title: Single-trial processing of event-related potentials using outlier information.
abstract: A new approach to extracting single-trial event-related information is described in this paper. This approach, called the outlier processing method (OPM), is based on the concept that event-related information is contained in EEG time-series outliers. In particular, the OPM has been effective in extracting motor-related information from single-trial EEG. An investigation into the viability of the OPM was carried out on single-trial EEG data from four subjects. The EEG was collected under two conditions: an active task in which the subject performed a skilled thumb movement and an idle task in which the subject remained alert but did not carry out any motor activity. The results of this investigation demonstrated that consistent single-trial motor related information can be successfully extracted using the OPM.
authors: Department of Electrical Engineering, University of British Columbia, Vancouver, Canada.
authors: G E
authors: GE
authors: Birch
authors: P D
authors: PD
authors: Lawrence
authors: R D
authors: RD
authors: Hare
mesh_terms: D000200:Action Potentials; D001499:Bayes Theorem; D015982:Bias; D004569:Electroencephalography / Q000592:standards*; D005069:Evaluation Studies as Topic; D006801:Humans; D008959:Models, Neurological; D015233:Models, Statistical; D009043:Motor Activity; D016011:Normal Distribution; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013933:Thumb / Q000502:physiology; D013997:Time Factors