Literature DB >> 17605682

Brain-computer interface systems: progress and prospects.

Brendan Z Allison1, Elizabeth Winter Wolpaw, Jonathan R Wolpaw.   

Abstract

Brain-computer interface (BCI) systems support communication through direct measures of neural activity without muscle activity. BCIs may provide the best and sometimes the only communication option for users disabled by the most severe neuromuscular disorders and may eventually become useful to less severely disabled and/or healthy individuals across a wide range of applications. This review discusses the structure and functions of BCI systems, clarifies terminology and addresses practical applications. Progress and opportunities in the field are also identified and explicated.

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Year:  2007        PMID: 17605682     DOI: 10.1586/17434440.4.4.463

Source DB:  PubMed          Journal:  Expert Rev Med Devices        ISSN: 1743-4440            Impact factor:   3.166


  48 in total

1.  The possibility of determination of accuracy of performance just before the onset of a reaching task using movement-related cortical potentials.

Authors:  Satoshi Suzuki; Takemi Matsui; Yusuke Sakaguchi; Kazuhiro Ando; Nobuyuki Nishiuchi; Masayuki Ishihara
Journal:  Med Biol Eng Comput       Date:  2010-07-21       Impact factor: 2.602

2.  Workload assessment of computer gaming using a single-stimulus event-related potential paradigm.

Authors:  Brendan Z Allison; John Polich
Journal:  Biol Psychol       Date:  2007-11-04       Impact factor: 3.251

3.  Towards an independent brain-computer interface using steady state visual evoked potentials.

Authors:  Brendan Z Allison; Dennis J McFarland; Gerwin Schalk; Shi Dong Zheng; Melody Moore Jackson; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2008-02       Impact factor: 3.708

4.  Critiquing the Concept of BCI Illiteracy.

Authors:  Margaret C Thompson
Journal:  Sci Eng Ethics       Date:  2018-08-16       Impact factor: 3.525

5.  Exploiting individual primary visual cortex geometry to boost steady state visual evoked potentials.

Authors:  M Isabel Vanegas; Annabelle Blangero; Simon P Kelly
Journal:  J Neural Eng       Date:  2013-04-03       Impact factor: 5.379

6.  Improved signal processing approaches in an offline simulation of a hybrid brain-computer interface.

Authors:  Clemens Brunner; Brendan Z Allison; Dean J Krusienski; Vera Kaiser; Gernot R Müller-Putz; Gert Pfurtscheller; Christa Neuper
Journal:  J Neurosci Methods       Date:  2010-02-11       Impact factor: 2.390

7.  The hybrid BCI.

Authors:  Gert Pfurtscheller; Brendan Z Allison; Clemens Brunner; Gunther Bauernfeind; Teodoro Solis-Escalante; Reinhold Scherer; Thorsten O Zander; Gernot Mueller-Putz; Christa Neuper; Niels Birbaumer
Journal:  Front Neurosci       Date:  2010-04-21       Impact factor: 4.677

8.  The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement.

Authors:  Jing Jin; Brendan Z Allison; Tobias Kaufmann; Andrea Kübler; Yu Zhang; Xingyu Wang; Andrzej Cichocki
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

9.  Channel selection based on phase measurement in P300-based brain-computer interface.

Authors:  Minpeng Xu; Hongzhi Qi; Lan Ma; Changcheng Sun; Lixin Zhang; Baikun Wan; Tao Yin; Dong Ming
Journal:  PLoS One       Date:  2013-04-11       Impact factor: 3.240

10.  Nonlinear dynamical model based control of in vitro hippocampal output.

Authors:  Min-Chi Hsiao; Dong Song; Theodore W Berger
Journal:  Front Neural Circuits       Date:  2013-02-20       Impact factor: 3.492

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