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ARTIFICIAL NEURAL NETWORK BASED APPROACH TO EEG SIGNAL SIMULATION

University of Belgrade, The Mihailo Pupin Institute, Volgina 15, 11060 Belgrade, Serbia

School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, P. O. Box 3554, 11120 Belgrade, Serbia

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NATASA J. NESKOVIC

School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, P. O. Box 3554, 11120 Belgrade, Serbia

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https://doi.org/10.1142/S0129065712500086Cited by:15 (Source: Crossref)

Abstract

In this paper a new approach to the electroencephalogram (EEG) signal simulation based on the artificial neural networks (ANN) is proposed. The aim was to simulate the spontaneous human EEG background activity based solely on the experimentally acquired EEG data. Therefore, an EEG measurement campaign was conducted on a healthy awake adult in order to obtain an adequate ANN training data set. As demonstration of the performance of the ANN based approach, comparisons were made against autoregressive moving average (ARMA) filtering based method. Comprehensive quantitative and qualitative statistical analysis showed clearly that the EEG process obtained by the proposed method was in satisfactory agreement with the one obtained by measurements.

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