Literature DB >> 10896178

Brain-computer interface technology: a review of the first international meeting.

J R Wolpaw1, N Birbaumer, W J Heetderks, D J McFarland, P H Peckham, G Schalk, E Donchin, L A Quatrano, C J Robinson, T M Vaughan.   

Abstract

Over the past decade, many laboratories have begun to explore brain-computer interface (BCI) technology as a radically new communication option for those with neuromuscular impairments that prevent them from using conventional augmentative communication methods. BCI's provide these users with communication channels that do not depend on peripheral nerves and muscles. This article summarizes the first international meeting devoted to BCI research and development. Current BCI's use electroencephalographic (EEG) activity recorded at the scalp or single-unit activity recorded from within cortex to control cursor movement, select letters or icons, or operate a neuroprosthesis. 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 which recognizes the commands contained in the input and expresses them in device control. Current BCI's have maximum information transfer rates of 5-25 b/min. Achievement of greater speed and accuracy depends on improvements in signal processing, translation algorithms, and user training. These improvements depend on increased interdisciplinary cooperation between neuroscientists, engineers, computer programmers, psychologists, and rehabilitation specialists, and on adoption and widespread application of objective methods for evaluating alternative methods. The practical use of BCI technology depends on the development of appropriate applications, identification of appropriate user groups, and careful attention to the needs and desires of individual users. BCI research and development will also benefit from greater emphasis on peer-reviewed publications, and from adoption of standard venues for presentations and discussion.

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Year:  2000        PMID: 10896178     DOI: 10.1109/tre.2000.847807

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN: 1063-6528


  180 in total

1.  Control of a hand grasp neuroprosthesis using an electroencephalogram-triggered switch: demonstration of improvements in performance using wavepacket analysis.

Authors:  J M Heasman; T R D Scott; L Kirkup; R Y Flynn; V A Vare; C R Gschwind
Journal:  Med Biol Eng Comput       Date:  2002-09       Impact factor: 2.602

Review 2.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

3.  Magnetoencephalographic signals predict movement trajectory in space.

Authors:  Apostolos P Georgopoulos; Frederick J P Langheim; Arthur C Leuthold; Alexander N Merkle
Journal:  Exp Brain Res       Date:  2005-10-29       Impact factor: 1.972

4.  Extraction of motor activity from the cervical spinal cord of behaving rats.

Authors:  Abhishek Prasad; Mesut Sahin
Journal:  J Neural Eng       Date:  2006-09-18       Impact factor: 5.379

5.  Real-time fMRI using brain-state classification.

Authors:  Stephen M LaConte; Scott J Peltier; Xiaoping P Hu
Journal:  Hum Brain Mapp       Date:  2007-10       Impact factor: 5.038

6.  Multi-channel recordings of the motor activity from the spinal cord of behaving rats.

Authors:  Abhishek Prasad; Mesut Sahin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2006

7.  Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain-computer interface.

Authors:  Karl LaFleur; Kaitlin Cassady; Alexander Doud; Kaleb Shades; Eitan Rogin; Bin He
Journal:  J Neural Eng       Date:  2013-06-04       Impact factor: 5.379

8.  The tongue enables computer and wheelchair control for people with spinal cord injury.

Authors:  Jeonghee Kim; Hangue Park; Joy Bruce; Erica Sutton; Diane Rowles; Deborah Pucci; Jaimee Holbrook; Julia Minocha; Beatrice Nardone; Dennis West; Anne Laumann; Eliot Roth; Mike Jones; Emir Veledar; Maysam Ghovanloo
Journal:  Sci Transl Med       Date:  2013-11-27       Impact factor: 17.956

9.  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

10.  Detection of movement-related potentials from the electro-encephalogram for possible use in a brain-computer interface.

Authors:  E Yom-Tov; G F Inbar
Journal:  Med Biol Eng Comput       Date:  2003-01       Impact factor: 2.602

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