Using an EEG-based brain-computer interface for virtual cursor movement with BCI2000.

TitleUsing an EEG-based brain-computer interface for virtual cursor movement with BCI2000.
Publication TypeJournal Article
Year of Publication2009
AuthorsWilson, AJ, Schalk, G, Walton, Léo M, Williams, JC
JournalJ Vis Exp
Issue29
Date Published07/2009
ISSN1940-087X
KeywordsBrain, Calibration, Electrodes, Electroencephalography, Humans, User-Computer Interface
Abstract A brain-computer interface (BCI) functions by translating a neural signal, such as the electroencephalogram (EEG), into a signal that can be used to control a computer or other device. The amplitude of the EEG signals in selected frequency bins are measured and translated into a device command, in this case the horizontal and vertical velocity of a computer cursor. First, the EEG electrodes are applied to the user s scalp using a cap to record brain activity. Next, a calibration procedure is used to find the EEG electrodes and features that the user will learn to voluntarily modulate to use the BCI. In humans, the power in the mu (8-12 Hz) and beta (18-28 Hz) frequency bands decrease in amplitude during a real or imagined movement. These changes can be detected in the EEG in real-time, and used to control a BCI (,). Therefore, during a screening test, the user is asked to make several different imagined movements with their hands and feet to determine the unique EEG features that change with the imagined movements. The results from this calibration will show the best channels to use, which are configured so that amplitude changes in the mu and beta frequency bands move the cursor either horizontally or vertically. In this experiment, the general purpose BCI system BCI2000 is used to control signal acquisition, signal processing, and feedback to the user .
URLhttp://www.ncbi.nlm.nih.gov/pubmed/19641479
DOI10.3791/1319
Alternate JournalJ Vis Exp
PubMed ID19641479
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