Development of a sequence automaton for recognition of deviations indicators in diagnosis of natural systems

Abstract

Much attention is now being paid to the development of automated devices for rapid disease diagnosis in veterinary medicine and medicine in general. One of the directions in medical instrumentation designing is the development of methods for automated disease diagnosis. This article is devoted to the automatization of pathology detection in histological analysis. The topology of pathologies of morphostructural changes in cells may have a tree-like structure, which makes the development of methods, software and hardware implementation of tools relevant for determination of the disease pathology. The three-level pathology system of structural changes in cell tissues obtained by histological analysis has been studied. It was suggested to use sequential logic, based on the Mealy machine, for the development of automated system for pathology indicators detection. Hartley binary measure for this topology of structural changes in tissues has been calculated and the indicator encoding has been given. The method of automated diagnosis based on the analysis of pathology indicators has been developed. An example of building an automatic recognition machine of pathology indicators on hard logics considered. It is relevant when using programmable logic device. The logical equations implemented in the combination scheme of the device are obtained. Simulation modeling to identify pathology indicators is performed. It is suggested to use the developed method of determining the disease indicators when designing the automated histological analyzer.