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Brain-computer interface : current and emerging rehabilitation applications

DALY JJ; HUGGINS JE
ARCH PHYS MED REHABIL , 2015, vol. 96, n° Suppl. 1, p. S1-S7
Doc n°: 173505
Localisation : Documentation IRR

D.O.I. : http://dx.doi.org/DOI:10.1016/j.apmr.2015.01.007
Descripteurs : VG - INTELLIGENCE ARTIFICIELLE.
Article consultable sur : http://www.archives-pmr.org

A formal definition of brain-computer interface (BCI) is as follows: a system
that acquires brain signal activity and translates it into an output that can
replace, restore, enhance, supplement, or improve the existing brain signal,
which can, in turn, modify or change ongoing interactions between the brain and
its internal or external environment. More simply, a BCI can be defined as a
system that translates "brain signals into new kinds of outputs." After brain
signal acquisition, the BCI evaluates the brain signal and extracts signal
features that have proven useful for task performance. There are 2 broad
categories of BCIs: implantable and noninvasive, distinguished by invasively and
noninvasively acquired brain signals, respectively. For this supplement, we will
focus on BCIs that use noninvasively acquired brain signals.
CI - Copyright (c) 2015 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS

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