Paper Publications
Release time: 2026-10-01Hits:
- Journal:JOURNAL OF NEURAL ENGINEERING
- Abstract:In this study, a novel method of phase constrained canonical correlation analysis (p-CCA) is presented for classifying steady-state visual evoked potentials (SSVEPs) using multichannel electroencephalography (EEG) signals. p-CCA is employed to improve the performance of the SSVEP-based brain–computer interface (BCI) system using standard CCA. SSVEP response phases are estimated based on the physiologically meaningful apparent latency and are added as a reliable constraint into standard CCA. The results of EEG experiments involving 10 subjects demonstrate that p-CCA consistently outperforms standard CCA in classification ccuracy. The improvement is up to 6.8% using 1–4 s data segments. The results indicate that the reliable measurement of phase information is of importance in SSVEP-based BCIs.
- Indexed by:Journal paper
- Translation or Not:no
- Date of Publication:2011-05-13
- Included Journals:SCI
- DOI number:10.1088/1741-2560/8/3/036027
- First Author:Pan, Jie
- Co-author:Gao, Xiaorong,Duan, Fang,Yan, Zheng
- Correspondence Author:Gao, Shangkai
MOBILE Version