UDC 004.9
ANALYSIS OF FREQUENCY DEPENDENCIES OF DIELECTRIC PROPERTIES OF HOMOGENEOUS AND HETEROGENEOUS BODIES BASED ON STATISTICAL METRICS
A. Yu. Komarov, Bachelor student, Department of Information and Computing Systems, Penza State
University, Penza, Russia;
orcid/0009-0003-2138-8876, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
A. V. Kuzmin, Dr. in technical sciences, Associate professor, head of Department of Information and
Computing Systems, Penza State University, Penza, Russia;;
orcid/0000-0001-6879-2006, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. A. Baranov, Dr. in technical sciences, Associate Professor, Associate Professor at Department of
Information and Instrumentation Techniques and Metrology, Penza State University, Penza, Russia;
orcid/0000-0003-1451-6553, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. V. Drozhdin, PhD (in technical sciences), Associate Professor, Associate Professor at Department of
Information and Computing Systems, Penza State University, Penza, Russia;
orcid/0000-0003-2142-6521, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Dielectric impedance spectroscopy is used to study the electrical properties of biological and model environments and has high potential for diagnosing structural inhomogeneities. This paper presents a comparative analysis of logarithmic frequency dependences of active and reactive components of homogeneous and inhomogeneous bodies impedance using a combination of statistical and integral metrics. The initial data
were obtained in the frequency range of 20 Hz – 2 MHz; three repeated measurements were performed for
each frequency value. The initial data were logarithmized for ease of display. To assess variability, sample
standard deviation, root-mean-square deviation, relative deviation, and range were used, as well as their
integral frequency indices, maximum and minimum values, and dispersion along frequency axis. The authors
established that structural heterogeneity leads to a more than twofold increase in integral variability indicators
of active component and a multiple increase in frequency metrics dispersion. For reactive component, a
decrease in intra-series variability is observed while maintaining inter-object spectral divergence. The main
contribution to the variability between objects occurs in low-frequency region. The integrated use of statistical
metrics and integral indicators enables a quantitative assessment of the degree of structural heterogeneity
as well as identification of most informative frequency ranges for impedance diagnostics.
Key words: dielectric impedance spectroscopy, statistical metric, integral assessment, variability, dielectric
parameter, frequency range, bioimpedance