An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field

The paper deals with the deterministic-stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field. Both analytical and numerical (Galerkin-Bubnov scheme of Boundary Element Method) deterministic solutions of the problem are outlined. This cont...

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Main Authors: Anna Šušnjara, Dragan Poljak
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2016/6153620
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author Anna Šušnjara
Dragan Poljak
author_facet Anna Šušnjara
Dragan Poljak
author_sort Anna Šušnjara
collection DOAJ
description The paper deals with the deterministic-stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field. Both analytical and numerical (Galerkin-Bubnov scheme of Boundary Element Method) deterministic solutions of the problem are outlined. This contribution introduces the new perspective of the problem: the variability inherent to input parameters, such as the height of the body, the shape of the body, and the conductivity of body tissue, is propagated to the output of interest (induced axial current). The stochastic approach is based on the stochastic collocation (SC) method. Computational examples show the mean trend of both analytically and numerically computed axial current with the confidence margins for different set of input random variables. The results point out the possibility of improving the efficiency in calculation of basic restriction parameter values in electromagnetic dosimetry.
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institution Kabale University
issn 1687-5869
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publishDate 2016-01-01
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series International Journal of Antennas and Propagation
spelling doaj-art-2cf004f60c7846eead1a3ec63376d1492025-02-03T00:59:53ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/61536206153620An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric FieldAnna Šušnjara0Dragan Poljak1Department of Electronics, University of Split, 21000 Split, CroatiaDepartment of Electronics, University of Split, 21000 Split, CroatiaThe paper deals with the deterministic-stochastic model of the human body represented as cylindrical antenna illuminated by a low frequency electric field. Both analytical and numerical (Galerkin-Bubnov scheme of Boundary Element Method) deterministic solutions of the problem are outlined. This contribution introduces the new perspective of the problem: the variability inherent to input parameters, such as the height of the body, the shape of the body, and the conductivity of body tissue, is propagated to the output of interest (induced axial current). The stochastic approach is based on the stochastic collocation (SC) method. Computational examples show the mean trend of both analytically and numerically computed axial current with the confidence margins for different set of input random variables. The results point out the possibility of improving the efficiency in calculation of basic restriction parameter values in electromagnetic dosimetry.http://dx.doi.org/10.1155/2016/6153620
spellingShingle Anna Šušnjara
Dragan Poljak
An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
International Journal of Antennas and Propagation
title An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
title_full An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
title_fullStr An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
title_full_unstemmed An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
title_short An Efficient Deterministic-Stochastic Model of the Human Body Exposed to ELF Electric Field
title_sort efficient deterministic stochastic model of the human body exposed to elf electric field
url http://dx.doi.org/10.1155/2016/6153620
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