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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 731046, 9 pages
http://dx.doi.org/10.1155/2014/731046
Research Article

Preprocessing by a Bayesian Single-Trial Event-Related Potential Estimation Technique Allows Feasibility of an Assistive Single-Channel P300-Based Brain-Computer Interface

1Department of Information Engineering, University of Padova, Via Gradenigo 6/B, 35131 Padova, Italy
2I.R.C.C.S. San Camillo Hospital Foundation, Via Alberoni 70, 30126 Venice, Italy

Received 17 April 2014; Revised 18 June 2014; Accepted 18 June 2014; Published 7 July 2014

Academic Editor: Fabio Babiloni

Copyright © 2014 Anahita Goljahani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • S. Silvoni, L. Konicar, M.A. Prats-Sedano, E. Garcia-Cossio, C. Genna, C. Volpato, M. Cavinato, A. Paggiaro, S. Veser, D. De Massari, and N. Birbaumer, “Tactile event-related potentials in amyotrophic lateral sclerosis (ALS): Implications for brain-computer interface,” Clinical Neurophysiology, 2015. View at Publisher · View at Google Scholar
  • Ju-Chi Liu, Hung-Chyun Chou, Chien-Hsiu Chen, Yi-Tseng Lin, and Chung-Hsien Kuo, “Time-Shift Correlation Algorithm for P300 Event Related Potential Brain-Computer Interface Implementation,” Computational Intelligence and Neuroscience, vol. 2016, pp. 1–22, 2016. View at Publisher · View at Google Scholar