ISSUE 181, article 6
DOI:https://doi.org/10.15407/kvt181.01.070
Kibern. vyčisl. teh., 2015, Issue 181, pp.
Kharkiv Medical Academy of Postgraduate Education, Kharkiv, Ukraine
B. Verkin Institute for Low Temperature Physics and Engineering of the National Academy of Sciences of Ukraine, Kharkiv
MULTIFRACTAL ANALYSIS IN THE STUDY OF BRAIN BIOELECTRIC ACTIVITY
Introduction. A summary electroencephalogram (EEG) is composed of superimposed slow waves. The EEG reflects sophisticated cortical-subcortical interactions and conceals activity of multiple neuronal systems; each of them is characterized by determined neurodynamics.
The purpose of work is to create a method of objective quantitative assessment of parameters of multifractal summary bioelectric activity (EEG); to study EEG multifractality in healthy volunteers, subjects in altered states of conscious and pathologic EEGs.
Results. For the qualitative estimation of the multifractality of the EEG signal, the use of multifractal spectrum width, which can serve as an indicator of altered and pathologic brain states, is proposed. The state of different brain areas can also be assessed according to the offset value of a singularity spectrum of the transposition between different states. Analysis of Hölder exponents can provide an exact diagnostic tool and allow substantial interpretation of different processes in the brain.
Keywords: EEG, summary brain bioelectric activity, multifractality, wavelet transform maximum modulus method, method of multifractal detrended fluctuation analysis, Hölder exponent.
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Received 27.03.2015