Name
Title | ||
|---|---|---|
Multi-Objective Optimization-Based High-Pass Spatial Filtering for SSVEP-Based Brain–Computer Interfaces |
Abstract | ||
|---|---|---|
Many spatial filtering methods have been proposed to enhance the target identification performance for the steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI). The existing approaches tend to learn spatial filter parameters of a certain target using only the training data from the same stimulus, and they rarely consider the information from other stimuli or the volume... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TIM.2022.3146950 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Training,Electroencephalography,Visualization,Correlation,Feature extraction,Electrodes,Signal to noise ratio | Journal | 71 |
ISSN | Citations | PageRank |
0018-9456 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Zhang | 1 | 0 | 0.34 |
| Zhenhong Li | 2 | 0 | 0.34 |
| Sheng Quan Xie | 3 | 0 | 0.34 |
| He Wang | 4 | 42 | 6.89 |
| Zhibin Yu | 5 | 0 | 0.34 |
| Zhi-Qiang Zhang | 6 | 0 | 0.34 |