BCI Report Research previewMethods
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.
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
Grouped by dataset. Compare figures within a group only: across groups the task, cohort, chance level and electrode layout all change.
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 |