An offline auditory P300 brain-computer interface using principal and independent component analysis techniques for functional electrical stimulation application.
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.
Bentley
Alexander S J
AS
MRC/UCT Medical Imaging Research Unit, University of Cape Town, Faculty of Health Sciences, Observatory, 7925, South Africa. alexander.bentley@uct.ac.za
Andrew
Colin M
CM
John
Lester R
LR
D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D003143:Communication Devices for People with Disabilities; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004599:Electric Stimulation Therapy / Q000295:instrumentation / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D006801:Humans; D008962:Models, Theoretical; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D014584:User-Computer Interface