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Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /

6 Issues per year


IMPACT FACTOR 2017: 1.096
5-year IMPACT FACTOR: 1.492

CiteScore 2017: 0.48

SCImago Journal Rank (SJR) 2017: 0.202
Source Normalized Impact per Paper (SNIP) 2017: 0.356

Online
ISSN
1862-278X
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Volume 55, Issue 1

Issues

Volume 57 (2012)

P300 Chinese input system based on Bayesian LDA

Jing Jin
  • School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
  • Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Brendan Z. Allison
  • Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Clemens Brunner
  • Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Bei Wang
  • School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Xingyu Wang
  • School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
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  • De Gruyter OnlineGoogle Scholar
/ Jianhua Zhang
  • School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
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/ Christa Neuper
  • Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
  • Department of Psychology, University of Graz, Graz, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Gert Pfurtscheller
  • Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2010-02-04 | DOI: https://doi.org/10.1515/bmt.2010.003

Abstract

A brain-computer interface (BCI) is a new communication channel between humans and computers that translates brain activity into recognizable command and control signals. Attended events can evoke P300 potentials in the electroencephalogram. Hence, the P300 has been used in BCI systems to spell, control cursors or robotic devices, and other tasks. This paper introduces a novel P300 BCI to communicate Chinese characters. To improve classification accuracy, an optimization algorithm (particle swarm optimization, PSO) is used for channel selection (i.e., identifying the best electrode configuration). The effects of different electrode configurations on classification accuracy were tested by Bayesian linear discriminant analysis offline. The offline results from 11 subjects show that this new P300 BCI can effectively communicate Chinese characters and that the features extracted from the electrodes obtained by PSO yield good performance.

Keywords: Bayesian linear discriminant analysis; brain-computer interface; Chinese character input system; P300; particle swarm optimization

About the article

Corresponding author: Jing Jin, Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, A-8010 Graz, Austria Phone: +43-316-873-5306 Fax: +43-316-873-5349


Received: 2009-03-09

Accepted: 2009-09-02

Published Online: 2010-02-04

Published in Print: 2010-02-01


Citation Information: Biomedizinische Technik/Biomedical Engineering, Volume 55, Issue 1, Pages 5–18, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/bmt.2010.003.

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