DocumentCode :
1428257
Title :
Stochastic Uncertainty Quantification of Eddy Currents in the Human Body by Polynomial Chaos Decomposition
Author :
Gaignaire, Roman ; Scorretti, Riccardo ; Sabariego, Ruth V. ; Geuzaine, Christophe
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci. (ACE), Univ. of Liege, Liege, Belgium
Volume :
48
Issue :
2
fYear :
2012
Firstpage :
451
Lastpage :
454
Abstract :
The finite element method can be used to compute the electromagnetic fields induced in the human body by environmental extremely low frequency (ELF) fields. However, the electric properties of tissues are not precisely known and may vary depending on the individual, his/her age and other physiological parameters. In this paper, we account for the uncertainties on the conductivities of the brain tissues and spread them out to the induced fields by means of a nonintrusive approach based on Hermite polynomial chaos, with the finite element method as a black box. After showing the convergence of the method, we compute the probability to be over the thresholds defined by the international guidelines for limiting exposure to electromagnetic fields published by ICNIRP.
Keywords :
bioelectric phenomena; biological tissues; brain; convergence of numerical methods; eddy currents; finite element analysis; polynomials; stochastic systems; Hermite polynomial chaos; ICNIRP; black box; brain tissues; convergence method; eddy currents; electric properties; environmental extremely low frequency fields; finite element method; polynomial chaos decomposition; stochastic uncertainty quantification; Biological system modeling; Chaos; Computational modeling; Conductivity; Dielectrics; Polynomials; Uncertainty; Nonintrusive methods; polynomial chaos decomposition; stochastic methods;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2011.2171925
Filename :
6136623
Link To Document :
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