Name
Title | ||
|---|---|---|
Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis. |
Abstract | ||
|---|---|---|
Objective: This study proposes and evaluates a novel data-driven spatial filtering approach for enhancing steady-state visual evoked potentials (SSVEPs) detection toward a high-speed brain-computer interface (BCI) speller. Methods: Task-related component analysis (TRCA), which can enhance reproducibility of SSVEPs across multiple trials, was employed to improve the signal-to-noise ratio (SNR) of S... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2694818 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Visualization,Electroencephalography,Frequency shift keying,Filtering,Monitoring,Biomedical monitoring,Calibration | Information transfer,Computer science,Canonical correlation,Brain–computer interface,Speech recognition,Component analysis,Electroencephalography | Journal |
Volume | Issue | ISSN |
65 | 1 | 0018-9294 |
Citations | PageRank | References |
19 | 1.13 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaki Nakanishi | 1 | 25 | 4.52 |
| Yijun Wang | 2 | 308 | 46.68 |
| Xiaogang Chen | 3 | 19 | 1.13 |
| Yu-Te Wang | 4 | 135 | 17.37 |
| Xiaorong Gao | 5 | 598 | 81.99 |
| Tzyy-Ping Jung | 6 | 1410 | 202.52 |