Near-field radiofrequency electromagnetic exposure assessment.

Nina Rubtsova, Sergey Perov, Olga Belaya, Niels Kuster, Quirino Balzano
Author Information
  1. Nina Rubtsova: a Federal State Budgetary Scientific Institution, Research Institute of Occupational Health , Moscow , Russian Federation .
  2. Sergey Perov: a Federal State Budgetary Scientific Institution, Research Institute of Occupational Health , Moscow , Russian Federation .
  3. Olga Belaya: a Federal State Budgetary Scientific Institution, Research Institute of Occupational Health , Moscow , Russian Federation .
  4. Niels Kuster: b Foundation for Research on Information Technologies in Society , Zurich , Switzerland , and.
  5. Quirino Balzano: c Department of Electrical and Computer Engineering , University of Maryland , MD , USA.

Abstract

Personal wireless telecommunication devices, such as radiofrequency (RF) electromagnetic field (EMF) sources operated in vicinity of human body, have possible adverse health effects. Therefore, the correct EMF assessment is necessary in their near field. According to international near-field measurement criteria, the specific absorption rate (SAR) is used for absorbed energy distribution assessment in tissue simulating liquid phantoms. The aim of this investigation is to validate the relationship between the H-field of incident EMF and absorbed energy in phantoms. Three typical wireless telecommunication system frequencies are considered (900, 1800 and 2450 MHz). The EMF source at each frequency is an appropriate half-wave dipole antenna and the absorbing medium is a flat phantom filled with the suitable tissue simulating liquid. Two methods for SAR estimation have been used: standard procedure based on E-field measured in tissue simulating medium and a proposed evaluation by measuring the incident H-field. Compared SAR estimations were performed for various distances between sources and phantom. Also, these research data were compared with simulation results, obtained by using finite-difference time-domain method. The acquired data help to determine the source near-field space characterized by the smallest deviation between SAR estimation methods. So, this region near the RF source is suitable for correct RF energy absorption assessment using the magnetic component of the RF fields.

Keywords

MeSH Term

Absorption, Radiation
Electromagnetic Fields
Environmental Exposure
Humans
Radio Waves

Word Cloud

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