A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals

TitleA survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals
Publication TypeJournal Article
Year of Publication2007
AuthorsBashashati, A., M. Fatourechi, R. K. Ward, and G. E. Birch
JournalJ Neural Eng
Volume4
PaginationR32-57
Date PublishedJun
Abstract

Brain-computer interfaces (BCIs) aim at providing a non-muscular channel for sending commands to the external world using the electroencephalographic activity or other electrophysiological measures of the brain function. An essential factor in the successful operation of BCI systems is the methods used to process the brain signals. In the BCI literature, however, there is no comprehensive review of the signal processing techniques used. This work presents the first such comprehensive survey of all BCI designs using electrical signal recordings published prior to January 2006. Detailed results from this survey are presented and discussed. The following key research questions are addressed: (1) what are the key signal processing components of a BCI, (2) what signal processing algorithms have been used in BCIs and (3) which signal processing techniques have received more attention?

URLhttp://dx.doi.org/10.1088/1741-2560/4/2/R03
DOI10.1088/1741-2560/4/2/R03

a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia