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Software designed to digitize transitional characteristics when conducting bioimpedance studies on a biological object
Author(s) -
Р. А. Томакова,
V I Tomakov,
N. A. Korsynskiy,
I S Egorov
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2060/1/012002
Subject(s) - biomaterial , dissipative system , amplitude , computer science , electrical impedance , biomedical engineering , acoustics , physics , engineering , electrical engineering , optics , quantum mechanics
The essence of the article is to develop a method for the formation of descriptors intended for neural networking classifiers of medical risks based on the analysis of transition processes in the biomaterial in the in vivo experiment. The essence of the proposed method is to form the test effects of the probing current on the anatomical areas with anomalous electrical conductivity and obtaining the amplitude-phase-frequency characteristics of the impedance of the biomaterial to which the test effect was carried out. The coordinates of the Cowla’s graphic were used as descriptors. Cowla’s graphic was obtained on the basis of the conversion of Carson counts of the transition process in a quadrupole, the element of which is the impedance of the studied biomaterial. A sequence of unipolar rectangular pulses was supplied to the inlet of the quadrupole. It is shown that the linear model of the biomaterial impedance allows you to obtain descriptors based on its amplitude-phase-frequency characteristics, taking into account the dissipative properties of the biomaterial. The receipt of the Cowla’s graphic model with its dissipative properties, allows you to build medical risk classifiers for socially significant diseases.

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