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Wi-Fi technology and human health impact: a brief review of current knowledge Cover

Figures & Tables

Figure 1

Average contribution (%) of various RF signals measured as electric field strength (V/m) in Belgian and Greek schools (7)
Average contribution (%) of various RF signals measured as electric field strength (V/m) in Belgian and Greek schools (7)

Figure 2

How EM RF energy is absorbed by biological materials, i.e. how skin depth decreases with higher frequency. Reflection of the incident radiation is assumed negligible at each interface in this diagram. Skin depth at high frequency, δhi, is less than that at medium frequency, δmed. (14, 16)
How EM RF energy is absorbed by biological materials, i.e. how skin depth decreases with higher frequency. Reflection of the incident radiation is assumed negligible at each interface in this diagram. Skin depth at high frequency, δhi, is less than that at medium frequency, δmed. (14, 16)

Conductivity and skin depth of low and high water content tissues at selected EM RF

FrequencyTissues with low water contentTissues with high water content
FatBoneMuscleSkin
σ (S/m)δ (mm)σ (S/m)δ (mm)σ (S/m)δ (mm)σ (S/m) δ(mm)
150 MHz0.04366.10.07301.00.767.20.585.0
450MHz0.04301.90.10202.20.851.30.752.9
835 MHz0.05252.00.14139.50.943.50.841.5
1.8 GHz0.08157.10.2866.71.329.21.228.3
2.54 GHz0.10117.10.3945.81.722.31.522.6
3 GHz0,1393.60.5135.22.118.01.718.9
5 GHz0.2449.40.9617.74.09.33.110.5
10 GHz0.5819.62.137.310.63.38.03.8

Basic restrictions for time-varying electric and magnetic fields for frequencies 10 MHz–10 GHz according to the International Commission on Non-Ionizing Radiation Protection (24)

Whole-body average SAR (W/kg)Localised SAR (W/kg)
Head and trunkLimbs
Occupational exposure0.41020
General public exposure0.0824

Examples of Wi-Fi exposure in school indoor/classroom environment

ReferenceCountry / SampleSource / Distance from source (m) (Number of measurements)Electric field strength (V m-1)Power density (W m-2)SAR (W/kg) localised (head and trunk)
Khalid et al. 2011 (55)United Kingdom / 3access points*/ 0.55.7b-
Peyman et al. 2011 (19)primary, 3 secondary schoolslaptops / 0.52.9b-0.00008c

Joseph et al. 2010 (56)Hungary school teacher/ 31 primary dWi-Fi devices*2-5--

Belgium / 10 schools
0.05a, 0.24b--
Vermeeren et al. 2013 (7)Greece / 5 schoolsvarious Wi-Fi devices*#0.09a, 0.20b--

Verloock et al. 2014 (111)Belgium and secondary / 5 primary schoolsvarious access Wi-points Fi clients*#0.34a, 2.52b--

Gledhill 2014 (59)New Zealand / 2 schoolsaccess points# / 2 laptops / <0.5-0.0025a, 0.02b 0.002a, 0.03b-

Karipidis et al. 2017 (54)Australia 16 secondary / 7 primary schoolsaccess points*# / 1.9-0.0004a, 0.04b-

Prlić et al. 2021 (10) & Croatia /151 primary Yet unpublished data & secondary schoolsaccess points*# /across the whole classroom (grid 1m x 1m)< 0.66b-0.0088 #f0.029*f

Relevant ICNIRP reference levels$ 61102
DOI: https://doi.org/10.2478/aiht-2022-73-3402 | Journal eISSN: 1848-6312 | Journal ISSN: 0004-1254
Language: English, Croatian, Slovenian
Page range: 94 - 106
Submitted on: Feb 1, 2020
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Accepted on: Jun 1, 2022
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Published on: Jul 7, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Ivica Prlić, Jerko Šiško, Veda Marija Varnai, Luka Pavelić, Jelena Macan, Silvija Kobešćak, Mladen Hajdinjak, Mihovil Jurdana, Zdravko Cerovac, Branimir Zauner, Marija Surić Mihić, Selma Cvijetić Avdagić, published by Institute for Medical Research and Occupational Health
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.