Bauer Joanna, O'Mahony Charlie, Chovan Drahomir, Mulcahy John, Silien Christophe, Tofail Syed A M
Faculty of Fundamental Problems of Technology, Department of Bioengineering, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, Wroclaw 50-370, Poland.
Department of Physics, and Bernal Institute, University of Limerick, National Technological Park, Limerick, Ireland.
J Therm Biol. 2019 Jan;79:56-68. doi: 10.1016/j.jtherbio.2018.11.008. Epub 2018 Nov 14.
Mobile phones have become an indispensable utility to modern society, with international use increasing dramatically each year. The GSM signal operates at 900 MHz, 1800 MHz and 2250 MHz, may potentially cause harm to human tissue. Yet there is no in silico model to aid design these devices to protect from causing potential thermal effect. Here we present a model of sources of heating in a mobile phone device with experimental verification during the phone call. We have developed this mobile phone thermal model using first principles on COMSOL® Multiphysics modelling platform to simulate heating effect in human auricle region due to mobile phone use. In particular, our model considered both radiative and non-radiative heating from components such as the lithium ion battery, CPU circuitry and the antenna. The model showed the distribution and effect of the heating effect due to mobile phone use and considered impact of battery discharge rate, battery capacity, battery cathode material, biological tissue distance, antenna radio-wave frequency and intensity. Furthermore, the lithium ion battery heating was validated during experiments using temperature sensors with an excellent agreement between simulated and experimental data (<1% variation). Mobile phone heating during a typical call has also been simulated and compared with experimental infrared thermographic imaging. Importantly, we found that 1800 MHz frequency of data transmission showed the highest temperature increase in the fat/water phantom used in this simulation. We also successfully compared heating distribution in human auricle region during mobile phone use with clinical thermographic images with reasonable qualitative and quantitative agreements. In summary, our model provides a foundation to conceive thermal and other physical effects caused by mobile phone use and allow for the understanding of potential negative health effects thus supporting and promoting personalized and preventive medicine using thermography.
手机已成为现代社会不可或缺的工具,其国际使用量每年都在急剧增加。GSM信号在900兆赫、1800兆赫和2250兆赫频率下运行,可能会对人体组织造成伤害。然而,目前尚无计算机模拟模型来辅助设计这些设备以防止产生潜在的热效应。在此,我们展示了一个手机设备发热源模型,并在通话过程中进行了实验验证。我们基于COMSOL®多物理场建模平台的第一原理开发了这个手机热模型,以模拟使用手机时人体耳廓区域的发热效应。特别是,我们的模型考虑了锂离子电池、CPU电路和天线等组件产生的辐射和非辐射加热。该模型展示了使用手机时发热效应的分布和影响,并考虑了电池放电率、电池容量、电池阴极材料、生物组织距离、天线无线电波频率和强度的影响。此外,通过使用温度传感器在实验中对锂离子电池发热进行了验证,模拟数据与实验数据之间具有极佳的一致性(变化<1%)。还对典型通话期间手机发热进行了模拟,并与实验红外热成像进行了比较。重要的是,我们发现在此模拟中使用的脂肪/水模型中,1800兆赫的数据传输频率显示出最高的温度升高。我们还成功地将使用手机时人体耳廓区域的发热分布与临床热成像图像进行了比较,在定性和定量方面都具有合理的一致性。总之,我们的模型为构想使用手机引起的热效应和其他物理效应提供了基础,并有助于理解潜在的负面健康影响,从而支持和促进使用热成像技术的个性化和预防医学。