Statistical analysis of whole-body absorption depending on anatomical human characteristics at a frequency of 2.1 GHz

In this paper, we propose identification of the morphological factors that may impact the whole-body averaged specific absorption rate (WBSAR). This study is conducted for the case of exposure to a front plane wave at a 2100 MHz frequency carrier. This study is based on the development of different...

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Bibliographic Details
Published in:Physics in medicine & biology 2010-04, Vol.55 (7), p.1875-1887
Main Authors: Habachi, A El, Conil, E, Hadjem, A, Vazquez, E, Wong, M F, Gati, A, Fleury, G, Wiart, J
Format: Article
Language:English
Subjects:
Body Burden
Computer Science
Computer Simulation
Data Interpretation, Statistical
Engineering Sciences
Humans
Microwaves
Models, Anatomic
Models, Biological
Models, Statistical
Radiation Dosage
Signal and Image processing
Whole-Body Counting - methods
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Summary:In this paper, we propose identification of the morphological factors that may impact the whole-body averaged specific absorption rate (WBSAR). This study is conducted for the case of exposure to a front plane wave at a 2100 MHz frequency carrier. This study is based on the development of different regression models for estimating the WBSAR as a function of morphological factors. For this purpose, a database of 12 anatomical human models (phantoms) has been considered. Also, 18 supplementary phantoms obtained using the morphing technique were generated to build the required relation. This paper presents three models based on external morphological factors such as the body surface area, the body mass index or the body mass. These models show good results in estimating the WBSAR (
ISSN:0031-9155
1361-6560
DOI:10.1088/0031-9155/55/7/006