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Pruned Neural Network for Artifact Reduction in EEG Signal

Sreenivas, TV and Unnikrishnan, VS and Dutt, Narayana D (1991) Pruned Neural Network for Artifact Reduction in EEG Signal. In: 1991 Proceedings of the Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, 31st October - 3rd November, Orlando,Florida,U.S.A, Vol.13, 1411-1412.


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Artificial neural networks are promissing for separating signals from interference. However, their success depends on the amount of training data and network complexity which is prohibitively high. Pruned neural networks (PNN) are explored in this paper for the specific problem of separating artifacts from EEG signals. It is shown that PNN provides better performance than the fully interconnected network of similar complexity.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright 1990 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.
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 25 May 2006
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ac.in/id/eprint/6926

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