EGG SIGNAL ANALYSIS BASED ON PSEUDO WIGNER-VILLE DISTRIBUTION
Науковий журнал «Радіоелектроніка, інформатика, управління»
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EGG SIGNAL ANALYSIS BASED ON PSEUDO WIGNER-VILLE DISTRIBUTION |
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Savkov, O. O.; Computational Mathematics Department of I. I. Mechnikov Odessa National University, Ukraine Moroz, V. V.; Computational Mathematics Department of I. I. Mechnikov Odessa National University, Ukraine |
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EEG signal, time-frequency analysis, short-time Fourier transform, Wigner-Ville distribution. |
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The problem of selection of electroencephalographic rhythms and epileptiform activity search was investigated. The object of study is the<br />process of extracting the EEG phenomena. The subject of study is time-frequency analysis methods of EEG signals. The purpose of the work is to improve the accuracy of diagnosis of psychological, psycho-somatic, neurotic and cognitive disorders. A review of electroencephalographic process and EEG artifacts was given. Types of EEG rhythms and phenomena, that have specific timefrequency characteristics, were considered. A method for electroencephalographic phenomena selection that is based on the extreme values analysis of spectral density function of smoothed pseudo Wigner-Ville distribution was proposed. Proposed method was compared with the short-time Fourier transform. As a quality criteria for analyzed methods was chosen the time-frequency resolution of obtained spectral density functions. Computational experiments on EEG epochs set that contains high-frequency phenomena were made. Software that automates EEG<br />analysis process and builds results visualization was developed.<br />The experimental results show the advantages of this approach in the time-frequency resolution compared with short-time Fourier transform, and allow to recommend the proposed method for practical use for EEG rhythms separation and high-frequency phenomena selection. |
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Zaporizhzhya National Technical University 2015-06-23 10:32:00 |
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application/pdf http://ric.zntu.edu.ua/article/view/45055 |
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Radio Electronics, Computer Science, Control; No 1 (2015): Radio Electronics, Computer Science, Control |
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uk |
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Copyright (c) 2015 O. O. Savkov, V. V. Moroz |
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