The estimation of 3D SAR distributions in the human head from mobile phone compliance testing data for epidemiological studies.
Wake K, Varsier N, Watanabe S, Taki M, Wiart J, Mann S, Deltour I, Cardis E. · 2009
View Original AbstractResearchers proposed a method to estimate 3D SAR distributions in the human head from mobile phone compliance testing data for epidemiological studies.
Plain English Summary
Compliance testing data are measured only on the surface near the device and in a small 3D region around the maximum on a homogeneous phantom. Validation confirmed the method provided good estimation of 3D SAR distribution in the head, especially in the brain. The method has been used in several studies in the INTERPHONE.
Why This Matters
The researchers concluded that 3D SAR distributions in a realistic head model can be estimated from compliance testing measurements for exposure assessment in epidemiological studies. Validation of the proposed method was performed experimentally and numerically.
Study Details
In this study, we proposed a method to estimate 3D distribution of the specific absorption rate (SAR) in the human head due to mobile phone use to provide the exposure gradient for epidemiological studies.
3D SAR distributions due to exposure to an electromagnetic field from mobile phones are estimated fr...
It was confirmed that the proposed method provided good estimation of 3D SAR distribution in the hea...
We conclude that it is possible to estimate 3D SAR distributions in a realistic head model from the data obtained by compliance testing measurements to provide a measure for the exposure gradient in specific locations of the brain for the purpose of exposure assessment in epidemiological studies. The proposed method has been used in several studies in the INTERPHONE.
Show BibTeX
@article{k_2009_the_estimation_of_3d_2672,
author = {Wake K and Varsier N and Watanabe S and Taki M and Wiart J and Mann S and Deltour I and Cardis E.},
title = {The estimation of 3D SAR distributions in the human head from mobile phone compliance testing data for epidemiological studies.},
year = {2009},
url = {https://pubmed.ncbi.nlm.nih.gov/19724098/},
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