A fast tool for the parametric analysis of human body exposed to LF electromagnetic fields in biomedical applications

•A fast tool for analysing the EM fields interactions with biological tissues is presented.•Recent numerical advancements are exploited to solve large scale BioEM problems.•Large scale computational problems of potential biomedical interest are considered.•Peripheral nerve stimulation and human body...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine Vol. 214; p. 106543
Main Authors: Torchio, Riccardo, Arduino, Alessandro, Zilberti, Luca, Bottauscio, Oriano
Format: Journal Article
Language:English
Published: Ireland Elsevier B.V 01.02.2022
Subjects:
Bio-electromagnetism
Computational electromagnetics
Electricity
Electromagnetic (EM) analysis fast methods
Electromagnetic Fields
Human Body
Humans
Integral equations
Magnetic Resonance Imaging
Magnetic resonance imaging (MRI)
Uncertainty
Uncertainty quantification
Bio-electromagnetism
Magnetic resonance imaging (MRI)
Uncertainty quantification
Computational electromagnetics
Electromagnetic (EM) analysis fast methods
Integral equations
ISSN:0169-2607, 1872-7565, 1872-7565
Online Access:Get full text
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Summary:•A fast tool for analysing the EM fields interactions with biological tissues is presented.•Recent numerical advancements are exploited to solve large scale BioEM problems.•Large scale computational problems of potential biomedical interest are considered.•Peripheral nerve stimulation and human body exposure to EM fields are considered. A numerical procedure for analyzing electromagnetic (EM) fields interactions with biological tissues is presented. The proposed approach aims at drastically reducing the computational burden required by the repeated solution of large scale problems involving the interaction of the human body with EM fields, such as in the study of the time evolution of EM fields, uncertainty quantification, and inverse problems. The proposed volume integral equation (VIE), focused on low frequency applications, is a system of integral equations in terms of current density and scalar potential in the biological tissues excited by EM fields and/or electrodes connected to the human body. The proposed formulation requires the voxelization of the human body and takes advantage of the regularity of such discretization by speeding-up the computational procedure. Moreover, it exploits recent advancements in the solution of VIE by means of iterative preconditioned solvers and ad hoc parametric Model Order Reduction techniques. The efficiency of the proposed tool is demonstrated by applying it to a couple of realistic model problems: the assessment of the peripheral nerve stimulation, performed in terms of evaluation of the induced electric field, due to the gradient coils of a magnetic resonance imaging scanner during a clinical examination and the assessment of the exposure to environmental fields at 50 Hz of live-line workers with uncertain properties of the biological tissues. Thanks to the proposed method, uncertainty quantification analyses and time domain simulations are possible even for large scale problems and they can be performed on standard computers and reasonable computation time. Sample implementation of the method is made publicly available at https://github.com/UniPD-DII-ETCOMP/BioMOR.
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ISSN:0169-2607
1872-7565
1872-7565
DOI:10.1016/j.cmpb.2021.106543