Biological dispersion in the time domain using finite element method software.

Autor: Guedert R; Department of Electrical and Electronic Engineering, Centre of Technology, Institute of Biomedical Engineering, Federal University of Santa Catarina, Florianopolis, 88040-900, Brazil. raulguedert@gmail.com., Andrade DLLS; Department of Electrical and Electronic Engineering, Centre of Technology, Institute of Biomedical Engineering, Federal University of Santa Catarina, Florianopolis, 88040-900, Brazil., Pintarelli GB; Department of Control, Automation and Computer Engineering, Federal University of Santa Catarina, Blumenau, 89036-256, Brazil., Suzuki DOH; Department of Electrical and Electronic Engineering, Centre of Technology, Institute of Biomedical Engineering, Federal University of Santa Catarina, Florianopolis, 88040-900, Brazil.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Dec 18; Vol. 13 (1), pp. 22868. Date of Electronic Publication: 2023 Dec 18.
DOI: 10.1038/s41598-023-49828-1
Abstrakt: Biological tissue exhibits a strong dielectric dispersion from DC to GHz. Implementing biological dispersion in the time domain with commercial finite element method software could help improve engineering analysis of electrical transient phenomena. This article describes the steps required to implement time-domain biological dispersion with commercial finite element method software. The study begins with the presentation of a genetic algorithm to fit the experimental dispersion curve of Solanum tuberosum (potato tuber) to multipoles of first-order Debye dispersion. The results show that it is possible to represent the biological dispersion of S. tuberosum from 40 Hz to 10 MHz in a 4-pole Debye dispersion. Then, a set of auxiliary differential equations is used to transform the multipole Debye dispersion from the frequency domain to the time domain. The equations are implemented in the commercial software COMSOL Multiphysics. A comparison between the frequency and time domain simulations was used to validate the method. An analysis of the electric current with square-wave pulsed voltage was performed. We found that the computer implementation proposed in this work can describe the biological dispersion and predict the electric current.
(© 2023. The Author(s).)
Databáze: MEDLINE
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