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Korkmaz E, Aerts S, Coesoij R, Bhatt CR, Velghe M, Colussi L, Land D, Petroulakis N, Spirito M, Bolte J. A comprehensive review of 5G NR RF-EMF exposure assessment technologies: fundamentals, advancements, challenges, niches, and implications. ENVIRONMENTAL RESEARCH 2024; 260:119524. [PMID: 38972338 DOI: 10.1016/j.envres.2024.119524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/16/2024] [Accepted: 06/30/2024] [Indexed: 07/09/2024]
Abstract
This review offers a detailed examination of the current landscape of radio frequency (RF) electromagnetic field (EMF) assessment tools, ranging from spectrum analyzers and broadband field meters to area monitors and custom-built devices. The discussion encompasses both standardized and non-standardized measurement protocols, shedding light on the various methods employed in this domain. Furthermore, the review highlights the prevalent use of mobile apps for characterizing 5G NR radio network data. A growing need for low-cost measurement devices is observed, commonly referred to as "sensors" or "sensor nodes", that are capable of enduring diverse environmental conditions. These sensors play a crucial role in both microenvironmental surveys and individual exposures, enabling stationary, mobile, and personal exposure assessments based on body-worn sensors, across wider geographical areas. This review revealed a notable need for cost-effective and long-lasting sensors, whether for individual exposure assessments, mobile (vehicle-integrated) measurements, or incorporation into distributed sensor networks. However, there is a lack of comprehensive information on existing custom-developed RF-EMF measurement tools, especially in terms of measuring uncertainty. Additionally, there is a need for real-time, fast-sampling solutions to understand the highly irregular temporal variations EMF distribution in next-generation networks. Given the diversity of tools and methods, a comprehensive comparison is crucial to determine the necessary statistical tools for aggregating the available measurement data.
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Affiliation(s)
- Erdal Korkmaz
- The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands.
| | - Sam Aerts
- The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands
| | - Richard Coesoij
- Delft University of Technology, Department of Microelectronics, 2628 CN, Delft, The Netherlands
| | - Chhavi Raj Bhatt
- Australian Radiation Protection and Nuclear Safety Agency, VIC 3085, Yallambie, Australia
| | - Maarten Velghe
- National Institute for Public Health and the Environment, Centre for Sustainability, Environment and Health, 3720 BA, Bilthoven, The Netherlands
| | - Loek Colussi
- Dutch Authority for Digital Infrastructure, 9700 AL, Groningen, The Netherlands
| | - Derek Land
- The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands
| | - Nikolaos Petroulakis
- Institute of Computer Science, Foundation for Research and Technology-Hellas, 70013, Heraklion, Greece
| | - Marco Spirito
- Delft University of Technology, Department of Microelectronics, 2628 CN, Delft, The Netherlands
| | - John Bolte
- The Hague University of Applied Sciences, Research Group Smart Sensor Systems, 2627 AL, Delft, The Netherlands; National Institute for Public Health and the Environment, Centre for Sustainability, Environment and Health, 3720 BA, Bilthoven, The Netherlands
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Foroughimehr N, Vilagosh Z, Yavari A, Wood A. The Effects of mmW and THz Radiation on Dry Eyes: A Finite-Difference Time-Domain (FDTD) Computational Simulation Using XFdtd. SENSORS (BASEL, SWITZERLAND) 2023; 23:5853. [PMID: 37447707 PMCID: PMC10346439 DOI: 10.3390/s23135853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/12/2023] [Accepted: 06/20/2023] [Indexed: 07/15/2023]
Abstract
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.
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Affiliation(s)
- Negin Foroughimehr
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia; (Z.V.); (A.Y.); (A.W.)
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Zoltan Vilagosh
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia; (Z.V.); (A.Y.); (A.W.)
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Ali Yavari
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia; (Z.V.); (A.Y.); (A.W.)
- School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, VIC 3122, Australia
| | - Andrew Wood
- 6G Research and Innovation Lab, Swinburne University of Technology, Melbourne, VIC 3122, Australia; (Z.V.); (A.Y.); (A.W.)
- School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia
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