Journal
PLOS ONE
Volume 11, Issue 8, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0159988
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Funding
- Agency for Innovation by Science and Technology in Flanders (IWT)
- program Financing program of the KU Leuven [PFV/10/008]
- Belgian Fund for Scientific Research - Flanders [G088314N, G0A0914N]
- Inter-university Attraction Poles Programme - Belgian Science Policy [IUAP P7/11]
- Flemish Regional Ministry of Education (Belgium) [GOA 10/019]
- Hercules Foundation [AKUL 043]
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In brain-computer interfaces (BCIs) based on steady-state visual evoked potentials (SSVEPs) the number of selectable targets is rather limited when each target has its own stimulation frequency. One way to remedy this is by combining frequency- with phase encoding. We introduce a new multivariate spatiotemporal filter, based on Linearly Constrained Minimum Variance (LCMV) beamforming, for discriminating between frequency-phase encoded targets more accurately, even when using short signal lengths than with (extended) Canonical Correlation Analysis (CCA), which is traditionally posited for this stimulation paradigm.
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