Spatio-Temporal Filtering of the EEG via Neural Network Based Multireference Adaptive Noise Cancelling

dc.contributor.authorJames, C.J.
dc.contributor.authorHagen, M.T.
dc.contributor.authorJones, R.D.
dc.contributor.authorBones, P.J.
dc.contributor.authorCarroll, G.J.
dc.description.abstractA system is proposed which enhances transient nonstationarities and, in particular, epileptiform discharges in the EEG. It is based around the technique of multireference adaptive noise cancelling (MRANC) which attenuates the background EEG on a primary channel by using spatial and temporal information from adjacent channels in the multichannel EEG recording. This process has been implemented by means of a 3-layer perceptron artificial neural network trained by a backpropagation algorithm. System performance was measured as the percentage increase in signal-to-noise ratio (SNR) of predetermined epileptiform discharges in recorded EEG segments. The results obtained show that, due to the nonlinear nature of the artificial neural network, the improvement in SNR is significant when compared to the performance of MRANC utilising a linear model. MRANC is proposed as the first stage of a neural network based multi-stage system to detect epileptiform discharges in the interictal EEG for the diagnosis of epilepsy.en
dc.identifier.citationJames, C.J., Hagen, M.T., Jones, R.D., Bones,, P.J., Carroll, G.J. (1996) Spatio-Temporal Filtering of the EEG via Neural Network Based Multireference Adaptive Noise Cancelling. Amsterdam, Netherlands: 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,, 1996.en
dc.publisherUniversity of Canterbury. Electrical and Computer Engineeringen
dc.publisherUniversity of Canterbury. Communication Disordersen
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.subject.marsdenFields of Research::290000 Engineering and Technology::290900 Electrical and Electronic Engineering::290901 Electrical engineeringen
dc.subject.marsdenFields of Research::320000 Medical and Health Sciences::320700 Neurosciencesen
dc.titleSpatio-Temporal Filtering of the EEG via Neural Network Based Multireference Adaptive Noise Cancellingen
dc.typeConference Contributions - Published
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