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Mathematical Problems in Engineering
Volume 2016, Article ID 1435321, 12 pages
http://dx.doi.org/10.1155/2016/1435321
Research Article

User Adapted Motor-Imaginary Brain-Computer Interface by means of EEG Channel Selection Based on Estimation of Distributed Algorithms

1Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, Computer Science Faculty, 20018 Donostia-San Sebastian, Spain
2Department of Computer Architecture and Technology, University of the Basque Country UPV/EHU, Computer Science Faculty, 20018 Donostia-San Sebastian, Spain

Received 4 June 2014; Accepted 19 November 2014

Academic Editor: Yudong Zhang

Copyright © 2016 Aitzol Astigarraga 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.

  • Barjinder Kaur, Dinesh Singh, and Partha Pratim Roy, “A Novel framework of EEG-based user identification by analyzing music-listening behavior,” Multimedia Tools and Applications, 2016. View at Publisher · View at Google Scholar
  • Alireza Ghaemi, Esmat Rashedi, Ali Mohammad Pourrahimi, Mehdi Kamandar, and Farhad Rahdari, “Automatic channel selection in EEG signals for classification of left or right hand movement in Brain Computer Interfaces using improved binary gravitation search algorithm,” Biomedical Signal Processing and Control, vol. 33, pp. 109–118, 2017. View at Publisher · View at Google Scholar