Literature DB >> 15188875

BCI2000: a general-purpose brain-computer interface (BCI) system.

Gerwin Schalk1, Dennis J McFarland, Thilo Hinterberger, Niels Birbaumer, Jonathan R Wolpaw.   

Abstract

Many laboratories have begun to develop brain-computer interface (BCI) systems that provide communication and control capabilities to people with severe motor disabilities. Further progress and realization of practical applications depends on systematic evaluations and comparisons of different brain signals, recording methods, processing algorithms, output formats, and operating protocols. However, the typical BCI system is designed specifically for one particular BCI method and is, therefore, not suited to the systematic studies that are essential for continued progress. In response to this problem, we have developed a documented general-purpose BCI research and development platform called BCI2000. BCI2000 can incorporate alone or in combination any brain signals, signal processing methods, output devices, and operating protocols. This report is intended to describe to investigators, biomedical engineers, and computer scientists the concepts that the BC12000 system is based upon and gives examples of successful BCI implementations using this system. To date, we have used BCI2000 to create BCI systems for a variety of brain signals, processing methods, and applications. The data show that these systems function well in online operation and that BCI2000 satisfies the stringent real-time requirements of BCI systems. By substantially reducing labor and cost, BCI2000 facilitates the implementation of different BCI systems and other psychophysiological experiments. It is available with full documentation and free of charge for research or educational purposes and is currently being used in a variety of studies by many research groups.

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Year:  2004        PMID: 15188875     DOI: 10.1109/TBME.2004.827072

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  462 in total

1.  Control of a visual keyboard using an electrocorticographic brain-computer interface.

Authors:  Dean J Krusienski; Jerry J Shih
Journal:  Neurorehabil Neural Repair       Date:  2010-10-04       Impact factor: 3.919

2.  Predictive spelling with a P300-based brain-computer interface: Increasing the rate of communication.

Authors:  D B Ryan; G E Frye; G Townsend; D R Berry; S Mesa-G; N A Gates; E W Sellers
Journal:  Int J Hum Comput Interact       Date:  2011-01-01       Impact factor: 3.353

3.  Does the 'P300' speller depend on eye gaze?

Authors:  P Brunner; S Joshi; S Briskin; J R Wolpaw; H Bischof; G Schalk
Journal:  J Neural Eng       Date:  2010-09-21       Impact factor: 5.379

4.  Decoding and cortical source localization for intended movement direction with MEG.

Authors:  Wei Wang; Gustavo P Sudre; Yang Xu; Robert E Kass; Jennifer L Collinger; Alan D Degenhart; Anto I Bagic; Douglas J Weber
Journal:  J Neurophysiol       Date:  2010-08-25       Impact factor: 2.714

5.  Cortical activity during motor execution, motor imagery, and imagery-based online feedback.

Authors:  Kai J Miller; Gerwin Schalk; Eberhard E Fetz; Marcel den Nijs; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-16       Impact factor: 11.205

6.  Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Authors:  D B Ryan; G Townsend; N A Gates; K Colwell; E W Sellers
Journal:  Clin Neurophysiol       Date:  2017-08-08       Impact factor: 3.708

7.  The advantages of the surface Laplacian in brain-computer interface research.

Authors:  Dennis J McFarland
Journal:  Int J Psychophysiol       Date:  2014-08-01       Impact factor: 2.997

8.  A Framework for Content-based Retrieval of EEG with Applications to Neuroscience and Beyond.

Authors:  Kyungmin Su; Kay A Robbins
Journal:  Proc Int Jt Conf Neural Netw       Date:  2013

9.  Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms.

Authors:  Bradley J Edelman; Jianjun Meng; Nicholas Gulachek; Christopher C Cline; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-05       Impact factor: 3.802

10.  Short-time windowed covariance: a metric for identifying non-stationary, event-related covariant cortical sites.

Authors:  Timothy Blakely; Jeffrey G Ojemann; Rajesh P N Rao
Journal:  J Neurosci Methods       Date:  2013-11-06       Impact factor: 2.390

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