Literature DB >> 21436525

Optimizing the P300-based brain-computer interface: current status, limitations and future directions.

J N Mak1, Y Arbel, J W Minett, L M McCane, B Yuksel, D Ryan, D Thompson, L Bianchi, D Erdogmus.   

Abstract

This paper summarizes the presentations and discussions at a workshop held during the Fourth International BCI Meeting charged with reviewing and evaluating the current state, limitations and future development of P300-based brain-computer interface (P300-BCI) systems. We reviewed such issues as potential users, recording methods, stimulus presentation paradigms, feature extraction and classification algorithms, and applications. A summary of the discussions and the panel's recommendations for each of these aspects are presented.

Mesh:

Year:  2011        PMID: 21436525     DOI: 10.1088/1741-2560/8/2/025003

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  29 in total

1.  A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people.

Authors:  Rebeca Corralejo; Luis F Nicolás-Alonso; Daniel Alvarez; Roberto Hornero
Journal:  Med Biol Eng Comput       Date:  2014-08-28       Impact factor: 2.602

2.  Increasing BCI communication rates with dynamic stopping towards more practical use: an ALS study.

Authors:  B O Mainsah; L M Collins; K A Colwell; E W Sellers; D B Ryan; K Caves; C S Throckmorton
Journal:  J Neural Eng       Date:  2015-01-14       Impact factor: 5.379

3.  Using the detectability index to predict P300 speller performance.

Authors:  B O Mainsah; L M Collins; C S Throckmorton
Journal:  J Neural Eng       Date:  2016-10-05       Impact factor: 5.379

4.  P300-based brain-computer interface (BCI) event-related potentials (ERPs): People with amyotrophic lateral sclerosis (ALS) vs. age-matched controls.

Authors:  Lynn M McCane; Susan M Heckman; Dennis J McFarland; George Townsend; Joseph N Mak; Eric W Sellers; Debra Zeitlin; Laura M Tenteromano; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2015-02-07       Impact factor: 3.708

5.  Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis.

Authors:  Lynn M McCane; Eric W Sellers; Dennis J McFarland; Joseph N Mak; C Steve Carmack; Debra Zeitlin; Jonathan R Wolpaw; Theresa M Vaughan
Journal:  Amyotroph Lateral Scler Frontotemporal Degener       Date:  2014-02-20       Impact factor: 4.092

6.  Offline analysis of context contribution to ERP-based typing BCI performance.

Authors:  Umut Orhan; Deniz Erdogmus; Brian Roark; Barry Oken; Melanie Fried-Oken
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

7.  Three-Dimensional Brain-Computer Interface Control Through Simultaneous Overt Spatial Attentional and Motor Imagery Tasks.

Authors:  Jianjun Meng; Taylor Streitz; Nicholas Gulachek; Daniel Suma; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2018-10-01       Impact factor: 4.538

8.  Utilizing a language model to improve online dynamic data collection in P300 spellers.

Authors:  Boyla O Mainsah; Kenneth A Colwell; Leslie M Collins; Chandra S Throckmorton
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-05-02       Impact factor: 3.802

9.  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

Review 10.  Brain implants for substituting lost motor function: state of the art and potential impact on the lives of motor-impaired seniors.

Authors:  N F Ramsey; E J Aarnoutse; M J Vansteensel
Journal:  Gerontology       Date:  2014-03-13       Impact factor: 5.140

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