Effets sanitaires de la pollution électromagnétique

Abstract

Electromagnetic fields have adverse effects on human health. For this reason, many countries have developed limits for public exposure values. However, there are no Algerian recommendations or laws governing electromagnetic pollution. This work aims to assess the exposure by measuring the electromagnetic field of the main sources of pollution (mobile phones, base stations, Wi-Fi, medical equipment, and domestic appliances) using a teslameter. The measured values exceed the limits of the international committee for protection against non-ionizing radiation at certain distances from the source and in specific frequencies. Then, these results are compared with literature studies that treat the effects on public health. Because these reactions are characterized by uncertainty and imprecision, we found it useful to analyze these data by the techniques of artificial intelligence, including the principles of fuzzy logic. The structure of the block diagram of our analysis system consists of seven inputs (Age, Sex, Distance, Frequency, Induction, duration and type of exposure). These are inspired from epidemiological studies that aim to find the link between exposure to electromagnetic field on the one hand and biological or pathological effects on the other. After fuzzification of inputs and output, several rules of inference, connecting the fuzzy input variables to the fuzzy output variable, were developed in the form: IF "predicate" THEN "conclusion". The next step is the combination of all the rules and defuzzification of parameters. Finally, we can assume the effects of electromagnetic fields in other cases not investigated. Fuzzy logic deals with uncertainty is perfectly appropriate in our case in which a fuzzy algorithm is proposed to predict the health effects on exposed subjects from the input variables.