Single-trial processing of event-related potentials using outlier information

TitleSingle-trial processing of event-related potentials using outlier information
Publication TypeJournal Article
Year of Publication1993
AuthorsBirch, G. E., P. D. Lawrence, and R. D. Hare
JournalBiomedical Engineering, IEEE Transactions on
Pagination59 -73
Date Publishedjan.
KeywordsAction Potentials, Bayes Theorem, Bias (Epidemiology), bioelectric potentials, Computer-Assisted, electroencephalography, Evaluation Studies as Topic, event-related potentials, Humans, idle task, medical signal processing, Models, motor activity, Neurological, Normal Distribution, outlier information, Reproducibility of Results, Sensitivity and Specificity, signal processing, single-trial EEG data, single-trial event-related information, single-trial processing, Statistical, Thumb, thumb movement, Time Factors

An approach to extracting single-trial event-related information is described. This approach, called the outlier processing method (OPM), is based on the concept that event-related information is contained in electroencephalogram (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.


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