METHOD OF AUTOMATED DETERMINATION OF EARLY SIGNS OF PULMONARY HYPERTENSION

Abstract

An urgent problem of modern diagnostic methods of medicine is the development of non-invasive methods that use information signal processing systems from the biological object of research. An expedient technical solution to such problems is the use of artificial intelligence in systems and complexes that combine diagnostic functions based on the parameters of the patient's physiological condition.The consequences of the development of physiological pathologies in the human body, such as pathologies of the cardiovascular system, are the possibility of the occurrence of pulmonary hypertension and its varieties, which depend on the characteristics of the hemodynamics of the small blood circulation, increasing the pressure in the pulmonary blood circulation. These features of the disease can lead to the development of pulmonary arterial hypertension. It is proposed to implement the method of applying the feedback chain. Thus, the feedback principle makes it possible to implement a program that calculates the measured values of the parameters of the patient's functional state, and then compares them with the limit values of these parameters to obtain a final conclusion and provide results simultaneously to the doctor and the user. From the obtained results, it can be seen that the time of obtaining preliminary diagnostic results according to the proposed implementation scheme of the method is ten times faster under the condition of using the feedback method than with traditionally applied methods. The main criteria for the reliability and speed of the work of determining critical situations with the help of developed algorithms for the implementation of the methodology for determining the early signs of pulmonary hypertension and its consequences are proposed. It is important to note that despite the fact that the results are obtained extremely quickly, the final diagnosis is made by the doctor based on his own observations and analysis of the patient's current condition. Algorithms for the implementation of the method are proposed, whichapply the principles of operation of a portable complex based on a monitor to obtain continuous characteristics of the patient's condition and transmit them in the mode of using the principles of telemedicine to determine the diagnosis.The principles of the functioning of automated diagnostic systems, which are intended for monitoring, obtained in the work can be the basis for the further creation of new methods and improvement of automated diagnostic systems and the identification of early signs of violations of the patient's functional state of the diagnostic tools.