ID Number		1529
Study Type		Engineering & Physics
Model		900, 1800 MHz (GSM) exposure and weighted modeling to assign more accurate individual SAR values to mobile phone users
Details		Mobile phone users were evaluated to assess RF exposure using a technique of neural networking, involving a computer-assisted model making inferences based upon programmed input from weighted categories (i.e., input bias with scores from 0.1-1.0). Six factors for weighted assessment were 1) minutes of use per day, 2) total years of mobile phone use, 3) hands-free use, 4) retractable antenna, 5) maximal SAR of the phone, and 6) folding or brick phone model. The model contained 800 possible weighting combinations, and calculated ultimate SAR value using a MATLAB software program. The authors did not assign a weighting factor to rural vs. urban use or tilt of the phone as these were initially too complex to evaluate in this preliminary study. The authors speculate the approach might be of value in subsequent epidemiologic studies to more accurately assign individual exposures.
Findings		Not Applicable to Bioeffects
Status		Completed With Publication
Principal Investigator		Yonsei Univ. College Med., Seoul, Korea
Funding Agency		EMF Project, Korea
Country		KOREA, REPUBLIC OF
References		Kim, SC et al. Bioelectromagnetics, (2006) 27:440-444
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