title: Preprocessing by a Bayesian single-trial event-related potential estimation technique allows feasibility of an assistive single-channel P300-based brain-computer interface.
abstract: A major clinical goal of brain-computer interfaces (BCIs) is to allow severely paralyzed patients to communicate their needs and thoughts during their everyday lives. Among others, P300-based BCIs, which resort to EEG measurements, have been successfully operated by people with severe neuromuscular disabilities. Besides reducing the number of stimuli repetitions needed to detect the P300, a current challenge in P300-based BCI research is the simplification of system's setup and maintenance by lowering the number N of recording channels. By using offline data collected in 30 subjects (21 amyotrophic lateral sclerosis patients and 9 controls) through a clinical BCI with N = 5 channels, in the present paper we show that a preprocessing approach based on a Bayesian single-trial ERP estimation technique allows reducing N to 1 without affecting the system's accuracy. The potentially great benefit for the practical usability of BCI devices (including patient acceptance) that would be given by the reduction of the number N of channels encourages further development of the present study, for example, in an online setting.
authors.affiliation: Department of Information Engineering, University of Padova, Via Gradenigo 6/B, 35131 Padova, Italy.
authors.forename: Anahita
authors.initials: A
authors.lastname: Goljahani
authors.affiliation: Department of Information Engineering, University of Padova, Via Gradenigo 6/B, 35131 Padova, Italy.
authors.forename: Costanza
authors.initials: C
authors.lastname: D'Avanzo
authors.affiliation: I.R.C.C.S. San Camillo Hospital Foundation, Via Alberoni 70, 30126 Venice, Italy.
authors.forename: Stefano
authors.initials: S
authors.lastname: Silvoni
authors.affiliation: I.R.C.C.S. San Camillo Hospital Foundation, Via Alberoni 70, 30126 Venice, Italy.
authors.forename: Paolo
authors.initials: P
authors.lastname: Tonin
authors.affiliation: I.R.C.C.S. San Camillo Hospital Foundation, Via Alberoni 70, 30126 Venice, Italy.
authors.forename: Francesco
authors.initials: F
authors.lastname: Piccione
authors.affiliation: Department of Information Engineering, University of Padova, Via Gradenigo 6/B, 35131 Padova, Italy.
authors.forename: Giovanni
authors.initials: G
authors.lastname: Sparacino
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D000690:Amyotrophic Lateral Sclerosis / Q000503:physiopathology*; D001499:Bayes Theorem; D062207:Brain-Computer Interfaces; D016022:Case-Control Studies; D018913:Event-Related Potentials, P300; D006801:Humans; D008875:Middle Aged; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software; D014584:User-Computer Interface
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