Extraction of motor related activity from single trial EEG

TitleExtraction of motor related activity from single trial EEG
Publication TypeConference Paper
Year of Publication1988
AuthorsBirch, G. E., P. D. Lawrence, and R. D. Hare
Conference NameEngineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE
Pagination1208 - 1209 vol.3
Date Publishednov.
Keywordsautoregressive models, cleaned signal, electroencephalography, generalized maximum-likelihood parameter estimation, motor related activity extraction, outlier detection theory, signal processing, single trial EEG, voluntary skilled thumb movement

A technique which utilizes outlier detection theory to extract event-related information from single-trial EEG is described. The technique uses generalized maximum-likelihood parameter estimation to provide robust autoregressive models of the EEG signal. These models are then used in a robust signal estimator to produce a cleaned version of the signal. The outlier content, the difference between the original and the cleaned signal, is then processed to yield event-related information. The technique was applied to EEG signals recorded during a voluntary skilled thumb movement. The results showed that consistent motor-related information can be obtained on a single-trial basis.


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