Indian Journal of Science and Technology, Vol 9(20), DOI: 10.17485/ijst/2016/v9i20/85835, May 2016 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Electromagnetic Radiation Hazards on Humans Due to Mobile Phones A. Christina Josephine Malathi School of Electronics and Engineering, VIT University, Near Katpadi Road, Vellore - 632014, Tamil Nadu, India; achristina@vit.ac.in, achristinadominic@gmail.com Abstract There is an escalation in the amount of mobile phone users day by day with the availability of low cost, highly featured mobiles in the market. In the present investigation, the radiation characteristics of cell phone hand set is being analyzed at the frequency of 900 MHz and the interaction of these radiations with the human body is to be evaluated. The effects of radio frequency (RF) energy are related to the rate of energy absorption and it is computed using the parameter specific absorption rate. The specific absorption rate (SAR) of EM radiation from cell phones on human body is being analyzed at the regions of skin, muscle and heart. A novel method for the modeling of human body is carried out using the MATLAB software, which uses the finite difference time domain (FDTD) method for the SAR calculations. Further its effects are being analyzed from our investigation and it is reported that the measured SAR are within the FCC limits. Keywords: EM (Electromagnetic Radiation), MOM (Method of Moments), RF (Radio Frequency), Radiation Hazards, SAR (Specific Absorption Rate) 1. Introduction There is an increasing demand for the use of wireless communication systems along with the concern for human’s contact to EM radiation. This is mostly evident in the usage of mobile phones. Many countries have set various guiding principles and standards for limits for exposure to RF radiation. EM Radiation can be defined as waves of electric and magnetic energy radiating through space. Cell phones and its base stations produce EM radiations. These radiations are observed by their frequency and power. The frequency range for the cell phone is around 800 MHz to 1900 MHz with a maximum power of 2 watts. The power emitted is expressed in units of milli watt per cm2,1. When human body is unprotected to EM radiation an internal field is generated in the body. The absorption of power by the tissues will cause a temperature rise which is dependent on the cooling mechanism of the tissue. The field produced due to heating depends on the frequency, tissue dielectric properties and source configuration2. When the thermo regulatory capability of the system *Author for correspondence exceeds, tissue damage results. The Electromagnetic energy absorbed per unit mass of tissue is called Specific Absorption Rate (SAR) SAR = σE2/2ρ Where σ = Conductivity (m /m) ρ = Density of the tissue (Kg/m3) E = Internal Electric Field (V/m) The SAR of EM radiation from cell phones on the human body is being studied. A novel method for the modeling of human body is being carried out by using MATLAB software which employs the FDTD method for SAR calculations. There are several techniques available for measuring the full body electromagnetic absorption, but there is no specific technique to calculate SAR within the body. MOM is a frequency domain method which was followed, still MOM requires storage memory of the order of (3N)2 and time for computing of (3N)3 where N is the number of cells. The FDTD has been used extensively in computing the interaction of EM fields with complex, lossy dielectric bodies. This method has memory and time ­requirements communicate. The The human brain weigh pounds(1300-1400 (1300-140g communicate. human brain weighup uptoto about about 33 pounds mattermatter (40%), white matter (60%) contained the skull. skull.The Theblood blood (40%), white matter (60%) contained inside inside the is ai Electromagnetic Radiation Hazards onis Humans Due to Mobile and Phones temperature is generally about 37 degr Its specific gravity about 1.06 Its specific gravity is about 1.06 and temperature generally about 37 de bioelectrically controlled blood pump.There The heart of between all contracts bioelectrically blood pump. The heart of all mammals mammals proportional to N.controlled This Paper describes the FDTD is a major difference the NRPB and the contra electric potential across which reaches method and utility of the FDTDdifference method is demonstrated IEEE specifically in the 10 toa1000 MHz range asvalue shown just p electric potential difference across it itwhich reaches