The Effects of mmW and THz Radiation on Dry Eyes: A Finite-Difference Time-Domain (FDTD) Computational Simulation Using XFdtd.

5G radiation FDTD cornea electromagnetic bioeffects finite-difference time-domain

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
24 Jun 2023
Historique:
received: 08 05 2023
revised: 12 06 2023
accepted: 20 06 2023
medline: 17 7 2023
pubmed: 14 7 2023
entrez: 14 7 2023
Statut: epublish

Résumé

The importance of investigating the health effects of RF radiation on the cornea cannot be overstated. This study aimed to address this need by utilizing a mathematical simulation to examine the absorption of millimeter wave (mmW) and terahertz (THz) waves by the cornea, considering both normal and pathological conditions. The simulation incorporated variations in tear film thickness and hydration levels, as these factors play a crucial role in corneal health. To assess the impact of RF radiation on the cornea, the study calculated temperature rises, which indicate heating effects for both dry and normal eyes. XFdtd, a widely used commercial software based on the Finite-Difference Time Domain (FDTD) method, was employed to evaluate the radiation absorption and resulting temperature changes. The outcomes of this study demonstrated a crucial finding, i.e., that changes in the water ratio and thickness of the tear film, which are associated with an increased risk of dry eye syndrome, directly impact the absorption of mmW and THz waves by the cornea. This insight provides valuable evidence supporting the interconnection between tear film properties and the vulnerability of the cornea to RF radiation.

Identifiants

pubmed: 37447707
pii: s23135853
doi: 10.3390/s23135853
pmc: PMC10346439
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Health and Medical Research Council
ID : APP1042464)

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Auteurs

Negin Foroughimehr (N)

6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

Zoltan Vilagosh (Z)

6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

Ali Yavari (A)

6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

Andrew Wood (A)

6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia.

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Classifications MeSH