Literature DB >> 21867792

Out of the frying pan into the fire--the P300-based BCI faces real-world challenges.

Sonja C Kleih1, Tobias Kaufmann, Claudia Zickler, Sebastian Halder, Francesco Leotta, Febo Cincotti, Fabio Aloise, Angela Riccio, Cornelia Herbert, Donatella Mattia, Andrea Kübler.   

Abstract

Brain-computer interfaces (BCIs) have been investigated for more than 20 years. Many BCIs use noninvasive electroencephalography as a measurement technique and the P300 event-related potential as an input signal (P300 BCI). Since the first experiment with a P300 BCI system in 1988 by Farwell and Donchin, not only data processing has improved but also stimuli presentation has been varied and a plethora of applications was developed and refined. Nowadays, these applications are facing the challenge of being transferred from the research laboratory into real-life situations to serve motor-impaired people in their homes as assistive technology.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21867792     DOI: 10.1016/B978-0-444-53815-4.00019-4

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  27 in total

1.  Error potential detection during continuous movement of an artificial arm controlled by brain-computer interface.

Authors:  Alex Kreilinger; Christa Neuper; Gernot R Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2012-01-01       Impact factor: 2.602

2.  Effects of text generation on P300 brain-computer interface performance.

Authors:  Jane E Huggins; Ramses E Alcaide-Aguirre; Katya Hill
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-07-04

3.  A new parameter tuning approach for enhanced motor imagery EEG signal classification.

Authors:  Shiu Kumar; Alok Sharma
Journal:  Med Biol Eng Comput       Date:  2018-04-04       Impact factor: 2.602

4.  Novel hold-release functionality in a P300 brain-computer interface.

Authors:  R E Alcaide-Aguirre; J E Huggins
Journal:  J Neural Eng       Date:  2014-11-07       Impact factor: 5.379

5.  P300 brain computer interface: current challenges and emerging trends.

Authors:  Reza Fazel-Rezai; Brendan Z Allison; Christoph Guger; Eric W Sellers; Sonja C Kleih; Andrea Kübler
Journal:  Front Neuroeng       Date:  2012-07-17

6.  SPECTRA: a tool for enhanced brain wave signal recognition.

Authors:  Tatsuhiko Tsunoda; Alok Sharma; Shiu Kumar
Journal:  BMC Bioinformatics       Date:  2021-06-02       Impact factor: 3.307

7.  Spelling is Just a Click Away - A User-Centered Brain-Computer Interface Including Auto-Calibration and Predictive Text Entry.

Authors:  Tobias Kaufmann; Stefan Völker; Laura Gunesch; Andrea Kübler
Journal:  Front Neurosci       Date:  2012-05-23       Impact factor: 4.677

8.  Prediction of brain-computer interface aptitude from individual brain structure.

Authors:  S Halder; B Varkuti; M Bogdan; A Kübler; W Rosenstiel; R Sitaram; N Birbaumer
Journal:  Front Hum Neurosci       Date:  2013-04-02       Impact factor: 3.169

9.  Whatever works: a systematic user-centered training protocol to optimize brain-computer interfacing individually.

Authors:  Elisabeth V C Friedrich; Christa Neuper; Reinhold Scherer
Journal:  PLoS One       Date:  2013-09-23       Impact factor: 3.240

10.  Improving the efficacy of ERP-based BCIs using different modalities of covert visuospatial attention and a genetic algorithm-based classifier.

Authors:  Mauro Marchetti; Francesco Onorati; Matteo Matteucci; Luca Mainardi; Francesco Piccione; Stefano Silvoni; Konstantinos Priftis
Journal:  PLoS One       Date:  2013-01-14       Impact factor: 3.240

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