a maximum maximum value jus by a 3D model of the human body model using MATLAB in Figure 1. ICNIRP figures are reduced half when compumping contraction. Electrical properties are needed to assess the rate of software. contraction. The acquired results validate that the FDTD pared to theare two standards above to 1 GHz. The Figurethe 2 pumping Electrical properties needed assess rate method of computing internal field a comparison for the category. The SAR is c SARis capable is used to measure thedistribueffectsshows of EM fields onpublic humans. with acceptable per the standards on given humans. by FCC, ANSI/IEEE and SAR i SARtionis used to accuracy. measure the effects of AsEM fields cases to quantify the effects of the deposition thermal energy inThe the NCRP, there is aof limit on EM absorption in humans and biologi cases2. toEquantify the effects thermal energy inFCC, the biolo emission from of RF devices given in terms of SAR. By lectrical Properties of of the deposition RF absorption limits are upto 1.6 watts/Kg, over one gram Biological SubstancesLimit of tissue . 3. RF Exposure 4,5 Electrical properties of the biological substances can Frequency and Limit intensity of the incident EM field 3. The RF Exposure be classified as the active properties and passive properties. 4. FDTD Method decides the exposur considering theintensity average whole body SAR notEM exceeding 0.4 wkg-1 for Active defines theand capability to generate electrical Frequency of potenthe incident field decides theworker expo The FDTD method was proposed by YEE -1 and then tials and fields while the passive describes the responses public, the along withstimuli. experimentally threshold 4wkg . -1 for wor developed by Taflove . It is the of solution for Maxwell’s to externally applied electrical considering average whole bodydetermined SAR not exceeding 0.4 wkg 1 equations6,7. The absorption of EM waves in full body depends on -1 frequency and the positioning of the electric field ‘E’ to the dimension ‘L’ of the body, where L is major length of the body. The highest rate of energy absorption happens for E ll L (E orientation) for frequencies where major length is approximately 0.36 to 0.4 times the free space wavelength (λ) of radiation. Understanding about the electrical properties is needed to investigate the interaction mechanism of EM fields. The human brain creates electrical signals and along with chemical reactions with which the body parts communicate. The human brain weigh up to about 3 pounds (1300-1400 gm)3. The brain entails gray matter (40%), white matter (60%) contained inside the skull. The blood is an Figure 1. Comparison of occupational limits. opaque rather viscid fluid. Its specific gravity is about 1.06 and temperature is generally about 37 degree centigrade. The heart is a bioelectrically controlled blood pump. The Figure Comparison of occupational limits. heart of all mammals contracts or beats in response to an Figure 1.1. Comparison of occupational limits. electric potential difference across it which reaches a maximum value just prior to the start of the blood pumping contraction. Electrical properties are needed to assess the rate of the energy absorption. The SAR is used to measure the effects of EM fields on humans. The SAR is considered sufficient in most cases to quantify the effects of the deposition of thermal energy in the biological systems. public, along with experimentally determined threshold of 4wkg . There is a major difference between the NRPB and the IEEE specifically i as shown in Figure 1. ICNIRP figures are reduced half when compared to the The Figure 2 shows a comparison for the public category. There is a major difference between the NRPB and the IEEE specificall as shown in Figure 1. ICNIRP figures are reduced half when compared to t The Figure 2 shows a comparison for the public category. 3. RF Exposure Limit Frequency and intensity of the incident EM field decides the exposure limit. The limits are set considering the average whole body SAR not exceeding 0.4 wkg-1 for workers and 0.08 wkg-1 for general public, along with experimentally determined threshold of 4wkg-1. 