Literature DB >> 22208120

A multi-purpose brain-computer interface output device.

David E Thompson1, Jane E Huggins.   

Abstract

While brain-computer interfaces (BCIs) are a promising alternative access pathway for individuals with severe motor impairments, many BCI systems are designed as stand-alone communication and control systems, rather than as interfaces to existing systems built for these purposes. An individual communication and control system may be powerful or flexible, but no single system can compete with the variety of options available in the commercial assistive technology (AT) market. BCls could instead be used as an interface to these existing AT devices and products, which are designed for improving access and agency of people with disabilities and are highly configurable to individual user needs. However, interfacing with each AT device and program requires significant time and effort on the part of researchers and clinicians. This work presents the Multi-Purpose BCI Output Device (MBOD), a tool to help researchers and clinicians provide BCI control of many forms of AT in a plug-and-play fashion, i.e., without the installation of drivers or software on the AT device, and a proof-of-concept of the practicality of such an approach. The MBOD was designed to meet the goals of target device compatibility, BCI input device compatibility, convenience, and intuitive command structure. The MBOD was successfully used to interface a BCI with multiple AT devices (including two wheelchair seating systems), as well as computers running Windows (XP and 7), Mac and Ubuntu Linux operating systems.

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Mesh:

Year:  2011        PMID: 22208120      PMCID: PMC3269095          DOI: 10.1177/155005941104200408

Source DB:  PubMed          Journal:  Clin EEG Neurosci        ISSN: 1550-0594            Impact factor:   1.843


  11 in total

Review 1.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

2.  A general framework for brain-computer interface design.

Authors:  Steven G Mason; Gary E Birch
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-03       Impact factor: 3.802

3.  A BCI-based environmental controller for the motion-disabled.

Authors:  Xiaorong Gao; Dingfeng Xu; Ming Cheng; Shangkai Gao
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2003-06       Impact factor: 3.802

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

Authors:  Gerwin Schalk; Dennis J McFarland; Thilo Hinterberger; Niels Birbaumer; Jonathan R Wolpaw
Journal:  IEEE Trans Biomed Eng       Date:  2004-06       Impact factor: 4.538

5.  A brain controlled wheelchair to navigate in familiar environments.

Authors:  Brice Rebsamen; Cuntai Guan; Haihong Zhang; Chuanchu Wang; Cheeleong Teo; Marcelo H Ang; Etienne Burdet
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-05-10       Impact factor: 3.802

Review 6.  A comprehensive survey of brain interface technology designs.

Authors:  S G Mason; A Bashashati; M Fatourechi; K F Navarro; G E Birch
Journal:  Ann Biomed Eng       Date:  2006-11-18       Impact factor: 3.934

Review 7.  The efficacy and benefits of environmental control systems for the severely disabled.

Authors:  Ashley Craig; Yvonne Tran; Paul McIsaac; Peter Boord
Journal:  Med Sci Monit       Date:  2005-01

8.  An auditory oddball (P300) spelling system for brain-computer interfaces.

Authors:  A Furdea; S Halder; D J Krusienski; D Bross; F Nijboer; N Birbaumer; A Kübler
Journal:  Psychophysiology       Date:  2009-01-26       Impact factor: 4.016

9.  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

10.  Non-invasive brain-computer interface system: towards its application as assistive technology.

Authors:  Febo Cincotti; Donatella Mattia; Fabio Aloise; Simona Bufalari; Gerwin Schalk; Giuseppe Oriolo; Andrea Cherubini; Maria Grazia Marciani; Fabio Babiloni
Journal:  Brain Res Bull       Date:  2008-02-04       Impact factor: 4.077

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  3 in total

1.  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

2.  A plug-and-play brain-computer interface to operate commercial assistive technology.

Authors:  David E Thompson; Kirsten L Gruis; Jane E Huggins
Journal:  Disabil Rehabil Assist Technol       Date:  2013-04-16

3.  Classifier-based latency estimation: a novel way to estimate and predict BCI accuracy.

Authors:  David E Thompson; Seth Warschausky; Jane E Huggins
Journal:  J Neural Eng       Date:  2012-12-12       Impact factor: 5.379

  3 in total

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