On the use of Conformal Models and Methods in Dosimetry for Non-Uniform Field Exposure

Poljak, Dragan, Cvetković, Mario, Bottauscio, Oriano, Hirata, Akimasa, Laakso, Ilkka, Neufeld, Esra, Reboux, Sylvain, Warren, Craig, Giannopolous, Antonis and Costen, Fumie (2017) On the use of Conformal Models and Methods in Dosimetry for Non-Uniform Field Exposure. IEEE Transactions on Electromagnetic Compatibility. ISSN 0018-9375 (In Press)

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Official URL: http://dx.doi.org/10.1109/TEMC.2017.2723459

Abstract

Numerical artifacts affect the reliability of computational dosimetry of human exposure to low-frequency electromagnetic fields. In the guidelines of the International Commission of Non-Ionizing Radiation Protection (ICNIRP), a reduction factor of 3 was considered to take into account numerical uncertainties when determining the limit values for human exposure. However, the rationale for this value is unsure. The IEEE International Committee on Electromagnetic Safety has published a research agenda to resolve numerical uncertainties in low-frequency dosimetry. For this purpose, intercomparison of results computed using different methods by different research groups is important. In previous intercomparison studies for low-frequency exposures, only a few computational methods were used, and the computational scenario was limited to a uniform magnetic field exposure. This study presents an application of various numerical techniques used: different Finite Element Method (FEM) schemes, Method of Moments (MoM) and Boundary Element Method (BEM) variants and finally by using a hybrid FEM/BEM approach. As a computational example, the induced electric field in the brain by the coil used in transcranial magnetic stimulation is investigated. Intercomparison of the computational results are presented qualitatively. Some remarks are given for the effectiveness and limitations of application of the various computational methods.

Item Type: Article
Uncontrolled Keywords: Induced fields, low-frequency dosimetry, simplified brain model, sphere brain model, transcranial magnetic stimulation (TMS)
Subjects: C100 Biology
G600 Software Engineering
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Craig Warren
Date Deposited: 13 Jul 2017 13:47
Last Modified: 17 Sep 2017 03:50
URI: http://nrl.northumbria.ac.uk/id/eprint/31287

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