2 Vol 9 (20) | May 2016 | www.indjst.org Figure 2. Comparison of public Figure 2. Comparison of public limits. limits. Indian Journal of Science and Technology A. Christina Josephine Malathi Approximation of derivatives in discrete form is done using FD and the time domain simulations indicate TD. In this method, the region considered is divided into number of cubic cells in which the fields are defined at fixed locations. Maxwell’s equations are discretized by using the FD approximation. After discretizing the Maxwell’s equation, it is solved by providing the excitation field to the cells as a function of time, the initial conditions and the boundary conditions. Extensively used method for approximating EM. No matrices are involved in implementing. Quick learning time. Wave interaction and coupling mechanisms can be studied. It is robust, flexible, efficient, versatile, user friendly to solve Maxwell’s equations in time domain. It is widely used for solving open region scattering, electromagnetic interference (EMI), Electromagnetic compatibility (EMC). Advantages (a) It is simple. (b) No need of integral equations, inversion of matrices. (c) Simple to implement (d) Less memory requirement. (e) Easy to convert to frequency domain from time domain. Disadvantages (a) Modeling of surrounding is needed along with the object modeling. (b) Execution time is large. (c) Accuracy is less when compared to method of moments. (d) Computation cannot be done for curved surfaces. (e) The field quantities are known only at grid points. Applications Antenna/Radiation problems Eigenvalue problems EM Absorption in human tissues The EM waves simulation generated by a Pulse is studied. Maxwell’s equations in free space are given by Vol 9 (20) | May 2016 | www.indjst.org (2) Both E and H denote the electric field and magnetic field. Equations (1) and (2) can be in expressed using del operator, ∇=i ∂ ∂ ∂ + j +k ∂x ∂y ∂z Let E = (Ex, Ey, Ez). The cross product of ∇ and E is given below i ∂ ∇×E = ∂x Ex j ∂ ∂y Ey k ∂ ∂z Ez Using the above expressions we rewrite (1) and (2) as ∂E x ∂t i ∂E y 1 ∂ ∂t = e ∂x o Hx ∂E z ∂t ∂H x ∂t 1 ∂H y ∂t = − m o ∂H z ∂t i ∂ ∂x Ex j ∂ ∂y Hy j ∂ ∂y Ey ∂H z ∂H y − k ∂z ∂y ∂H z ∂ 1 ∂H = z − ∂z eo ∂z ∂x ∂ H y ∂H z Hz − ∂y ∂x k ∂ ∂z Ez (3) ∂E z ∂E y − ∂z ∂y ∂E 1 ∂E = − z − z (4) ∂x mo ∂z ∂E y ∂E z − ∂y ∂x E field is in the direction of xz plane and waves ­travels in the z direction (Ey = 0). Ez = Hz = 0, and hence E = (Ex, 0, 0). The E field and H field travel at right angles to each another and hence E. H = 0. Since Ex ≠ 0 and by zero factor property Hx = 0. As Hz = 0, we have H = (0, Hy, 0). Equations (3) and (4) changes to 5. Elecromagnetic Simulation in Free Space ∂E 1 = ∇×H ∂t e0 ∂H 1 = − ∇×E m0 ∂t (1) ∂H y ∂E x ∂t 1 ∂z 0 = 0 0 eo 0 (5) Indian Journal of Science and Technology 3 denoted by the gray and blue grid line. The initial values considered are set as gre borders are shown as orange and violet circles. Electromagnetic Radiation Hazards on Humans Due to Mobile Phones FDTD Approximation Grid ∂H y ∂t 1 0 =− mo 0 0 E ∂ x ∂z 0 (6) Equations (5) and (6) indicates the wave propagation in z direction, as shown in (Figure 3) 6. The Algorithm Figure 4. The FDTD Approximation Grid. Figure 4. The FDTD Approximation Grid. Having got the system, we need to Every approximate Ex and Hy. three arrows pointing towards it (Figure 4)8,9. Of the three a triangle has ∆x corresponds to the change along the z from axis and previous timeremaining step. The remaining twofrom comesa from emerges thea time previous the time step. The two comes half-step down change is denoted by ∆t. By central difference approximaa half-step down and a half-step to the right or left. is the right or left. It is clearly evident that the algorithm is inter weaved inItspatial and tim tion in both space and time, we modify (5) and (6) as clearly evident that the algorithm is inter weaved in spatial to partial differential equations in time and space. This technique is also named as 1 n+ (Ex )k 2 1 n− − (Ex )k 2 ∆t 1 n+ (H y )k 2 =− 1 n− − (H y )k 2 ∆t where ν =− 1 eo (H y )n k+ n =− 1 mo (Ex ) 1 2 − (H y )n k− ∆x 1 k+ 2 1 2 − (Ex )n ∆x 1 k− 2 1 ∆t 1 ∆t and ν = − µ o ∆x ε o ∆x The Figure 4 below represents the FDTD grid created8,9. The Ex approximations are represented by orange triangles while the Hx approximations by violet triangles. Each row relates to a specific instant in time, at half time steps and each column indicates a one whole time step. The whole and half steps are denoted by the gray and blue grid line. The initial values considered are set as green circles and the borders are shown as orange and violet circles. FDTD Approximation Grid Every triangle has three arrows pointing towards it (Figure 4)8,9. Of the three arrows, one arrow emerges from and time domain similar to partial differential equations in time and space. This