The numerical computation of local electromagnetic absorption at points within the human tissue is proposed by avoiding the mesh generation in the problem domain. Recently, meshless numerical methods have been introduced as an alter- native computational approach to mesh based methods. This is an important feature to generate competitive procedure able to provide final evaluations for large data amounts in real time. In this paper the smoothed particle hydrodynamics method is considered to compute the electromagnetic absorption. First experiments are performed in two dimension at single frequencies by considering incident TM plane wave on 2D cylinder simulating a simplified model of human torso. Changes on tissue electrical properties are considered assessing the numerical approach.
Francomano, E., Ala, G., Millunzi, M., Paliaga, M. (2020). An advanced numerical treatment of EM absorption in human tissue. In An advanced numerical treatment of EM absorption in human tissue (pp. 439-442) [10.1109/MELECON48756.2020.9140687].
An advanced numerical treatment of EM absorption in human tissue
Francomano, Elisa
Membro del Collaboration Group
;Ala, GuidoMembro del Collaboration Group
;Paliaga, MartaMembro del Collaboration Group
2020-01-01
Abstract
The numerical computation of local electromagnetic absorption at points within the human tissue is proposed by avoiding the mesh generation in the problem domain. Recently, meshless numerical methods have been introduced as an alter- native computational approach to mesh based methods. This is an important feature to generate competitive procedure able to provide final evaluations for large data amounts in real time. In this paper the smoothed particle hydrodynamics method is considered to compute the electromagnetic absorption. First experiments are performed in two dimension at single frequencies by considering incident TM plane wave on 2D cylinder simulating a simplified model of human torso. Changes on tissue electrical properties are considered assessing the numerical approach.File | Dimensione | Formato | |
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