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Wednesday, 24 April 2024

Success Stories

New Technologies for the Heart(6/37)

Project Manager, Professor Igor Voytovych, has worked at the Glushkov Institute of Cybernetics for over 40 years and is the author of more than 200 scientific publications, including over 60 inventions and one monograph. Most importantly, he is an outstanding expert in the field of superconductor electronics, microelectronics, element structures in computer engineering and instrument-making. His major field of applied research lies in the application of superconductive devices to biomedical technologies.
Professor Voytovych started his collaboration with the STCU in Project No2187, Supersensitive Magnetocardiographic (MCG) Complex for Early Recognition, Precise Diagnoses and Monitoring of Heart Diseases in 2001. The purpose of the Project was to create software and hardware MCG complexes to register magnetic signals from the human heart, automatic signal processing, and to visualize electro-physiological processes occurring within the cardiocycle. The result was the production of a complex based on the original supersensitive relaxation-oscillation SQUID-magnetometer and signal processing methods.
Benefits of MCG over other techniques aimed at examining the electric activity of the heart are supplied by its exceptional sensitivity and signal independence from the impact of a multi-layer electro-conductive medium, such as human tissue. In addition, contact-free, non-invasive properties combined with ultimate safety make the MCG invaluable for various applications in diagnosing heart disease at different stages of progress and for estimating altered conditions in the heart affected by medical treatment and instrumental invasion.
The application of MCG mapping has allowed for the development of fundamentally new methods of exploring the processes of de- and re-polarization occurring in individuals of no cardinal pathology, and for searching diagnostic criteria for different pathologies of the heart and providing their comparative validation against normal indicators.

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