Definition of the Instantaneous Frequency of an Electroencephalogram Using the Hilbert Transform
Advances in Bioscience and Bioengineering
Volume 4, Issue 5, October 2016, Pages: 43-50
Received: Jul. 11, 2016;
Accepted: Aug. 5, 2016;
Published: Aug. 31, 2016
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Kharchenko Okcana, Physics and Technology Institute of Plasma Electronics and New Methods of Acceleration, National Science Center Kharkov Institute, Kharkiv, Ukraine
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Application of methods of signal processing used in radioengineering for electroencephalograms (EEG) provides to increase the information content of the analysis and medical diagnostic quality. In this paper the method of EEG analysis based on the Hilbert transform are considered. Comparing results analysis with the Fourier transform (FT) and wavelet transform (WT) is carried out. Using the Hilbert transform for calculations, the analysis data on the informative parameters of EEG of healthy persons and those of epileptic patients were obtained. The calculated time dependences of the total phase and instantaneous frequency are presented on the diagrams. It is shown that application of the Hilbert transform provides an evident and simple interpretation of EEG diagnostics results. The phase-frequency method of EEG analysis gives an opportunity to track the dynamics of EEG change, to numerically characterize the duration and variation of the basic physiological rhythms, and, also, to observe the frequency change in time within the limits of each rhythm.
Electroencephalogram, Hilbert Transform, Instantaneous Frequency, EEG Rhythms
To cite this article
Definition of the Instantaneous Frequency of an Electroencephalogram Using the Hilbert Transform, Advances in Bioscience and Bioengineering.
Vol. 4, No. 5,
2016, pp. 43-50.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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