Skip to main navigation Skip to search Skip to main content

Model Variability in Assessment of Human Exposure to Radiofrequency Fields

  • Akimasa Hirata*
  • , Ilkka Laakso
  • , Francesca Apollonio
  • , Sachiko Kodera
  • , Yoshiki Kubota
  • , Junqing Lan
  • , Kun Li
  • , Micaela Liberti
  • , Dragan Poljak
  • , Kensuke Sasaki
  • , Maxim Zhadobov
  • , Yinliang Diao
  • *Corresponding author for this work
  • Nagoya Institute of Technology
  • Sapienza University of Rome
  • Chengdu University of Information Technology
  • University of Electro-Communications
  • University of Split
  • National Institute of Information and Communications Technology
  • Université de Rennes 1
  • South China Agricultural University

Research output: Contribution to journalReview Articlepeer-review

4 Citations (Scopus)

Abstract

The recent advances in computational dosimetry for electromagnetics and thermodynamics are reviewed to assess human exposure to electromagnetic fields in the MHz-to-terahertz range. This review emphasizes model variability in computational dosimetry. Apart from computational electromagnetic methods and their usage, the developments in anatomical phantoms and tissue dielectric properties characterization are also surveyed. In addition, the rationale for dosimetric quantities prescribed in international exposure guidelines, such as the specific absorption rate (SAR) and absorbed power density, is revisited in relation to their correlation with local and core temperature rises in various tissues and populations. A heating factor, which is defined as a steady-state temperature rise per SAR, for the brain, eye lens, skin, and body core is evaluated to estimate heating resulting from exposure to electromagnetic fields. The transition of a physical quantity in the guidelines at 6 GHz, from SAR to the absorbed power density, is discussed along with the optimal spatial averaging volume and areas. Computational evaluations of product compliance, 5G devices, and wireless power transfer systems are also reviewed. This review aims to synthesize the current knowledge, identify key sources of computational model variability and uncertainty, and outline further research needs for setting exposure guidelines and compliance assessment.

Original languageEnglish
Number of pages17
JournalIEEE Journal of Microwaves
DOIs
Publication statusE-pub ahead of print - 2025
MoE publication typeA2 Review article, Literature review, Systematic review

Keywords

  • Biological effects of radiation
  • computational electromagnetics
  • dosimetry

Fingerprint

Dive into the research topics of 'Model Variability in Assessment of Human Exposure to Radiofrequency Fields'. Together they form a unique fingerprint.

Cite this