BCI ReportMethods
eTRCA: results on public EEG datasets
Ensemble task-related component analysis (ensemble TRCA) is an SSVEP detection method proposed by Nakanishi et al. (IEEE Transactions on Biomedical Engineering, 2018). TRCA learns spatial filters that maximize the reproducibility of time-locked responses across calibration trials; the ensemble version combines the filters learned for every stimulus frequency and correlates a filtered test trial with each class's averaged calibration template.
Measured on: Wearable SSVEP BCI dataset (dry and wet electrodes)
Also known as ensemble TRCA · ensemble task-related component analysis · TRCA · task-related component analysis · TRCA-SSVEP · Nakanishi et al. 2018
Official code ↗ · Description sources pubmed.ncbi.nlm.nih.gov · pmc.ncbi.nlm.nih.gov · doi.org · github.com · github.com
Published results
Compare figures within a group only: task, cohort, chance level and electrode layout can differ between groups. One row is above another only where their 95% intervals do not overlap.
Wearable SSVEP BCI dataset (dry and wet electrodes) · Calibration budget · eTRCA and CCA
| Method | Condition | Metric | Value | People |
|---|---|---|---|---|
| Single-band eTRCA | 24 calibration trials · dry | Balanced accuracy | 12.4%10.4%–15.0% | 102 |
| Single-band eTRCA | 24 calibration trials · wet | Balanced accuracy | 39.8%34.1%–45.8% | 102 |
| Single-band eTRCA | 48 calibration trials · dry | Balanced accuracy | 15.1%12.6%–18.2% | 102 |
| Single-band eTRCA | 48 calibration trials · wet | Balanced accuracy | 64.0%57.1%–70.7% | 102 |
Cite this page
BCI Report (2026). eTRCA: results on public EEG datasets. https://bci.report/methods/etrca/
Figures from release deployment-topics-20260920-v1 (2026-09-20). Cite the upstream datasets as well: each dataset’s page gives its credit.
Every release is archived on Zenodo: doi:10.5281/zenodo.23123296. BibTeX for the site and its releases → · CITATION.cff ↗