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Thermal effects of mobile phones on human auricle region

机译:手机对人耳廓区域的热效应

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摘要

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 (R) 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.
机译:移动电话已成为现代社会不可或缺的效用,国际用途每年都在急剧增加。 GSM信号在900MHz,1800MHz和2250MHz下运行,可能会对人体组织造成伤害。然而,Silico模型中没有辅助设计这些装置以防止导致潜在的热效果。在这里,我们在电话呼叫期间具有实验验证的移动电话设备中的加热源型号。我们使用COMSOL(R)多体性建模平台上的第一个原理开发了该手机热模型,以模拟人类耳廓地区的供热效果,由于手机使用。特别是,我们的模型认为来自诸如锂离子电池,CPU电路和天线的组件的辐射和非辐射加热。该模型由于手机使用而导致的加热效果的分布和效果,并考虑了电池放电速率,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,使用温度传感器在模拟和实验数据(& 1%变化)之间的实验期间验证锂离子电池加热。典型呼叫中的手机加热也被模拟并与实验红外热敏成像进行了模拟。重要的是,我们发现,1800 MHz的数据传输频率显示出该模拟中使用的脂肪/水体幻像的最高温度升高。在移动电话使用期间,我们还成功地将人耳廓地区的加热分布与具有合理的定性和定量协议的临床热量图像。总之,我们的模型提供了一种基础,以设想由移动电话使用引起的热和其他物理效果,并允许了解使用热成像的支持和促进个性化和预防性的潜在负面健康影响。

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