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May 10, 2011Journal of Neural Engineering231 citations

SSVEP-based Bremen–BCI interface—boosting information transfer rates

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IVIvan Volosyak

Key Points

  • The primary aim is to evaluate the effectiveness of the SSVEP-based Bremen BCI system in enhancing information transfer rates.
  • Implemented signal processing techniques in an online experiment
  • Measured information transfer rates among subjects using the BCI system
  • Compared peak ITR with previously published BCI literature
  • Achieved a peak information transfer rate of 124 bit min(-1) in one subject
  • Surpassed all previously published ITR values for BCI paradigms
  • Demonstrated the SSVEP-based Bremen BCI's potential for efficient communication

Abstract

In recent years, there has been increased interest in using steady-state visual evoked potentials (SSVEP) in brain-computer interface (BCI) systems; the SSVEP approach currently provides the fastest and most reliable communication paradigm for the implementation of a non-invasive BCI. This paper presents recent developments in the signal processing of the SSVEP-based Bremen BCI system, which allowed one of the subjects in an online experiment to reach a peak information transfer rate (ITR) of 124 bit min(-1). It is worth mentioning that this ITR value is higher than all values previously published in the literature for any kind of BCI paradigm.

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Ivan Volosyak (2011) studied this question.

synapsesocial.com/papers/6a20dcf81e73f094422a9c4chttps://doi.org/10.1088/1741-2560/8/3/036020
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