James, C. J., Hagan, M.T., Jones, R.D., Bones, P.J. and Carroll, G.J.. (1997) Multireference adaptive noise canceling applied to the EEG. IEEE Transactions on Biomedical Engineering, Vol. 44 (No. 8). pp. 775-779. ISSN 00189294

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Abstract

The technique of multireference adaptive noise canceling (MRANC) is applied to enhance transient nonstationarities in the electroencephalogram (EEG), with the adaptation implemented by means of a multilayer perceptron artificial neural network (ANN). The method was applied to recorded EEG segments and the performance on documented nonstationarities recorded. The results show that the neural network (nonlinear) gives an improvement in performance (i.e., signal-to-noise ratio (SNR) of the nonstationarities) compared to a linear implementation of MRANC. In both cases an improvement in the SNR was obtained. The advantage of the spatial filtering aspect of MRANC is highlighted when the performance of MRANC is compared to that of the inverse auto-regressive filtering of the EEG, a purely temporal filter.

Item Type:	Journal Article
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	IEEE Transactions on Biomedical Engineering
Publisher:	IEEE
ISSN:	00189294
Date:	1997
Volume:	Vol. 44
Number:	No. 8
Page Range:	pp. 775-779
Identification Number:	10.1109/10.605438
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/47672

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