By Topic

An offline auditory P300 brain-computer interface using principal and independent component analysis techniques for functional electrical stimulation application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Alexander S. J. Bentley ; MRC/UCT Medical Imaging Research Unit, University of Cape Town, Faculty of Health Sciences, Observatory, 7925, South Africa ; Colin M. Andrew ; Lester R. John

A brain-computer interface (BCI) provides technology that allows communication and control for people who are unable to interact with their environment. A P300 BCI exploits the fact that external or internal stimuli may provide a recognition response in the brain's electrical activity which may be recorded by an electroencephalogram (EEG) to act as a control signal. Additionally an auditory BCI does not require the user to avert their visual attention away from the task at hand and is thus more practical in a real environment than other visual stimulus BCIs.

Published in:

2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

20-25 Aug. 2008