title: A mu-rhythm matched filter for continuous control of a brain-computer interface.
abstract: 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 continuous amplitude 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.
authors.affiliation: University of North Florida, Jacksonville, FL 32224, USA. deankrusienski@ieee.org
authors.forename: Dean J
authors.initials: DJ
authors.lastname: Krusienski
authors.forename: Gerwin
authors.initials: G
authors.lastname: Schalk
authors.forename: Dennis J
authors.initials: DJ
authors.lastname: McFarland
authors.forename: Jonathan R
authors.initials: JR
authors.lastname: Wolpaw
mesh_terms: D000465:Algorithms; D002540:Cerebral Cortex / Q000502:physiology*; D003344:Cortical Synchronization / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D007092:Imagination / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D014584:User-Computer Interface