title: SSVEP-based Bremen-BCI interface--boosting information transfer rates.
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.
authors.affiliation: Institute of Automation, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany. volosyak@iat.uni-bremen.de
authors.forename: Ivan
authors.initials: I
authors.lastname: Volosyak
mesh_terms: D000465:Algorithms; D004569:Electroencephalography / Q000379:methods*; D005074:Evoked Potentials, Visual / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface; D014793:Visual Cortex / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*