Abstract

Recently, there is a large concern focusing on the effects of electromagnetic radiation on human health hazards. So there has been a progress in medical data analysis using different systems such as artificial intelligent techniques. One of these is a Fuzzy logic technique. In this research a fuzzy logic-based monitoring system is used with interference effects on experimental animals. This system shown an ability to support the recent studies with great results and analysis. The performance of the fuzzy inference system was validated through a real data have been collected through an experiment. Therefore, the study designed to investigate the effect of sub-chronic exposure of electromagnetic field on experimental mice. In this experiment, the mice exposed to EMF (12 h/day) in a EMF exposure machine designed especially for exposure of biological.

Highlights

  • The effects of electro-magnetic interference on experimental animals using fuzzy logic monitoring system has been evaluated, the effect of two different electric-field and magnetic – filed on Mice

  • The testes weights of all mice in the visible light exposed groups were gradually decreased as compared to the testes of control mice [21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39]

  • We assume that any radiation exposure, no matter how small, carries with it some risk

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Summary

Introduction

The effects of electro-magnetic interference on experimental animals using fuzzy logic monitoring system has been evaluated, the effect of two different electric-field and magnetic – filed on Mice. Effective doses similar to the level of human exposure to EMF has been posed. Mice groups were exposed to iso-thermal non-ionizing radiation, Extremely low frequency electromagnetic field (LF-EMF) especially at the visible light range (400-800 nm) have determine consequences on human health [1]. Epidemiological studies indicated that exposure to visible light may cause several health hazards of fetus maturation and biological activities on the embryos [3, 4].

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