Paper Info
Title
Spatial fusion of maximum signal fraction analysis for frequency recognition in SSVEP-based BCI.
Abstract
•A SSVEP frequency recognition method, namely FoMSFA, is proposed for reliable target identification in short time windows.•FoMSFA utilizes both spatial and frequency dimension fusion strategy to effectively use the information of all spatial filters by MSFA in all sub-bands.•Validations on public and our laboratory dataset indicate the promising potential of FoMSFA to implement a high-performance SSVEP-based BCI system.
Year
DOI
Venue
2020
10.1016/j.bspc.2020.102042
Biomedical Signal Processing and Control
Keywords
DocType
Volume
Brain-computer interface (BCI),Electroencephalogram (EEG),Steady-state visual evoked potential (SSVEP),Maximum signal fraction analysis (MSFA),Spatial dimension fusion
Journal
61
ISSN
Citations 
PageRank 
1746-8094
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Zhenhua Li100.34
Ke Liu22016.97
Xin Deng301.01
Guoyin Wang42144202.16