Literature DB >> 12899247

Brain-computer interface technology: a review of the Second International Meeting.

Theresa M Vaughan, William J Heetderks, Leonard J Trejo, William Z Rymer, Michael Weinrich, Melody M Moore, Andrea Kübler, Bruce H Dobkin, Niels Birbaumer, Emanuel Donchin, Elizabeth Winter Wolpaw, Jonathan R Wolpaw.   

Abstract

This paper summarizes the Brain-Computer Interfaces for Communication and Control, The Second International Meeting, held in Rensselaerville, NY, in June 2002. Sponsored by the National Institutes of Health and organized by the Wadsworth Center of the New York State Department of Health, the meeting addressed current work and future plans in brain-computer interface (BCI) research. Ninety-two researchers representing 38 different research groups from the United States, Canada, Europe, and China participated. The BCIs discussed at the meeting use electroencephalographic activity recorded from the scalp or single-neuron activity recorded within cortex to control cursor movement, select letters or icons, or operate neuroprostheses. The central element in each BCI is a translation algorithm that converts electrophysiological input from the user into output that controls external devices. BCI operation depends on effective interaction between two adaptive controllers, the user who encodes his or her commands in the electrophysiological input provided to the BCI, and the BCI that recognizes the commands contained in the input and expresses them in device control. Current BCIs have maximum information transfer rates of up to 25 b/min. Achievement of greater speed and accuracy requires improvements in signal acquisition and processing, in translation algorithms, and in user training. These improvements depend on interdisciplinary cooperation among neuroscientists, engineers, computer programmers, psychologists, and rehabilitation specialists, and on adoption and widespread application of objective criteria for evaluating alternative methods. The practical use of BCI technology will be determined by the development of appropriate applications and identification of appropriate user groups, and will require careful attention to the needs and desires of individual users.

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Year:  2003        PMID: 12899247     DOI: 10.1109/tnsre.2003.814799

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  28 in total

1.  Adaptive feature extraction for EEG signal classification.

Authors:  Shiliang Sun; Changshui Zhang
Journal:  Med Biol Eng Comput       Date:  2006-09-12       Impact factor: 2.602

2.  Improving mental task classification by adding high frequency band information.

Authors:  Li Zhang; Wei He; Chuanhong He; Ping Wang
Journal:  J Med Syst       Date:  2010-02       Impact factor: 4.460

3.  Experimental Set Up of P300 Based Brain Computer Interface Using a Bioamplifier and BCI2000 System for Patients with Spinal Cord Injury.

Authors:  Hyeongseok Jeon; Dong Ah Shin
Journal:  Korean J Spine       Date:  2015-09-30

4.  Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.

Authors:  Jane E Huggins; Christoph Guger; Erik Aarnoutse; Brendan Allison; Charles W Anderson; Steven Bedrick; Walter Besio; Ricardo Chavarriaga; Jennifer L Collinger; An H Do; Christian Herff; Matthias Hohmann; Michelle Kinsella; Kyuhwa Lee; Fabien Lotte; Gernot Müller-Putz; Anton Nijholt; Elmar Pels; Betts Peters; Felix Putze; Rüdiger Rupp; Gerwin Schalk; Stephanie Scott; Michael Tangermann; Paul Tubig; Thorsten Zander
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2019-12-10

5.  Coating flexible probes with an ultra fast degrading polymer to aid in tissue insertion.

Authors:  Meng-chen Lo; Shuwu Wang; Sagar Singh; Vinod B Damodaran; Hilton M Kaplan; Joachim Kohn; David I Shreiber; Jeffrey D Zahn
Journal:  Biomed Microdevices       Date:  2015-04       Impact factor: 2.838

Review 6.  Neurobiology of rehabilitation.

Authors:  Bruce H Dobkin
Journal:  Ann N Y Acad Sci       Date:  2004-12       Impact factor: 5.691

7.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

8.  Characterization of a-SiC(x):H thin films as an encapsulation material for integrated silicon based neural interface devices.

Authors:  Jui-Mei Hsu; Prashant Tathireddy; Loren Rieth; A Richard Normann; Florian Solzbacher
Journal:  Thin Solid Films       Date:  2007-11-01       Impact factor: 2.183

9.  An enhanced probabilistic LDA for multi-class brain computer interface.

Authors:  Peng Xu; Ping Yang; Xu Lei; Dezhong Yao
Journal:  PLoS One       Date:  2011-01-31       Impact factor: 3.240

10.  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

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