title: Should the parameters of a BCI translation algorithm be continually adapted?
abstract: People with or without motor disabilities can learn to control sensorimotor rhythms (SMRs) recorded from the scalp to move a computer cursor in one or more dimensions or can use the P300 event-related potential as a control signal to make discrete selections. Data collected from individuals using an SMR-based or P300-based BCI were evaluated offline to estimate the impact on performance of continually adapting the parameters of the translation algorithm during BCI operation. The performance of the SMR-based BCI was enhanced by adaptive updating of the feature weights or adaptive normalization of the features. In contrast, P300 performance did not benefit from either of these procedures.
authors.affiliation: Laboratory of Neural Injury and Repair, Wadsworth Center, New York State Department of Health, Albany, NY 12201-0509, United States. mcfarlan@wadsworth.org
authors.forename: Dennis J
authors.initials: DJ
authors.lastname: McFarland
authors.forename: William A
authors.initials: WA
authors.lastname: Sarnacki
authors.forename: Jonathan R
authors.initials: JR
authors.lastname: Wolpaw
mesh_terms: D000328:Adult; D000465:Algorithms; D000704:Analysis of Variance; D001185:Artificial Intelligence; D001921:Brain / Q000502:physiology*; D003143:Communication Devices for People with Disabilities; D016002:Discriminant Analysis; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D005260:Female; D006801:Humans; D059032:Learning Curve; D016018:Least-Squares Analysis; D008297:Male; D008328:Man-Machine Systems; D008875:Middle Aged; D012535:Scalp / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D012984:Software; D014584:User-Computer Interface