Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki (Dec 2020)

Model of electromagnetic field effect on biological tissues.

  • Р. V. Kamlach,
  • D. S. Hroda,
  • A. V. Churakov,
  • V. I. Kamlach,
  • V. М. Bondarik,
  • S. I. Madveika,
  • A. P. Klyuev

DOI
https://doi.org/10.35596/1729-7648-2020-18-8-46-52
Journal volume & issue
Vol. 18, no. 8
pp. 46 – 52

Abstract

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The design of modern devices for extracorporeal magnetotherapy should be preceded by physical and mathematical modeling of all stages of the technology of the effect of magnetic fields on various types of body tissues, taking into account their dielectric properties. This is necessary to create an electromagnetic field with the necessary biotropic parameters. In this work, a mathematical model of the effect of electromagnetic field on biological tissues, such as muscles, skin and adipose tissue, is constructed. The mathematical model takes into account various parameters of biological tissue, such as electrical conductivity and relative dielectric constant. Based on the model, the parameters of the response in biological tissues (the amplitude of the response in the tissue and the maximum value of the current in the tissue) were calculated in the innovative Sim4Life 5.2 platform. To test the mathematical model, a laboratory model was used to measure the electrical characteristics of biological tissue. During the research, experiments were carried out with three biological samples: adipose tissue, muscle tissue and skin. The dependences of the response amplitude in biological samples on the output signal power are plotted. The results obtained characterize the use of the proposed operation algorithm in a complex based on the Sim4Life 5.2 platform and simulation of electromagnetic field with a biological object that is optimal for the creation and examination of technologies and devices for magnetotherapy and inductors of extracorporeal effects of magnetic field. This work will make it possible to familiarize a wider range of different experts with the capabilities of the platform not only for modeling new medical devices, but also for the examination of available and those already applied in healthcare.

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