Stochastic Sensitivity in Homogeneous Electromagnetic-Thermal Dosimetry Model of Human Brain

Authors

  • Mario Cvetkovic 1 FESB, University of Split, Split, Croatia
  • Sébastien Lalléchère Institut Pascal, Université Blaise Pascal, Clermont-Ferrand, France
  • Khalil El Khamlichi Drissi Institut Pascal, Université Blaise Pascal, Clermont-Ferrand, France
  • Pierre Bonnet Institut Pascal, Université Blaise Pascal, Clermont-Ferrand, France
  • Dragan Poljak FESB, University of Split, Split, Croatia

Keywords:

Bioelectromagnetism, electromagneticthermal model, sensitivity analysis, statistical dosimetry, stochastic collocation, surface integral equation approach

Abstract

In this work we examined how the variability in the brain morphology and the tissue properties affect the assessment of the homogeneous human brain exposed to high frequency electromagnetic (EM) field. Using the deterministic EM-thermal modeling and the stochastic theoretical basis we have studied the effects of these uncertainties on the maximum induced electric field, maximum local Specific Absorption Rate (SAR), average SAR, maximum temperature and the maximum temperature increase, respectively. The results show a good convergence of stochastic technique and an assessment of mean and variance of outputs for the incident plane wave of 900 MHz.

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Published

2021-08-18

How to Cite

[1]
M. . Cvetkovic, S. . Lalléchère, K. E. K. . Drissi, P. . Bonnet, and D. . Poljak, “Stochastic Sensitivity in Homogeneous Electromagnetic-Thermal Dosimetry Model of Human Brain”, ACES Journal, vol. 31, no. 06, pp. 644–652, Aug. 2021.

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