technique is also named as leap frog method. Imagine a frog as triangle, for instance n+ 1 (Ex )k + 22 and leaping his legs to jump up to the triangle, 3 2 (Ex )k + 2. n+ The path it makes first moves outward and then inward making a triangle and the path drawn by his legs make a triangle. The magnitudes of (5) and (6) are not equal because of the permittivity of free space and the permeability of free space, εo and µo. Since the values are modified as, E = eo E mo E= mo E eo and substituting this in equations (7) and (8) we have 1 n− n n = h (H y )5 1 − (H y ) 1 + (Ex )k 2 k+ k− 2 2 1 1 n− n+ (H y )n+11 = h (E x )k 2 − (E x )k 2 + (H y )n 1 k+ k+ 2 2 n+ (E x )k where h = 1 2 ∆t e0 mo ∆x 1 This method is being implemented in our project by generating an incident wave and the equations for E and H are solved. Human body model was created using the Figure 3. Propagation of Transverse Plane-Polarized EM dielectric properties and the conductivity. Figure 3. Propagation of Transverse Plane-Polarized EM Waves. Waves. ithm 4 9 (20) | May 2016 | www.indjst.org e system, weVolneed to approximate Ex and Hy. corresponds to the change along the zIndian Journal of Science and Technology change is denoted by . By central difference approximation in both space and time, we A. Christina Josephine Malathi 7. Body Model The calculated E and H fields (Figure 5.) are categorized into, • The Total field • The Scattered field Where δt - the time step δ - the cell size c - speed of the electromagnetic waves The equation (8) indicates that the smaller step size leads to more number of time steps6 (high resolution). 1 3 Results Body Model as triangle, for instance ( E x ) k 22 the andfield leaping his legs to jump up9. to the triangle,for ( E x Human ) k 22 . field, propagates through and is subtracted out Thepath Modeldrawn for theby Human body is being done by MATLAB kes first moves outward and then a triangle his legs the other end. Hence, E andinward H fields making to reach the scatteredand the software based on FDTD method. The results obtained are e. field volume are those which are scattered off the scataccurate, efficient and versatile. Here the SAR distribution theequal implementation udes of (5)terer. andThis (6)explains are not because ofofthe the­radiation permittivity of free space and the is obtained using incident frequencies at 900 MHz. The f free space,condition. εo and µo. Since the values are modified as, n The incident wave is created along one edge of the total 8. Constraints ~ E and n tabulation for conductivity, relative permittivity and mass density of heart, muscle and skin at 900 MHz ­frequency are shown in Table 1. The SAR distribution in human model is shown below in Figure 6. E Limitations o o The constraint in this method is the radiation condition is o ~ E E may reflect back not implicit ie. outgoing scattered waves o into the scattered object. This problem can however be overcome by introducing an absorption condition around 10. Conclusion and substituting thismatrix in equations (7) andthe(8) we have the edge of each E field which absorbs outgo1 1 For cell phones operating at 900 MHz, the maximum value ing scattered This is based on a two-pole expansion ~ nwaves. ~ n 2 n n 2 ( H y ) and ( H y ) which (results E x ) k in of electric field is calculated to be 400 V/m for 2W power method( E according to Bayliss Turkel, x )k 1 1 k k 2 2 output. But we have found the Electric field strengths error given by, 1 1 inside the body with the incident field of 1V/m. Inorder n ~ n 5~ n 2 to compare our results accurately, we do the ­following cal( H y ) n 11 ( E x ) k c2 (2.E ) ( H ) x k y 1 k k (7) Error = O 2 2 culations. 2p fr Assuming the cellphone is cylindrical and considering t 1 . f - incident . the antenna length l = λ (lambda), Where frequency x 0 o r - distance from center of the scattering body to We know, C = f λ, is being implemented in our project by generating for the boundary of the computing field. an incident wave and the equations λ = C / f, lved. Human body model was created using the dielectric properties and the conductivity. 