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Content Provider | IEEE Xplore Digital Library |
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Author | Nagaoka, T. Watanabe, S. |
Copyright Year | 2009 |
Description | Author affiliation: National Institute of Information and Communications Technology 4-2-1 Nukuikita-machi, Koganei, Tokyo 184-8795, Japan (Nagaoka, T.; Watanabe, S.) |
Abstract | Recently, there has been an increasing concern regarding the effects of electromagnetic waves on the health of humans. The safety of radio frequency electromagnetic fields (RF-EMFs) is evaluated by the specific absorption rate (SAR). In recent years, SAR has been estimated by numerical simulation using fine-resolution and anatomically realistic reference whole-body voxel models of people of various ages. The variation in SAR with a change in the physical features of a real person is hardly studied, although every person has different physical features. In this study, in order to estimate the individual variability in SAR of persons, we obtained considerable 3D body shape data from actual three-year-old children and developed several homogeneous models of these children. The variability in SAR of the homogeneous models of three-year-old children for whole-body exposure to RF electromagnetic fields in the very high frequency (VHF) band calculated using the finite-difference time-domain method has been described. |
Starting Page | 942 |
Ending Page | 945 |
File Size | 540290 |
Page Count | 4 |
File Format | |
ISBN | 9781424432967 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2009.5333598 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-09-03 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Electromagnetic fields Radio frequency Pediatrics Electromagnetic scattering Humans Safety Specific absorption rate Numerical simulation Biological system modeling Shape |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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