Literature DB >> 17671350

FDTD analysis of human body-core temperature elevation due to RF far-field energy prescribed in the ICNIRP guidelines.

Akimasa Hirata1, Takayuki Asano, Osamu Fujiwara.   

Abstract

This study investigated the relationship between the specific absorption rate and temperature elevation in an anatomically-based model named NORMAN for exposure to radio-frequency far fields in the ICNIRP guidelines (1998 Health Phys. 74 494-522). The finite-difference time-domain method is used for analyzing the electromagnetic absorption and temperature elevation in NORMAN. In order to consider the variability of human thermoregulation, parameters for sweating are derived and incorporated into a conventional sweating formula. First, we investigated the effect of blood temperature variation modeling on body-core temperature. The computational results show that the modeling of blood temperature variation was the dominant factor influencing the body-core temperature. This is because the temperature in the inner tissues is elevated via the circulation of blood whose temperature was elevated due to EM absorption. Even at different frequencies, the body-core temperature elevation at an identical whole-body average specific absorption rate (SAR) was almost the same, suggesting the effectiveness of the whole-body average SAR as a measure in the ICNIRP guidelines. Next, we discussed the effect of sweating on the temperature elevation and thermal time constant of blood. The variability of temperature elevation caused by the sweating rate was found to be 30%. The blood temperature elevation at the basic restriction in the ICNIRP guidelines of 0.4 W kg(-1) is 0.25 degrees C even for a low sweating rate. The thermal time constant of blood temperature elevation was 23 min and 52 min for a man with a lower and a higher sweating rate, respectively, which is longer than the average time of the SAR in the ICNIRP guidelines. Thus, the whole-body average SAR required for blood temperature elevation of 1 degrees C was 4.5 W kg(-1) in the model of a human with the lower sweating coefficients for 60 min exposure. From a comparison of this value with the basic restriction in the ICNIRP guidelines of 0.4 W kg(-1), the safety factor was 11.

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Year:  2007        PMID: 17671350     DOI: 10.1088/0031-9155/52/16/020

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

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2.  Investigation of Factors Affecting Body Temperature Changes During Routine Clinical Head Magnetic Resonance Imaging.

Authors:  Myeong Seong Kim
Journal:  Iran J Radiol       Date:  2016-07-04       Impact factor: 0.212

3.  Temperature elevation in the human brain and skin with thermoregulation during exposure to RF energy.

Authors:  Sachiko Kodera; Jose Gomez-Tames; Akimasa Hirata
Journal:  Biomed Eng Online       Date:  2018-01-08       Impact factor: 2.819

4.  Multiphysics and Thermal Response Models to Improve Accuracy of Local Temperature Estimation in Rat Cortex under Microwave Exposure.

Authors:  Sachiko Kodera; Jose Gomez-Tames; Akimasa Hirata; Hiroshi Masuda; Takuji Arima; Soichi Watanabe
Journal:  Int J Environ Res Public Health       Date:  2017-03-30       Impact factor: 3.390

5.  Radiofrequency Electromagnetic Field Exposure and the Resting EEG: Exploring the Thermal Mechanism Hypothesis.

Authors:  Sarah P Loughran; Adam Verrender; Anna Dalecki; Catriona A Burdon; Kyoko Tagami; Joonhee Park; Nigel A S Taylor; Rodney J Croft
Journal:  Int J Environ Res Public Health       Date:  2019-04-28       Impact factor: 3.390

6.  Radio-frequency exposure of the yellow fever mosquito (A. aegypti) from 2 to 240 GHz.

Authors:  Eline De Borre; Wout Joseph; Reza Aminzadeh; Pie Müller; Matthieu N Boone; Iván Josipovic; Sina Hashemizadeh; Niels Kuster; Sven Kühn; Arno Thielens
Journal:  PLoS Comput Biol       Date:  2021-10-28       Impact factor: 4.475

7.  Evaluation of specific absorption rate and heating in children exposed to a 7T MRI head coil.

Authors:  Shaihan J Malik; Jeffrey W Hand; David W Carmichael; Joseph V Hajnal
Journal:  Magn Reson Med       Date:  2022-06-06       Impact factor: 3.737

8.  Comparison of Thermal Response for RF Exposure in Human and Rat Models.

Authors:  Sachiko Kodera; Akimasa Hirata
Journal:  Int J Environ Res Public Health       Date:  2018-10-22       Impact factor: 3.390

  8 in total

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