://bci.report/methods/eegnet/) | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 55.8% (50.1%–61.3%) | 70 |

### Core matrix · SSVEP, 4 channels

Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 2.5% · [experiments.json](https://bci.report/data/experiments.json)

**Balanced accuracy, 5 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Standard CCA: 57.6% (51.8%–63.5%)
- Spectral ridge: 48.2% (43.1%–53.3%)
- LaBraM: 12.9% (11.2%–14.6%)
- CBraMod: 27.6% (24.1%–31.3%)
- EEGNet: 44.1% (38.6%–49.6%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [Standard CCA](https://bci.report/methods/cca/) | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 57.6% (51.8%–63.5%) | 70 |
| Spectral ridge | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 48.2% (43.1%–53.3%) | 70 |
| [LaBraM](https://bci.report/methods/labram/) | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 12.9% (11.2%–14.6%) | 70 |
| [CBraMod](https://bci.report/methods/cbramod/) | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 27.6% (24.1%–31.3%) | 70 |
| [EEGNet](https://bci.report/methods/eegnet/) | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 44.1% (38.6%–49.6%) | 70 |

## Source and licence

### BETA

**Credit** Bingchuan Liu et al. · BETA: A Large Benchmark Database Toward SSVEP-BCI Application (2020), doi:10.3389/fnins.2020.00627. Figshare 12264401 v3; mirror Bingchuan/BETA.

[CC BY 4.0 ↗](https://creativecommons.org/licenses/by/4.0/) · [Dataset record ↗](https://figshare.com/articles/dataset/The_BETA_database/12264401)

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/beta/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/