Literature DB >> 17115262

A comprehensive survey of brain interface technology designs.

S G Mason1, A Bashashati, M Fatourechi, K F Navarro, G E Birch.   

Abstract

In this work we present the first comprehensive survey of Brain Interface (BI) technology designs published prior to January 2006. Detailed results from this survey, which was based on the Brain Interface Design Framework proposed by Mason and Birch, are presented and discussed to address the following research questions: (1) which BI technologies are directly comparable, (2) what technology designs exist, (3) which application areas (users, activities and environments) have been targeted in these designs, (4) which design approaches have received little or no research and are possible opportunities for new technology, and (5) how well are designs reported. The results of this work demonstrate that meta-analysis of high-level BI design attributes is possible and informative. The survey also produced a valuable, historical cross-reference where BI technology designers can identify what types of technology have been proposed and by whom.

Mesh:

Year:  2006        PMID: 17115262     DOI: 10.1007/s10439-006-9170-0

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  34 in total

1.  Error potential detection during continuous movement of an artificial arm controlled by brain-computer interface.

Authors:  Alex Kreilinger; Christa Neuper; Gernot R Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2012-01-01       Impact factor: 2.602

2.  A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.

Authors:  Chun Sing Louis Tsui; John Q Gan; Stephen J Roberts
Journal:  Med Biol Eng Comput       Date:  2009-02-19       Impact factor: 2.602

3.  Heading for new shores! Overcoming pitfalls in BCI design.

Authors:  Ricardo Chavarriaga; Melanie Fried-Oken; Sonja Kleih; Fabien Lotte; Reinhold Scherer
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2016-12-30

4.  A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.

Authors:  Clemens Brunner; Martin Billinger; Carmen Vidaurre; Christa Neuper
Journal:  Med Biol Eng Comput       Date:  2011-09-25       Impact factor: 2.602

5.  A multi-purpose brain-computer interface output device.

Authors:  David E Thompson; Jane E Huggins
Journal:  Clin EEG Neurosci       Date:  2011-10       Impact factor: 1.843

6.  Neural processes mediating the preparation and release of focal motor output are suppressed or absent during imagined movement.

Authors:  Jeremy S Eagles; Anthony N Carlsen; Colum D MacKinnon
Journal:  Exp Brain Res       Date:  2015-03-06       Impact factor: 1.972

Review 7.  Neuroprosthetic technology for individuals with spinal cord injury.

Authors:  Jennifer L Collinger; Stephen Foldes; Tim M Bruns; Brian Wodlinger; Robert Gaunt; Douglas J Weber
Journal:  J Spinal Cord Med       Date:  2013-07       Impact factor: 1.985

8.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

9.  Biased feedback in brain-computer interfaces.

Authors:  Alvaro Barbero; Moritz Grosse-Wentrup
Journal:  J Neuroeng Rehabil       Date:  2010-07-27       Impact factor: 4.262

10.  Decoding hand movement velocity from electroencephalogram signals during a drawing task.

Authors:  Jun Lv; Yuanqing Li; Zhenghui Gu
Journal:  Biomed Eng Online       Date:  2010-10-28       Impact factor: 2.819

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