Literature DB >> 22960261

A general P300 brain-computer interface presentation paradigm based on performance guided constraints.

George Townsend1, Jessica Shanahan, David B Ryan, Eric W Sellers.   

Abstract

An electroencephalographic-based brain-computer interface (BCI) can provide a non-muscular method of communication. A general model for P300-based BCI stimulus presentations is introduced--the "m choose n" or C(m (number of flashes per sequence), n (number of flashes per item)) paradigm, which is a universal extension of the previously reported checkerboard paradigm (CBP). C(m,n) captures all possible (unconstrained) ways to flash target items, and then applies constraints to enhance ERP's produced by attended matrix items. We explore a C(36,5) instance of C(m,n) called the "five flash paradigm" (FFP) and compare its performance to the CBP. Eight subjects were tested in each paradigm, counter-balanced. Twelve minutes of calibration data were used as input to a stepwise linear discriminant analysis to derive classification coefficients used for online classification. Accuracy was consistently high for FFP (88%) and CBP (90%); information transfer rate was significantly higher for the FFP (63 bpm) than the CBP (48 bpm). The C(m,n) is a novel and effective general strategy for organizing stimulus groups. Appropriate choices for "m," "n," and specific constraints can improve presentation paradigms by adjusting the parameters in a subject specific manner. This may be especially important for people with neuromuscular disabilities.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22960261      PMCID: PMC3646331          DOI: 10.1016/j.neulet.2012.08.041

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  21 in total

1.  A generative model approach for decoding in the visual event-related potential-based brain-computer interface speller.

Authors:  S M M Martens; J M Leiva
Journal:  J Neural Eng       Date:  2010-02-18       Impact factor: 5.379

2.  A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns.

Authors:  G Townsend; B K LaPallo; C B Boulay; D J Krusienski; G E Frye; C K Hauser; N E Schwartz; T M Vaughan; J R Wolpaw; E W Sellers
Journal:  Clin Neurophysiol       Date:  2010-03-26       Impact factor: 3.708

3.  A new P300 stimulus presentation pattern for EEG-based spelling systems.

Authors:  Jing Jin; Petar Horki; Clemens Brunner; Xingyu Wang; Christa Neuper; Gert Pfurtscheller
Journal:  Biomed Tech (Berl)       Date:  2010-08       Impact factor: 1.411

4.  Toward enhanced P300 speller performance.

Authors:  D J Krusienski; E W Sellers; D J McFarland; T M Vaughan; J R Wolpaw
Journal:  J Neurosci Methods       Date:  2007-08-01       Impact factor: 2.390

5.  Overlap and refractory effects in a brain-computer interface speller based on the visual P300 event-related potential.

Authors:  S M M Martens; N J Hill; J Farquhar; B Schölkopf
Journal:  J Neural Eng       Date:  2009-03-02       Impact factor: 5.379

6.  Visual stimuli for the P300 brain-computer interface: a comparison of white/gray and green/blue flicker matrices.

Authors:  Kouji Takano; Tomoaki Komatsu; Naoki Hata; Yasoichi Nakajima; Kenji Kansaku
Journal:  Clin Neurophysiol       Date:  2009-06-27       Impact factor: 3.708

7.  N200-speller using motion-onset visual response.

Authors:  Bo Hong; Fei Guo; Tao Liu; Xiaorong Gao; Shangkai Gao
Journal:  Clin Neurophysiol       Date:  2009-07-28       Impact factor: 3.708

8.  Visual modifications on the P300 speller BCI paradigm.

Authors:  M Salvaris; F Sepulveda
Journal:  J Neural Eng       Date:  2009-07-15       Impact factor: 5.379

9.  Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface.

Authors:  Jing Jin; Brendan Z Allison; Eric W Sellers; Clemens Brunner; Petar Horki; Xingyu Wang; Christa Neuper
Journal:  Med Biol Eng Comput       Date:  2010-10-02       Impact factor: 2.602

10.  How many people are able to control a P300-based brain-computer interface (BCI)?

Authors:  Christoph Guger; Shahab Daban; Eric Sellers; Clemens Holzner; Gunther Krausz; Roberta Carabalona; Furio Gramatica; Guenter Edlinger
Journal:  Neurosci Lett       Date:  2009-06-21       Impact factor: 3.046

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  11 in total

1.  An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling.

Authors:  Mohammad Moghadamfalahi; Murat Akcakaya; Hooman Nezamfar; Jamshid Sourati; Deniz Erdogmus
Journal:  IEEE Trans Signal Process       Date:  2017-07-17       Impact factor: 4.931

2.  Performance improvement of ERP-based brain-computer interface via varied geometric patterns.

Authors:  Zheng Ma; Tianshuang Qiu
Journal:  Med Biol Eng Comput       Date:  2017-06-28       Impact factor: 2.602

3.  Online BCI Typing using Language Model Classifiers by ALS Patients in their Homes.

Authors:  William Speier; Nand Chandravadia; Dustin Roberts; S Pendekanti; Nader Pouratian
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-11-15

4.  Probabilistic Simulation Framework for EEG-Based BCI Design.

Authors:  Umut Orhan; Hooman Nezamfar; Murat Akcakaya; Deniz Erdogmus; Matt Higger; Mohammad Moghadamfalahi; Andrew Fowler; Brian Roark; Barry Oken; Melanie Fried-Oken
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-05

5.  Optimizing the stimulus presentation paradigm design for the P300-based brain-computer interface using performance prediction.

Authors:  B O Mainsah; G Reeves; L M Collins; C S Throckmorton
Journal:  J Neural Eng       Date:  2017-08       Impact factor: 5.379

6.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

7.  An efficient ERP-based brain-computer interface using random set presentation and face familiarity.

Authors:  Seul-Ki Yeom; Siamac Fazli; Klaus-Robert Müller; Seong-Whan Lee
Journal:  PLoS One       Date:  2014-11-10       Impact factor: 3.240

8.  Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm.

Authors:  Sijie Zhou; Jing Jin; Ian Daly; Xingyu Wang; Andrzej Cichocki
Journal:  Front Neurosci       Date:  2016-10-07       Impact factor: 4.677

9.  A P300-based brain-computer interface with stimuli on moving objects: four-session single-trial and triple-trial tests with a game-like task design.

Authors:  Ilya P Ganin; Sergei L Shishkin; Alexander Y Kaplan
Journal:  PLoS One       Date:  2013-10-31       Impact factor: 3.240

10.  Towards user-friendly spelling with an auditory brain-computer interface: the CharStreamer paradigm.

Authors:  Johannes Höhne; Michael Tangermann
Journal:  PLoS One       Date:  2014-06-02       Impact factor: 3.240

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