BCI Report Research preview40-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 · pmc.ncbi.nlm.nih.gov · doi.org · bci.med.tsinghua.edu.cn
Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Standard 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 | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 10.8%9.5%–12.2% | 70 |
| CBraMod | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 33.7%29.8%–37.6% | 70 |
| EEGNet | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 55.8%50.1%–61.3% | 70 |
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Standard 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 | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 12.9%11.2%–14.6% | 70 |
| CBraMod | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 27.6%24.1%–31.3% | 70 |
| EEGNet | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 44.1%38.6%–49.6% | 70 |
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 ↗ · Dataset record ↗
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.