To analyze thermal effects caused by mobile phones on the human auricle region, we performed an experiment with controlled exposure to mobile phones operating in different modes for a group of 40 men. Temperature changes were measured with the use of infrared thermography. Thermograms were taken before and after a standardized 15-minute phone call when the mobile phone was placed lightly against the skin surface in the auricle region. The measurements were performed in three modes: OFF, ON, and FLIGHT. Statistically significant differences (p = 0.03) were observed between the experimental temperature increase of the auricle region in OFF mode (average temperature rise = 1.1 °C ± 0.2 °C) and in ON mode (average temperature rise = 1.9 °C ± 0.3 °C), while between FLIGHT (average temperature rise = 1.4 °C ± 0.2 °C) and ON modes, no statistical differences were observed (p = 0.20). Based on thermographic measurements and the model of heat transfer between the ear and the phone, it was shown that the human ear is the largest heat source in the system and that the increase in skin temperature is mainly caused by the handheld mobile phone restricting heat dissipation from the skin surface.
Citation: Tomasz Rok, Artur Kacprzyk, Eugeniusz Rokita, Dorota Kantor, Grzegorz Tatoń. Quantitative assessment of thermal effects on the auricle region caused by mobile phones operating in different modes[J]. AIMS Biophysics, 2024, 11(4): 427-444. doi: 10.3934/biophy.2024023
To analyze thermal effects caused by mobile phones on the human auricle region, we performed an experiment with controlled exposure to mobile phones operating in different modes for a group of 40 men. Temperature changes were measured with the use of infrared thermography. Thermograms were taken before and after a standardized 15-minute phone call when the mobile phone was placed lightly against the skin surface in the auricle region. The measurements were performed in three modes: OFF, ON, and FLIGHT. Statistically significant differences (p = 0.03) were observed between the experimental temperature increase of the auricle region in OFF mode (average temperature rise = 1.1 °C ± 0.2 °C) and in ON mode (average temperature rise = 1.9 °C ± 0.3 °C), while between FLIGHT (average temperature rise = 1.4 °C ± 0.2 °C) and ON modes, no statistical differences were observed (p = 0.20). Based on thermographic measurements and the model of heat transfer between the ear and the phone, it was shown that the human ear is the largest heat source in the system and that the increase in skin temperature is mainly caused by the handheld mobile phone restricting heat dissipation from the skin surface.
[1] | Bauer J, O'Mahony C, Chovan D, et al. (2019) Thermal effects of mobile phones on human auricle region. J Therm Biol 79: 56-68. https://doi.org/10.1016/j.jtherbio.2018.11.008 |
[2] | Bauer J, Górecki I, Kohyt M, et al. (2018) The influence of smartphones' operation modes on the superficial temperature distribution in the human auricle region. J Therm Anal Calorim 133: 559-569. https://doi.org/10.1007/s10973-018-7047-8 |
[3] | Meena JK, Verma A, Kohli C, et al. (2016) Mobile phone use and possible cancer risk: current perspectives in India. Indian J Occup Envir Med 20: 5-9. https://doi.org/10.4103/0019-5278.183827 |
[4] | Verrender A, Loughran SP, Anderson V, et al. (2018) IEI-EMF provocation case studies: a novel approach to testing sensitive individuals. Bioelectromagnetics 39: 132-143. https://doi.org/10.1002/bem.22095 |
[5] | Carlberg M, Hedendahl L, Ahonen M, et al. (2016) Increasing incidence of thyroid cancer in the Nordic countries with main focus on Swedish data. BMC Cancer 16. https://doi.org/10.1186/s12885-016-2429-4 |
[6] | Chapman S, Azizi L, Luo Q, et al. (2016) Has the incidence of brain cancer risen in Australia since the introduction of mobile phones 29 years ago?. Cancer Epidemiol 42: 199-205. https://doi.org/10.1016/j.canep.2016.04.010 |
[7] | Coureau G, Bouvier G, Lebailly P, et al. (2014) Mobile phone use and brain tumours in the CERENAT case-control study. Occup Environ Med 71: 514-522. https://doi.org/10.1136/oemed-2013-101754 |
[8] | Gruber MJ, Palmquist E, Nordin S (2018) Characteristics of perceived electromagnetic hypersensitivity in the general population. Scand J Psychol 59: 422-427. https://doi.org/10.1111/sjop.12449 |
