Title: Comparative study of mobile phone emitted EM waves on human brain at different charging levels

Authors: Savita Rathee; Manoj Duhan

Addresses: Department of Electronics and Communication Engineering, Sant Longowal Institute of Engineering & Technology, Longowal, Sangrur 148106, Punjab, India ' Department of Electronics and Communication Engineering, Deenbandhu Chhotu Ram University of Science and Technology Murthal, Sonepat 131039, Haryana, India

Abstract: Vast advances in communication technology have made mobile phone an important gadget of the 21st century. Nowadays, mobile phone is a necessary evil. Now teenagers start using mobile phones at the school level and it shows mobile phone playing a vital role in everyday life. This increased popularity and demand of mobile phone has raised concern about possible interaction between the Electromagnetic (EM) field radiation and human being. This has been found that EM radiations emitted by mobile phones can cause genetic damage, tumours, memory loss, increased blood pressure and weakening of the immune system, headache, increased heart attack rate, skin cancer, sleep disorder, etc. This paper discusses the experimental findings conducted to study the effect of EM radiations emitted from the mobile phone (GSM GT S7392) at different battery level towards human brain. This experiment was conducted to examine whether there is any difference in radiation pattern emitted from a mobile handset at different battery levels, namely at high and low battery levels. Electroencephalogram machine is used to monitor and capture the brain signals at different stimuli. The experimental findings show that the effect of mobile phone emitted EM radiations is more intense at low battery level; especially during ringing mode, P3-O1 and T5-O1 channels are more affected and when call is ongoing, P4-O2 and T6-O2 channels are severely affected.

Keywords: electromagnetic waves; EM field radiation; EEG; electroencephalograms; GSM; global system for mobile communications; mobile phones; cell phones; RMS; Recorders & Medicare Systems; human brain; charging levels; battery levels; mobile handsets; brain signals.

DOI: 10.1504/IJBET.2016.079147

International Journal of Biomedical Engineering and Technology, 2016 Vol.22 No.2, pp.178 - 188

Received: 06 Jul 2015
Accepted: 11 Jan 2016
Published online: 14 Sep 2016 *

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