title: A brain-controlled switch for asynchronous control applications.
abstract: Asynchronous control applications are an important class of application that has not received much attention from the brain-computer interface (BCI) community. This work provides a design for an asynchronous BCI switch and performs the first extensive evaluation of an asynchronous device in attentive, spontaneous electroencephalographic (EEG). The switch design [named the low-frequency asynchronous switch design (LF-ASD)] is based on a new feature set related to imaginary movements in the 1-4 Hz frequency range. This new feature set was identified from a unique analysis of EEG using a bi-scale wavelet. Offline evaluations of a prototype switch demonstrated hit (true positive) rates in the range of 38%-81% with corresponding false positive rates in the range of 0.3%-11.6%. The performance of the LF-ASD was contrasted with two other ASDs: one based on mu-power features and another based on the outlier processing method (OPM) algorithm. The minimum mean error rates for the LF-ASD were shown to be significantly lower than either of these other two switch designs.
authors.affiliation: Neil Squire Foundation, BC, Canada. sgmason@ieee.org
authors.forename: S G
authors.initials: SG
authors.lastname: Mason
authors.forename: G E
authors.initials: GE
authors.lastname: Birch
mesh_terms: D000328:Adult; D000465:Algorithms; D003143:Communication Devices for People with Disabilities; D004566:Electrodes; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D006801:Humans; D008297:Male; D009044:Motor Cortex / Q000502:physiology*; D012372:ROC Curve; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014584:User-Computer Interface