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J Electromagn Eng Sci > Volume 16(2); 2016 > Article
Journal of Electromagnetic Engineering and Science 2016;16(2):87-99.
DOI: https://doi.org/10.5515/JKIEES.2016.16.2.87   
Numerical Implementation of Representative Mobile Phone Models for Epidemiological Studies
Ae-Kyoung Lee1, Yonghyun Yoon2, Sooyung Lee2, Byungje Lee2, Seon-Eui Hong1, Hyung-Do Choi1, Elisabeth Cardis3
1Radio Technology Research Department, Electronics and Telecommunications Research Institute (ETRI)
2Department of Wireless Communications Engineering, Kwangwoon University
3The Centre for Research in Environmental Epidemiology (CREAL)
Correspondence:  Ae-Kyoung Lee,Email: aklee@etri.re.kr
This paper describes an implementation method and the results of numerical mobile phone models representing real phone models that have been released on the Korean market since 2002. The aim is to estimate the electromagnetic absorption in the human brain for case-control studies to investigate health risks related to mobile phone use. Specific absorption rate (SAR) compliance test reports about commercial phone models were collected and classified in terms of elements such as the external body shape, the antenna, and the frequency band. The design criteria of a numerical phone model representing each type of phone group are as follows. The outer dimensions of the phone body are equal to the average dimensions of all commercial models with the same shape. The distance and direction of the maximum SAR from the earpiece and the area above -3 dB of the maximum SAR are fitted to achieve the average obtained by measuring the SAR distributions of the corresponding commercial models in a flat phantom. Spatial peak 1-g SAR values in the cheek and tilt positions against the specific anthropomorphic mannequin phantom agree with average data on all of the same type of commercial models. Second criterion was applied to only a few types of models because not many commercial models were available. The results show that, with the exception of one model, the implemented numerical phone models meet criteria within 30%.
Key words: Electromagnetic Absorption, Epidemiological Study, Human Head, Mobile Phone
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