Multireference adaptive noise canceling applied to the EEG
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 00189294Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/10.605438
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|
|Page Range:||pp. 775-779|
|Access rights to Published version:||Restricted or Subscription Access|
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