8 When low incident frequency is used, large volume surrounding the body is needed to overcome the error due to del truncation conditions. ed E and H imperfect fields (Figure 5.) are categorized into, The stability can be ensured by taking the step size as l field ered field δt = δ/2c (8) Total Field Scattering Object Scattering Fields Lattice Truncation = (3 × 10 )/(900 × 106) = 0.33 m The Power density at a distance r = 2.2cm, from the antenna is roughly equal to p/2πrl, since nearly all the radiated power has to pass through a cylinder of area 2πrl. We know the power radiated by a cell phone at 900 MHz is 2 watts, and hence p =2 watts. Substituting the above values Table 1. Tabulation for conductivity, relative permittivity and mass density Tissue Conductivity Frequency Name (s/m) Skin 900MHz 0.86674 Muscle 900 MHz 0.94294 Figure A. Division of FDTD lattice lattice into Total Scattered Figure5. 5. A. Division of FDTD intoand Total and fields. Heart 900 MHz waveScattered is created along one edge of the total field, propagates through the field1.2298 and is fields. ident the other end. Hence, E and H fields to reach the scattered field volume are those which are e scatterer. This explains the implementation of the radiation condition. Vol 9 (20) | May 2016 | www.indjst.org nts and Limitations Relative Permittivity Mass Density of the Tissue (Kg/m3) 41.405 1100 55.032 1041 59.893 1060 Indian Journal of Science and Technology nt in this method is the radiation condition is not implicit ie. outgoing scattered waves may 5 Figure 6. Field Distribution at 900 MHz - Skin, Muscl Electromagnetic Radiation Hazards on Humans Due to Mobile Phones 8 At distance of 10 c At distance of 13 cm At distance of 16 cm Figure 6. Field Distribution at 900 MHz - Skin, Muscle, Heart in human body. At distance of 10 cm - SkinFigure 7. Field Strength at 900 MHz. Figure 7. Field Strength at 900 MHz. At distance of 13 cm - Muscle At distance of 1610. cm Conclusion – Heart For cell phones operating at 900 MHz, the maximum V/m for 2W power output. But we have found the Elec Figure 6. Field Distribution at 900 MHz - Skin, Muscle, Heart in human body. Figure 6. FieldAtDistribution 900cm MHz - Skin, Muscle, incident field of 1V/m. Inorder to compare our results accur distance ofat10 - Skin Heart in human body. Assuming the cellphone is cylindrical and considering the a At distance of 13 cm - Muscle At distance of 10 cm - Skin We know, C = f λ, At distance of 16 cm – Heart At distance of 13 cm - Muscle λ = C / f, At distance of 16 cm – Heart = (3 x 108)/(900 x 106) = 0.33 m the power density is found to be 43.86 watts. Now we have The Power density at a distance r = 2.2cm, from the antenna to find the Electric field from power density. We know, radiated power has to pass through a cylinder of area 2πrl. W 900 MHz is 2 watts, and hence p =2 watts. Figure 7. Field 900 MHz. Figure 8. Specific Absorption Rate. Substituting the E2 / RStrength = power at density Figure 8. Specific Absorption Rate. 0.5 43.86 watts. Now we have to find the Electric field from po E = (43.86 × 377) 2 E / R = power density = 129.59 V/m 10. Conclusion Table 2. Specific Rate0.5 E =Absorption (43.86 x 377) For operating Thiscell willphones be the incident fieldatto900 the MHz, human the bodymaximum value of electric field is calculated to be 400 FrequencyRate. = 129.59 V/m ure 7. Field at MHz 900power MHz. Figure 8. Specific Skin Muscle the body Heartwith the at 900 and hence we can multiply with the result V/mStrength for 2W output. But we have found the Absorption Electric fieldwill strengths inside (MHz)This be the incident field to the human body at which we of obtained for,Inorder with 1 V/m. Thus the Electric field accurately, we do the following calculations. incident field 1V/m. to compare our results 900 which0.44 W/Kg W/Kg result weW/Kg obtained0.36 for, with 10.75 V/m. Thus the Elec ion Assuming strength obtained at different tissue layers Skin, Muscle, the cellphone is cylindrical and considering thelayers antenna length l = λ (lambda), Skin, Muscle, Heart are found to be 33.43 V/m, 28.2 ll phones operating at found 900 MHz, the maximum of V/m electric Heart are to be 33.43 V/m, 28.28value V/m, 36 and field is calculated to be 400 We know, C = f λ, The obtained SARand of parcel Skin, of Muscle, and HeartThe are shown in power output. weinhave the bodyis part with the EM radiation the environment. areBut shown Figurefound 6, 7. the Electric field strengths inside λ = C / f, of 1V/m. InorderThe to compare accurately, we Heart do theare following calculations. ­number of mobile users has been drastically increased. obtained our SARresults of8 Skin, Muscle,6 and )/(900 xantenna 10in)Table = (3 x 10 cellphone is cylindrical and the length It was predicted to have 1.2 billion wireless device users shown in Figure 8considering and tabulated below 2. l = λ (lambda), = 0.33 C = f λ, around the world by 200512 and 