Online Public Access Catalogue

Brain-Computer Interfaces (Record no. 20773)

MARC details
020 ## -
-- 9781402087059
-- 978-1-4020-8705-9
024 7# -
-- 10.1007/978-1-4020-8705-9
-- doi
050 #4 -
-- R856-857
072 #7 -
-- MQW
-- bicssc
072 #7 -
-- TEC009000
-- bisacsh
082 04 -
-- 610.28
-- 23
100 1# -
-- Berger, Theodore W.
-- author.
245 10 -
-- Brain-Computer Interfaces
-- [electronic resource] :
-- An International Assessment of Research and Development Trends /
-- by Theodore W. Berger, John K. Chapin, Greg A. Gerhardt, Dennis J. McFarland, José C. Principe, Walid V. Soussou, Dawn M. Taylor, Patrick A. Tresco.
264 #1 -
-- Dordrecht :
-- Springer Netherlands,
-- 2008.
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-- online resource.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
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-- text file
-- PDF
-- rda
505 0# -
-- Sensor Technology -- The Biotic-Abiotic Interface -- BMI/BCI Modeling and Signal Processing -- Hardware Implementation -- Functional Electrical Stimulation and Rehabilitation Applications of BCIs -- Noninvasive Communication Systems -- Cognitive and Emotional Neuroprostheses -- Research Organization-Funding, Translation-Commercialization, and Education-Training Issues.
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-- Brain-computer interface (BCI) research deals with establishing communication pathways between the brain and external devices where such pathways do not otherwise exist. Throughout the world, such research is surprisingly extensive and expanding. BCI research is rapidly approaching a level of first-generation medical practice for use by individuals whose neural pathways are damaged, and use of BCI technologies is accelerating rapidly in nonmedical arenas of commerce as well, particularly in the gaming, automotive, and robotics industries. The technologies used for BCI purposes are cutting-edge, enabling, and synergistic in many interrelated arenas, including signal processing, neural tissue engineering, multiscale modeling, systems integration, and robotics. This WTEC study gathered information on worldwide status and trends in BCI research to disseminate to government decisionmakers and the research community. The study reviewed and assessed the state of the art in sensor technology, the biotic-abiotic interface and biocompatibility, data analysis and modeling, hardware implementation, systems engineering, functional electrical stimulation, noninvasive communication systems, and cognitive and emotional neuroprostheses in academic research and industry. The study also compared the distinctly different foci, range, and investment levels of BCI research programs in the United States, Canada, China, Europe, and Japan.
650 #0 -
-- Engineering.
650 #0 -
-- Neurosciences.
650 #0 -
-- Medical ethics.
650 #0 -
-- Computer science.
650 #0 -
-- Biomedical engineering.
650 #0 -
-- Economics.
650 #0 -
-- Biomaterials.
650 14 -
-- Engineering.
650 24 -
-- Biomedical Engineering.
650 24 -
-- Neurosciences.
650 24 -
-- R & D/Technology Policy.
650 24 -
-- Biomaterials.
650 24 -
-- User Interfaces and Human Computer Interaction.
650 24 -
-- Theory of Medicine/Bioethics.
700 1# -
-- Chapin, John K.
-- author.
700 1# -
-- Gerhardt, Greg A.
-- author.
700 1# -
-- McFarland, Dennis J.
-- author.
700 1# -
-- Principe, José C.
-- author.
700 1# -
-- Soussou, Walid V.
-- author.
700 1# -
-- Taylor, Dawn M.
-- author.
700 1# -
-- Tresco, Patrick A.
-- author.
710 2# -
-- SpringerLink (Online service)
773 0# -
-- Springer eBooks
776 08 -
-- Printed edition:
-- 9781402087042
856 40 -
-- http://dx.doi.org/10.1007/978-1-4020-8705-9
912 ## -
-- ZDB-2-ENG
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-- Engineering (Springer-11647)
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-- 20773
-- 20773

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