Biological effect of SAR on the human head due to variation of dielectric properties at 1800 and 2450 MHz with different antenna substrate materials
Source abstract
Abstract
Abstract The aim of this study was to consider a possible discrepancy in electromagnetic (EM) absorption in the human head. The finite-difference time-domain (FDTD) method with the lossy Drude model was adopted in this study. Here, the permittivity and conductivity of all head tissues were increased from 10% to 20% except when not using the same exposure conditions. Recognizable mobile phone frequencies of 1800 and 2450 MHz were studied in this simulation. The increase of up to 20% in conductivity and permittivity and varied substrate material always caused an EM absorption variation of 32.59% for specific absorption rate (SAR) 1 g and 35.25% for SAR 10 g at 1800 MHz, and variation of 20.37% for SAR 1 g and 17.99% for SAR 10 g at 2450 MHz, respectively.
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Research context
OpenAlex topics: Wireless Body Area Networks · Electromagnetic Fields and Biological Effects · Microwave Imaging and Scattering Analysis
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Affiliations
Institute of Space Science (ANGKASA), Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia
References (21)
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1. IEEE C95.1-2005. Institute of Electrical and Electronics Engineers, Inc.: New York, 2005.
2. International Commission on Non-Ionizing Radiation Protection. Health Phys. 1998, 54, 119–123.
3. Gabriel C. Armstrong Laboratory (AFMC), Radiofrequency Radiation Division: Brooks AFB, TX. Available at http://www.brooks.af.mil/AFRL/HED/hedr/reports/handbook/home.html, December, 2002 TEH.
4. Islam MT, Faruque MRI, Misran N. Prog. Electromagn. Res. 2009, 98, 191–205.10.2528/PIER09082902 ↗
5. Islam MT, Faruque MRI, Misran N. IEICE Electron. Express 2010, 7, 240–246.10.1587/elex.7.24010.1587/elex.7.240 ↗
6. Faruque MRI, Islam MT, Misran N. Informacije MIDEM 2010, 40, 232–237.
7. Faruque MRI, Islam MT, Misran N. Appl. Computat. Electromagn. Soc. J. 2010, 25, 1097–1107.
8. Faruque MRI, Islam MT, Misran N. Med. Eng. Phys. 2011, 33, 646–652.10.1016/j.medengphy.2010.12.004 ↗
9. Faruque MRI, Islam MT, Misran N. Electromagn. J. 2011, 31, 215–232.10.1080/02726343.2011.558457 ↗
10. Husni NA, Faruque MRI, Islam MT, Misran N, Mohamed NAN. Sci. Eng. Compos. Mater. 2012, 19, 271–277.10.1515/secm-2012-0024 ↗
11. Faruque MRI, Islam MT, Misran N. Frequenz 2010, 64, 144–149.10.1515/FREQ.2010.64.7-8.14410.1002/lemi.201290021 ↗
12. Virtanen H, Keshvari J, Lappalainen R. Phys. Med. Biol. 2007, 52, 1221–1236.10.1088/0031-9155/52/5/001 ↗
13. Keshvari J, Keshvari R, Lang S. Phys. Med. Biol. 2006, 51, 1463–1477.10.1088/0031-9155/51/6/007 ↗
14. Kang G., Gandhi OP. IEEE Trans. Electromagn. Compat. 2004, 46, 268–274.10.1109/TEMC.2004.826875 ↗
15. Gabriel S, Lau RW, Gabriel C. Phys. Med. Biol. 1996, 41, 2251–2269.10.1088/0031-9155/41/11/002 ↗
16. Xu LS, Meng MQH, Chan YW. IEEE Trans. Biomed. Eng. 2009, 56, 2083–2094.10.1109/TBME.2009.2021157 ↗
17. Wang JQ, Fujiwara O, Watanabe S. IEEE Trans. Electromagn. Compat. 2006, 48, 408–413.10.1109/TEMC.2006.874085 ↗
18. Stuchly MA, Stuchly SS. J. Microwave Power 1980, 15, 19–26.10.1080/16070658.1980.1168918110.1080/16070658.1980.11689181 ↗
19. Faruque MRI, Islam MT, Misran N. Prog. Electromagn. Res. 2012, 119–135.10.2528/PIER1111230110.2528/PIER11112301 ↗
20. Faruque MRI, Islam MT, Misran N. Frequenz 2012, 66, 79–83.10.1515/freq-2012-002010.1515/freq-2012-0020 ↗
21. Faruque MRI, Islam MT, Mohamed NAN. Sci. Eng. Compos. Mater. 2014, 21, 79–85.10.1515/secm-2013-0044 ↗