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Computer Based Techniques for Simulation of Electroencephalogram Signals with Applications to Artifact Processing |
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International Conference on Infomration System, Computer Engineering & Application ( ICISCEA 2011 ) |
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© 2011 by OLS Journal - ISSN No : 2091-
0266 |
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Number 1 |
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Year of Publication : December Issue , 2011 |
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Authors : B. S. Raghavendra and D. Narayana Dutt |
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Citation |
B. S. Raghavendra and D. Narayana Dutt :Computer Based Techniques for Simulation of Electroencephalogram Signals with Applications to Artifact Processing : OLS Journals Special Isssue onInfomration System, Computer Engineering & Application , 2011 , Published by : OLS Journals |
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Abstract |
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In this paper, a novel method for simulating electroencephalogram (EEG) signals is proposed using computer based techniques. Different EEG data have been generated using various blind source separation (BSS) algorithms. The BSS approaches are increasingly being used in computer processing of biomedical signals for the analysis of multivariate time series such as EEG. The proposed method is used to separate the measured EEG into source components. The method can provide both artifact-free data and data with ocular and muscle artifacts. The simulated EEG data is used in evaluating the performance of artifact processing of corrupted EEG signals. Using the simulated data, performance of the ocular artifact correction methods have been evaluated with spectral power as a measure. We have considered both second and higher order statistics based BSS methods for performance evaluation. In the ocular artifact correction, the performance of the BSS methods is enhanced by using wavelet filtering as a post-processing technique. The enhanced second order statistics based BSS methods have shown superior performance in correcting artifacts. Thus, the paper has demonstrated the efficacy of the proposed computer based simulation technique in the performance evaluation of artifact processing techniques. |
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References : |
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