Prediction of temperature distribution in human BEL exposed to 900 MHz mobile phone radiation using ANFIS

Develı, İbrahim; Sorgucu, Uğur

doi:10.1016/j.asoc.2015.04.055

Cited by 10 publications

(10 citation statements)

References 30 publications

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“…Mobile Phone as a Heat Flux Source ICBES 110-3 As seen in Figure 3, the maximum temperature rise was observed during the exposure to 2W. Although the exposure duration to EMF was long enough, observed maximum temperature was about 0.18 o C. The results are in a good agreement with the authors' previous experimental research [12]. Perfusion characteristics of the human body can be corresponded with the exponential behaviour of the temperature rise in the brain.…”

Section: Brain Modelsupporting

confidence: 84%

Computer-based Thermal Analysis of Brain Exposed to Near-Gigahertz Electromagnetic Field

Sorgucu¹,

Aktas²,

Develı³

2016

World Congress on Electrical Engineering and Computer Systems and Science

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In the last century, interactions between Electro Magnetic Fields (EMF) and biological systems have been studied by many disciplines. One of the most common methods is the use of computer simulations to investigate the effects of EMF on biological systems. Nearly all frequency bands and tissue types were studied in previous researches; the focus of recent researches has been on the communication frequency area and brain tissue. Accordingly, communication frequency area and brain tissue are modelled in the current study for different cases. As one of the most commonly used frequencies in cellular communication the different strengths of EMF at 900 MHz were evaluated and the resulting thermal effect on the human brain was investigated using a software package. As a result, remarkable temperature changes were obtained under different electromagnetic strengths.

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Section: Brain Modelsupporting

confidence: 84%

Computer-based Thermal Analysis of Brain Exposed to Near-Gigahertz Electromagnetic Field

Sorgucu¹,

Aktas²,

Develı³

2016

World Congress on Electrical Engineering and Computer Systems and Science

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“…One of the important effects of absorbing radio frequency waves of cell phones is increasing the temperature of body tissues, such that increasing 4.5°C in the brain is reported in a study due to confronting with a cell phone for 30 min. [ 15 ]…”

Section: Discussionmentioning

confidence: 99%

Evaluating temperature changes of brain tissue due to induced heating of cell phone waves

2018

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Background:Worries have recently been increased in the absorption of radiofrequency waves and their destructing effects on human health by increasing use of cell phones (mobile phones). This study performed to determine the thermal changes due to mobile phone radio frequency waves in gray and white brain tissue.Methods:This study is an empirical study, where the thermal changes of electromagnetic waves resulted from cell phones (900 MHZ, specific absorption rate for head 1.18 w/kg) on the 15 brain tissue of a cow were analyzed in a compartment with three different thickness of 2 mm, 12 mm, and 22 mm, for 15 min. The Lutron thermometer (model: MT-917) with 0.01°C precision was used for measuring the tissue temperature. For each thickness was measured three times. Data analysis is done by Lutron and MATLAB software packages.Results:In confronting of the tissue with the cell phone, the temperature was increased by 0.53°C in the 2 mm thickness that is the gray matter of the brain, increased by 0.99°C in the 12 mm thickness, and also increased by 0.92°C in the 22 mm thickness. Brain temperature showed higher rates than the base temperature after 15 min of confrontation with cell phone waves in all the three thicknesses.Conclusions:Cell phone radiated radio frequency waves were effective on increasing brain tissue temperature, and this temperature increase has cumulative effect on the tissue, being higher, for some time after the confrontation than the time with no confrontation.

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“…where σ, E and ρ is the electrical conductivity, electrical norm and density respectively. Work into mobile phone Specific Absorption Rate has been modeled and tested in various papers (Iqbal-Faruque et al, 2014;Develi et al, 2015;COMSOL Muliphysics®, 2011). Though, linking this with a mobile phone battery model a total overarching simulation for mobile phone thermal effects can be determined.…”

Section: Estimation Of Sarmentioning

confidence: 99%

“…This means that a head model must be constructed taking in to account properties that nonuniformly vary (Simon et al, 2000). Previous RF and SAR models (Li et al, 2014;Develi et al, 2015) studied the radiation effect of variation of tilt angles and distance of the phone from the head (Iqbal-Faruque et al, 2014). However, thermal affects from battery and other sources in the phone must also be counted for.…”

Section: Introductionmentioning

confidence: 99%

Thermal effects of mobile phones on human auricle region

Bauer

O’Mahony

Chovan

et al. 2019

Journal of Thermal Biology

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Mobile phones have become an indispensable utility to modern society, with international use increasing dramatically each year. The GSM signal operates at 900MHz, 1800MHz and 2250MHz, 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 1800MHz 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.

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Prediction of temperature distribution in human BEL exposed to 900 MHz mobile phone radiation using ANFIS

Cited by 10 publications

References 30 publications

Computer-based Thermal Analysis of Brain Exposed to Near-Gigahertz Electromagnetic Field

Computer-based Thermal Analysis of Brain Exposed to Near-Gigahertz Electromagnetic Field

Evaluating temperature changes of brain tissue due to induced heating of cell phone waves

Thermal effects of mobile phones on human auricle region

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