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

G E Birch; P D Lawrence; R D Hare

doi:10.1109/10.204772

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

G E Birch·P D Lawrence·R D Hare

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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.

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Action Potentials Bayes Theorem Bias Electroencephalography Evaluation Studies as Topic Humans Models, Neurological Models, Statistical Motor Activity Normal Distribution Reproducibility of Results Sensitivity and Specificity Signal Processing, Computer-Assisted Thumb Time Factors Journal Article Research Support, Non-U.S. Gov't

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G E Birch, P D Lawrence, R D Hare. 1993. Single-trial processing of event-related potentials using outlier information.. https://doi.org/10.1109/10.204772

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