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Formation of the rules of fuzzy productions for automated diagnostic system of processing electromyographic signals

Keywords:

N.T. Abdullayev, K.Sh. Ismayilova


To reduce the likelihood of misdiagnosis while working with medical data, mathematical tools using fuzzy logic technology are widely used. The use of medical data in the systems of decision support assumes using of both quantitative and qualitative variables. The system for electromyographic researches carries out the function of transformation of a set of values of symptomatic and pathogenetic factors as input variables for diagnosis as output variables. The advantage of fuzzy logic technology is the possibility to describe operation of the system using rules of fuzzy productions, requiring the description input and output variables as linguistic ones. These preliminary actions are governing actions for a doctor during scheduling of the further inspection of the patient in order to reveal the assumed disease. Formation of the rules of fuzzy production is a first stage in the creation of intellectual system for electromyography with the use of fuzzy logic technology. Computer realization of the algorithm is carried out in the software environment МATLAB 7 with the help of FIS toolbox.
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