Title | Extraction of motor related activity from single trial EEG |
Publication Type | Conference Paper |
Year of Publication | 1988 |
Authors | Birch, G. E., P. D. Lawrence, and R. D. Hare |
Conference Name | Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE |
Pagination | 1208 - 1209 vol.3 |
Date Published | nov. |
Keywords | autoregressive 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 |
Abstract | 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. |
URL | http://dx.doi.org/10.1109/IEMBS.1988.94877 |
DOI | 10.1109/IEMBS.1988.94877 |