No abstract

Abstract. In the recent years, the task of estimating the currents induced within the human body by environmental electromagnetic fields has received increased attention from scientists around the world. While important progress was made in this direction, the unpredictable behaviour of living biological tissue made it difficult to quantify its reaction to electromagnetic fields and has kept the problem open. A successful alternative to the very difficult one of performing measurements is that of computing the fields within a human body model using numerical methods implemented in a software code. One of the difficulties is represented by the fact that some tissue types exhibit an anisotropic character with respect to their dielectric properties. Our work consists of computing currents induced by extremely low frequency (ELF) electric fields in anisotropic muscle tissues using in this respect, a human body model extended with muscle fibre orientations as well as an extended version of the Finite Integration Technique (FIT) able to compute fully anisotropic dielectric properties.

No abstract

In the last years, worldwide scientific communities working in the area of computational biology and medicine have shown an increasing interest to the problem of computation of electromagnetic fields in the human body and safety aspects of human exposure to RF radiation. In this paper we investigate the influence of the frequency of mobile phones upon the electromagnetic energy absorption in tissues and express it as specific absorption rate (SAR) calculated with an algorithm based on Finite Integration Technique for a mobile phone excited with two different frequencies: 900 MHz and 1800 MHz. A three-dimensional human model based on anatomical data, which describes the conductivity distribution in the human body, is used in these simulations.

No abstract