[9] | Bogers RP, van Gils A, Clahsen SCS, et al. (2018) Individual variation in temporal relationships between exposure to radiofrequency electromagnetic fields and non-specific physical symptoms: a new approach in studying ‘electrosensitivity’. Environ Int 121: 297-307. https://doi.org/10.1016/j.envint.2018.08.064 |
[10] | Schoeni A, Roser K, Röösli M (2015) Memory performance, wireless communication and exposure to radiofrequency electromagnetic fields: a prospective cohort study in adolescents. Environ Int 85: 343-351. https://doi.org/10.1016/j.envint.2015.09.025 |
[11] | Danker-Hopfe H, Dorn H, Bolz T, et al. (2016) Effects of mobile phone exposure (GSM 900 and WCDMA/UMTS) on polysomnography based sleep quality: An intra- and inter-individual perspective. Environ Res 145: 50-60. https://doi.org/10.1016/j.envres.2015.11.011 |
[12] | Huss A, van Eijsden M, Guxens M, et al. (2015) Environmental radiofrequency electromagnetic fields exposure at home, mobile and cordless phone use, and sleep problems in 7-year-old children. PLoS One 10: e0139869. https://doi.org/10.1371/journal.pone.0139869 |
[13] | Agarwal A, Deepinder F, Sharma RK, et al. (2008) Effect of cell phone usage on semen analysis in men attending infertility clinic: an observational study. Fertil Steril 89: 124-128. https://doi.org/10.1016/j.fertnstert.2007.01.166 |
[14] | Kacprzyk A, Stefura T, Krzysztofik M, et al. (2021) The impact of mobile phone use on tinnitus: a systematic review and meta-analysis. Bioelectromagnetics 42: 105-114. https://doi.org/10.1002/bem.22316 |
[15] | Kargel C (2005) Infrared thermal imaging to measure local temperature rises caused by handheld mobile phones. IEEE T Instrum Meas 54: 1513-1519. https://doi.org/10.1109/TIM.2005.851082 |
[16] | Lahiri BB, Bagavathiappan S, Soumya C, et al. (2015) Infrared thermography based studies on mobile phone induced heating. Infrared Phys Technol 71: 242-251. https://doi.org/10.1016/j.infrared.2015.04.010 |
[17] | Alhama F, Zueco J (2007) Application of a lumped model to solids with linearly temperature-dependent thermal conductivity. Appl Math Model 31: 302-310. https://doi.org/10.1016/j.apm.2005.11.015 |
[18] | Balbani APS, Montovani JC (2008) Mobile phones: influence on auditory and vestibular systems. Braz J Otorhinolaryngol 74: 125-131. https://doi.org/10.1590/S0034-72992008000100020 |
[19] | de Dear RJ, Arens E, Hui Z, et al. (1997) Convective and radiative heat transfer coefficients for individual human body segments. Int J Biometeorol 40: 141-156. https://doi.org/10.1007/s004840050035 |
[20] | Kacprzyk A, Kocoń S, Składzień J, et al. (2020) Does the short-term exposure to radiofrequency electromagnetic field originating from mobile phone affect auditory functions as measured by Acoustic Admittance and Evoked Otoacoustic Emission tests?. Electromagn Biol Med 39: 411-418. https://doi.org/10.1080/15368378.2020.1826960 |
[21] | Makris L, Angelone S, Tulloch, et al. (2008) MRI-based anatomical model of the human head for specifc absorption rate mapping. Med Biol Eng Comput 46: 1239-1251. https://doi.org/10.1007/s11517-008-0414-z |
[22] | Mishra V, Puthucheri S, Singh D An efficient use of mixing model for computing the effective dielectric and thermal properties of the human head (2018)56: 1987-2001. https://doi.org/10.1007/s11517-018-1828-x |
[23] | Ibrahim JG, Chen MH, Sinha D Springer Series Statistics (2009). https://doi.org/10.1007/978-1-4757-3447-8 |
[24] | Engineering ToolBox, Specific Heat of common Substances (2003). Available from: https://www.engineeringtoolbox.com/specific-heat-capacity-d_391.html |
[25] | Engineering ToolBox, Human Body-Specific Heat (2003). Available from: https://www.engineeringtoolbox.com/human-body-specific-heat-d_393.html |
[26] | Lavine AS, Incropera FP, DeWitt DP Fundamentals of Heat and Mass Transfer (2011). |
[27] | Rok T, Rokita E, Tatoń G, et al. (2017) Thermographic imaging as alternative method in allergy diagnosis. J Therm Anal Calorim 127: 1163-1170. https://doi.org/10.1007/s10973-016-5676-3 |
[28] | Taurisano MD, Vorst AV (2000) Experimental thermographic analysis of thermal effects induced on a human head exposed to 900-MHz fields of mobile phones. IEEE T Microw Theory 48: 2022-2032. https://doi.org/10.1109/22.884191 |