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Noninvasive BCIs: Multiway Signal-Processing Array Decompositions SCIE SCOPUS

Title
Noninvasive BCIs: Multiway Signal-Processing Array Decompositions
Authors
Cichocki, AWashizawa, YRutkowski, TBakardjian, HPhan, AHChoi, SLee, HZhao, QBZhang, LQLi, YQ
Date Issued
2008-10
Publisher
IEEE COMPUTER SOC
Abstract
Brain computer interfaces use electric, magnetic, or hemodynamic brain signals to control external devices such as computers, switches, wheelchairs, or neuroprostheses. While BCI research endeavors to create new communication channels for severely handicapped people using their brain signals, recent efforts also have been focused on developing potential applications in rehabilitation, multimedia communication, virtual reality, and entertainment and relaxation. To attain high-quality brain data and, thus, a reliable BCI system, we first need to create the stimulus conditions or mental task setting that will generate maximally measurable and classifiable brain states.
Keywords
BRAIN-COMPUTER INTERFACES; FACTORIZATION; CLASSIFICATION
URI
https://oasis.postech.ac.kr/handle/2014.oak/22459
DOI
10.1109/MC.2008.431
ISSN
0018-9162
Article Type
Article
Citation
COMPUTER, vol. 41, no. 10, page. 34 - +, 2008-10
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최승진CHOI, SEUNGJIN
Dept of Computer Science & Enginrg
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