On the use of the boundary element analysis in bioelectromagnetics

Poljak, Dragan; Cavka, Damir; Dodig, Hrvoje; Peratta, Cristina; Peratta, A.

doi:10.1016/j.enganabound.2014.02.008

Cited by 31 publications

(38 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent advancements in LF dosimetry have been reported by a number of researchers, e.g., Chan et al [24], De Santis et al [25], Hirata et al [26], Dimbylow and Findlay [27], Laakso et al [28], Neufeld et al [29], Kuster [15], [30], and others, in addition to sensitivity analysis [6], [22], [31]. In most of the studies, uniform field exposure was considered.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Conformal Models and Methods in Dosimetry for Nonuniform Field Exposure

Poljak

Cvetković

Bottauscio

et al. 2018

IEEE Trans. Electromagn. Compat.

Self Cite

View full text Add to dashboard Cite

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, 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, 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 is presented qualitatively. Some remarks are given for the effectiveness and limitations of application of the various computational methods.

show abstract

Section: Introductionmentioning

confidence: 99%

On the Use of Conformal Models and Methods in Dosimetry for Nonuniform Field Exposure

Poljak

Cvetković

Bottauscio

et al. 2018

IEEE Trans. Electromagn. Compat.

Self Cite

View full text Add to dashboard Cite

show abstract

“…the time-harmonic electric field in the exterior domain is expressed by the following boundary integral equation [3]:…”

Section: Deterministic Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The assessment of HF exposure is based on the evaluation of specific absorption rate (SAR) distribution and related temperature rise in a tissue. As a measurement of fields induced in the body is not possible, human exposure assessment is carried out via sophisticated computational models [2][3][4][5]. Contrary to the simple canonical models used in the 60s and 70s (plane slab, cylinders, homogeneous and layered spheres and prolate spheroids [6]) modern realistic, anatomically based computational models comprising cubical cells are mostly related to the use of the Finite Difference Time Domain (FDTD) methods [7].…”

Section: Introductionmentioning

confidence: 99%

“…Contrary to the simple canonical models used in the 60s and 70s (plane slab, cylinders, homogeneous and layered spheres and prolate spheroids [6]) modern realistic, anatomically based computational models comprising cubical cells are mostly related to the use of the Finite Difference Time Domain (FDTD) methods [7]. The Finite Element Method (FEM) and Boundary Element Method (BEM) are generally used to a somewhat lesser extent [3,8].One of the significant difficulties arising in the area of computational bioelectromagnetics is the appreciable variation of the input parameter set, i.e. possible differences in individual size and age (morphology), or the general variability of permittivity and conductivity, due to difference in age or sex.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Deterministic-Stochastic Boundary Element Modeling of the Brain and Eye Exposed to High-Frequency Radiation

Poljak¹,

Dodig²,

Cvetković³

et al. 2017

Int. J. CMEM

View full text Add to dashboard Cite

The paper reviews the influence of the variability in the morphology and the tissue properties of the human brain and eye, respectively, exposed to high-frequency (HF) radiation. Deterministic-stochastic modeling enables one to estimate the effects of the parameter uncertainties on the maximum induced electric field and Specific Absorption Rate (SAR). Surface Integral Equation (SIE) scheme applied to the brain exposed to HF radiation and hybrid boundary element method (BEM)/finite element method (FEM) scheme used to handle the eye exposure to HF radiation are discussed.Furthermore, a simple stochastic collocation (SC), through which the relevant parameter uncertainties are taken into account, is presented. The SC approach also provides the assessment of corresponding confidence intervals in the set of obtained numerical results. The expansion of statistical output in terms of the mean and variance over a polynomial basis (via SC approach) is shown to be robust and efficient method providing a satisfactory convergence rate. Some illustrative numerical results for the maximum induced field and SAR in the brain and eye, respectively, are given in the paper, as well.Keywords: boundary integral equations, deterministic modeling, human exposure to electromagnetic fields, stochastic modeling. INTRODUCTIONHuman exposure to artificial electromagnetic fields has raised many questions regarding potential adverse effects [1], particularly for the brain and eye exposure to high-frequency (HF) radiation. The assessment of HF exposure is based on the evaluation of specific absorption rate (SAR) distribution and related temperature rise in a tissue. As a measurement of fields induced in the body is not possible, human exposure assessment is carried out via sophisticated computational models [2][3][4][5]. Contrary to the simple canonical models used in the 60s and 70s (plane slab, cylinders, homogeneous and layered spheres and prolate spheroids [6]) modern realistic, anatomically based computational models comprising cubical cells are mostly related to the use of the Finite Difference Time Domain (FDTD) methods [7]. The Finite Element Method (FEM) and Boundary Element Method (BEM) are generally used to a somewhat lesser extent [3,8].One of the significant difficulties arising in the area of computational bioelectromagnetics is the appreciable variation of the input parameter set, i.e. possible differences in individual size and age (morphology), or the general variability of permittivity and conductivity, due to difference in age or sex. The uncertainty of the input parameters set eventually leads to the

show abstract

Human Exposure to Electromagnetic Fields – General Aspects

2018

Computational Method in Electromagnetic Compatibility

View full text Add to dashboard Cite

On the use of the boundary element analysis in bioelectromagnetics

Cited by 31 publications

References 32 publications

On the Use of Conformal Models and Methods in Dosimetry for Nonuniform Field Exposure

On the Use of Conformal Models and Methods in Dosimetry for Nonuniform Field Exposure

Deterministic-Stochastic Boundary Element Modeling of the Brain and Eye Exposed to High-Frequency Radiation

Human Exposure to Electromagnetic Fields – General Aspects

Contact Info

Product

Resources

About