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Adaptive Technique for the Minimization of EOG Artefacts from EEG Signals Using TDL Structure and Nonlinear, Estimation Model

Sadasivan, PK and Dutt, Narayana D (1991) Adaptive Technique for the Minimization of EOG Artefacts from EEG Signals Using TDL Structure and Nonlinear, Estimation Model. In: 1991 IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems. TENCON '91, 28-30 August, New Delhi,India, Vol.3, 251-255.

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Abstract

EEG records are often contaminated with extracerebral signals called artefacts and one of the main disturbances is due to eye movements which generate an electrical activity called EOG. In this paper, we use an adaptive noise cancellation scheme in a novel way for the minimization of the EOG artefacts from corrupted EEG signals. This method is based on the fact that the transfer function of the biological neuron can be modelled as a sigmoidal nonlinearity. Comparison of the time plots as also the smoothed linear prediction specta show that the proposed method effectively minimize the EOG artefacts from corrupted EEG signals.

Item Type: Conference Paper
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 Aug 2008
Last Modified: 19 Sep 2010 04:27
URI: http://eprints.iisc.ernet.in/id/eprint/6869

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