2.7 billion in 2015. There These results are mcompared with the (Federal λ = CThe / f, Power density atCommission) a distance FCC r = 2.2cm, from the antenna is roughly to p/2πrl, since nearly is no way to controlequal this change. EM radiation is alsoall a the Communication limits for general 6 10,11 = (3radiated x 108)/(900 x 10 ) kind of pollution which should be controlled. power has to pass through a cylinder of area 2πrl. We know the power radiated by a cell phone at uncontrolled/exposure (100 KHz – 6 GHz) . = 0.33 m all the researchers aredensity working towards theto be 900 MHz is 2 watts, and hence p =2 watts. Substituting theCurrently above values the power is found nsity at43.86 a distance r =Now 2.2cm, from the antenna is roughly equal to p/2πrl, since nearly all the •watts. < 0.08 W/Kgwe Full Body production of harmless wireless devices. Smaller cell size, have to find the Electric field from power density. We know, r has to pass through a cylinder area 2πrl. We know the power radiated by abase cellstation phoneantennas at • <2 1.6 W/Kg PartialofBody improved and some advanced techE / R = power density watts, and hence p =2 watts. Substituting densitywill is found to be make the cell phones to radiate less power. 0.5the above values the powernologies Ethe=Electric (43.86 xAbsorption 377) Thefind obtained Specificfield rates density. are within Now we have to from power Wethe know, It is huge research topic which needs to be investigated FCC limits.= 129.59 V/m = power density further. 0.5 will be the incident field to the human body at 900 MHz and hence we can multiply with the This = (43.86 x 377) result which we obtained for, with 1 V/m. Thus the Electric field strength obtained at different tissue = 129.59 V/m 11. Future Development 12. References will be the incident to the Heart humanare body at 900 and hence can V/m, multiply layers Skin,field Muscle, found to MHz be 33.43 V/m, we 28.28 36 with V/m the and are shown in Figure 6,7. we obtained for, withSAR 1 V/m. Thusspread the Electric field strength obtained at different tissue EM radiation is all amongand the environment. 1. inSadiku MNO. numerical Techniques in Electromagnetics. The obtained of over Skin, Muscle, Heart are shown Figure 8 and tabulated below in Table 2. Muscle, Heart Because are found 33.43 V/m, 36 V/m and are shown Figure 2009in April 9. 6,7. of to thebeemergence of 28.28 variousV/m, wireless services SAR of Skin, Muscle, and Heart are shown in Figure 8 and tabulated below in Table 2. 6 Vol 9 (20) | May 2016 | www.indjst.org Indian Journal of Science and Technology A. Christina Josephine Malathi 2. Lak Asma, Parhizgar Naser. Effect of Presence of Human Body on Antenna Gain. Indian Journal of Science and Technology. 2015 Nov; 8(30). Doi:10.17485/ijst/2015/ v8i1/74568. 3. Gandhi OMP. Biological Effects and Medical Applications of Electromagnetic Energy. 1990 Jan 1; p.1–39. 4. Sekar SS, Demirbilek BO, Morgul A. SAR Assessment in a human head model exposed to radiation from mobile phone using FEM. IEEE International conference on Electromagnetic compatibility, Minneapolis, Minnesota. 2002 Aug 19-23; 2:662–66. 5. Bernardi P, Cavagnaro M, Pisa S. Evaluation of the SAR distribution in the human head for cellular phones used in a partially closed environment. IEEE Transactions on Electromagnetic Compatability. 1996 Aug 6; 38(3):357-66. 6. Sullivan DM. Electromagnetic Simulation using the FDTD Method. 2013 May 20. 7. Sullivan DM. The FDTD method: computation and Analysis. 2013; p. 1–192. Vol 9 (20) | May 2016 | www.indjst.org 8. Sullivan DM, Borup DT, Gandhi OMP. Use of Finite Difference Time Domain method in calculating EM absorption in human tissues. IEEE Trans. Biomed. Engg. 1987 Feb; BME 34(2):148–57. 9. Sullivan DM, Gandhi OMP, Taflove A. Use of the Finite Difference Time Domain method for calculating EM absorption in man models. IEEE Trans. Biomed. Engg. 1988 Mar; 35(3):179–86. 10. Fields E. Questions and answers about biological effects and potential hazards of radiofrequency electromagnetic fields. Federal Communication Commission office of Engineering and Technology. OET Bulletin 56, Fourth edition. 1999 Aug. 11. Mamoon A. Biological potential hazards of electromagnetic fields the case of mobile phones. Cairo, Egypt: Twentieth national radio science conference. 2003 March 18–20. 12. Zamanian A, Hardiman CY. Electromagnetic Radiation and Human Health: a review of sources and effects. High Frequency Electronics. 2005 July. Indian Journal of Science and Technology 7