Absorbed Power in Human Head Skin Due to Near-Field, Exposure up to 100 GHz

作者

  • Fatih Kaburcuk Department of Electrical and Electronic Engineering, Sivas University of Science and Technology, Sivas 58000, Turkey https://orcid.org/0000-0002-7527-3850
  • Atef Z. Elsherbeni Department of Electrical Engineering, Colorado School of Mines, Golden 80401, USA https://orcid.org/0000-0002-8657-937X

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https://doi.org/10.13052/2026.ACES.J.410107

关键词:

Absorbed power density, electromagnetic dosimetry analysis, FDTD method, incident power density, millimeter wave exposure, planar head model

摘要

To prevent excessive skin temperature rise from overexposure due to near-field sources for frequencies from 6 to 300 GHz, international safety guidelines and standards for limiting exposure to electromagnetic (EM) waves introduce an incident power density (IPD) as an exposure reference limit and an absorbed power density (APD) as a basic restriction. At frequencies above 6 GHz, the penetration depth of EM waves in the human body model is particularly less, since EM wave penetration is more superficial in tissues. Therefore, the thickness of outermost tissues such as skin, which has different thicknesses in different realistic regions of a three-dimensional (3D) realistic human body, is a critical factor for the accuracy of EM dosimetry analysis. In this paper, the effect of skin thickness in a 3D planar head model on the spatially averaged APD over 1 cm2 and 4 cm2 areas due to near-field sources are investigated for the frequency range from 10 to 100 GHz. These investigations are performed using the finite-difference time-domain (FDTD) method considering different separation distances from the near-field source to the model of the skin surface. Numerical results show that skin thickness is the primary parameter in evaluating EM field exposure and the accuracy of EM dosimetry analysis.

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Fatih Kaburcuk received the M.Sc. and Ph.D. degrees in electrical engineering from Syracuse University, Syracuse, NY, USA, in 2011 and 2014, respectively. In 2014, he was a Visiting Research Scholar with the Department of Electrical Engineering at Colorado School of Mines, Golden, CO, USA. He joined Erzurum Technical University in 2015 and Sivas Cumhuriyet University in 2019. In August 2024, he joined the Department of Electrical and Electronics Engineering at Sivas University of Science and Technology, Sivas, Turkiye, where he is currently serving as a Full Professor. Dr. Kaburcuk is an Associate Editor of the Applied Computational Electromagnetics Society (ACES) Journal. His research interests include numerical methods in electromagnetics, biological effects of electromagnetic radiation, and finite-difference time-domain analysis of antennas and RF devices.

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Atef Z. Elsherbeni received his Ph.D. degree in Electrical Engineering from Manitoba University, Winnipeg, Manitoba, Canada, in 1987. He started his engineering career as a part time Software and System Design Engineer from March 1980 to December 1982 at the Automated Data System Center, Cairo, Egypt. From January to August 1987, he was a Post-Doctoral Fellow at Manitoba University. Elsherbeni joined the faculty at the University of Mississippi in August 1987 as an Assistant Professor of Electrical Engineering and progressed to the full professor and the Associate Dean of the College of Engineering for Research and Graduate Programs. He then joined the Electrical Engineering and Computer Science (EECS) Department at Colorado School of Mines in August 2013. Elsherbeni is an IEEE Life Fellow and ACES Fellow. He is the Editor-in-Chief for Applied Computational Electromagnetics Society (ACES) Journal, and a past Associate Editor to the Radio Science Journal. He was the Chair of the Engineering and Physics Division of the Mississippi Academy of Science, the Chair of the Educational Activity Committee for IEEE Region 3 Section, and the past President of ACES Society. He received the 2023 IEEE APS Harington-Mittra Award for his contribution to computational electromagnetics with hardware acceleration and the ACES 2025 Computational Electromagnetics Award.

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已出版

2026-01-30