Frequency- and Phase Encoded SSVEP Using Spatiotemporal Beamforming

Benjamin Wittevrongel and Marc M Van Hulle

PLOS ONE, 2016, vol. 11, issue 8, 1-18

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0159988

DOI: 10.1371/journal.pone.0159988

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