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.
Keywords
ElectroencephalographyOutlierComputer scienceArtificial intelligenceTask (project management)Event (particle physics)ThumbPattern recognition (psychology)Data miningPsychologyEngineeringNeuroscienceMedicine
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Publication Info
- Year
- 1993
- Type
- article
- Volume
- 40
- Issue
- 1
- Pages
- 59-73
- Citations
- 46
- Access
- Closed
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Cite This
Gary E. Birch,
P.D. Lawrence,
Robert D. Hare
(1993).
Single-trial processing of event-related potentials using outlier information.
IEEE Transactions on Biomedical Engineering
, 40
(1)
, 59-73.
https://doi.org/10.1109/10.204772
Identifiers
- DOI
- 10.1109/10.204772