A µ-rhythm Matched Filter for Continuous Control of a Brain-Computer Interface.

TitleA µ-rhythm Matched Filter for Continuous Control of a Brain-Computer Interface.
Publication TypeJournal Article
Year of Publication2007
AuthorsKrusienski, DJ, Schalk, G, McFarland, DJ, Wolpaw, J
JournalIEEE Trans Biomed Eng
Date Published02/2007
KeywordsAlgorithms, Cerebral Cortex, Cortical Synchronization, Electroencephalography, Evoked Potentials, Humans, Imagination, Pattern Recognition, Automated, User-Computer Interface

A brain-computer interface (BCI) is a system that provides an alternate nonmuscular communication/control channel for individuals with severe neuromuscular disabilities. With proper training, individuals can learn to modulate the amplitude of specific electroencephalographic (EEG) components (e.g., the 8-12 Hz mu rhythm and 18-26 Hz beta rhythm) over the sensorimotor cortex and use them to control a cursor on a computer screen. Conventional spectral techniques for monitoring the continuousamplitude fluctuations fail to capture essential amplitude/phase relationships of the mu and beta rhythms in a compact fashion and, therefore, are suboptimal. By extracting the characteristic mu rhythm for a user, the exact morphology can be characterized and exploited as a matched filter. A simple, parameterized model for the characteristic mu rhythm is proposed and its effectiveness as a matched filter is examined online for a one-dimensional cursor control task. The results suggest that amplitude/phase coupling exists between the mu and beta bands during event-related desynchronization, and that an appropriate matched filter can provide improved performance.

Alternate JournalIEEE Trans Biomed Eng
PubMed ID17278584

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