Noninvasive BCIs: Multiway Signal-Processing Array Decompositions
SCIE
SCOPUS
- Title
- Noninvasive BCIs: Multiway Signal-Processing Array Decompositions
- Authors
- Cichocki, A; Washizawa, Y; Rutkowski, T; Bakardjian, H; Phan, AH; Choi, S; Lee, H; Zhao, QB; Zhang, LQ; Li, 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
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.