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  DOI Prefix   10.20431


 

International Journal of Advanced Research in Physical Science
Volume 5, Issue 11, 2018, Page No: 15-23

Current Density and SAR Analysis of Biological Tissues due to Radiant Electromagnetic Waves from Base Station Antennas

Igbinovia Anthony Osaigbovo1, Joseph Isabona2*

1.Department of Physics, College of Education, PMB 1144 Ekiadolor-Benin, Nigeria.
2.Department of Physics, Federal University Lokoja, PMB 1154, Kogi State, Nigeria.

Citation : Igbinovia Anthony Osaigbovo, Joseph Isabona, Current Density and SAR Analysis of Biological Tissues due to Radiant Electromagnetic Waves from Base Station Antennas International Journal of Advanced Research in Physical Science 2018, 5(11) : 15-23

Abstract

The environment around human contains numerous sources of non ionizing radiation, which include, but not limited to: power lines, power stations, TV and radio repeaters, cable and, RF cellular communications and satellite communications. Due to these sources, there exist a degree of interaction between the electromagnetic fields they generate and biological human tissue. For health purpose, the probe of how electromagnetic energy induces humans or how much electromagnetic energy is absorbed by the biological human tissues should be provided with answer quantitatively as much as possible. Two basic ways in which electromagnetic energy induces and impacts the biological tissue are through thermal effects and stimulant action. Whereas thermal effects occurs as a result of Joule heating, stimulant action is caused by excitation of the biological neurons and muscles owing to the induced current. Where stimulant action is measured in terms of current density J (A/m2), thermal effects is measured by specific absorption rate, SAR (W/kg). The work presents a simplified analytical modelling of the interaction between biological human tissues and radiant electromagnetic fields due to base station antennas. In terms of intensity of induced current density and SAR, the computed results obtained by means of the parametised analytical models are quantitatively presented and discussed.


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