Frequency- and Phase Encoded SSVEP Using Spatiotemporal Beamforming.
Where this comes from
- Record sourced from PubMed, PMID 27486801.
- Also identified by DOI 10.1371/journal.pone.0159988 and PMC identifier 4972379.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- Electroencephalography
- Evoked Potentials, Visual
- Photic Stimulation
- Signal Processing, Computer-Assisted