Prof. Dr. Leonid Fainzilberg
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Department of Biomedical Cybernetics
CV: Topic of Dr. Sci. Dissertation (2004): «Methods and tools for estimating the state of an object from signals with locally concentrated features»
Author more than 300 scientific works and inventions, including 8 books.: The international cooperation:
• licensing agreements with TESCO on device CARBON (Hungary, Ozd, 1984-1987),
• joint project with LUM GmbH on program Transform. (Germany, Berlin, 1997-2000),
• joint project with SQWID AG company (Germany, Essen, 1999-2002) Academic disciplines:
• Decision Making Theory,
• Fundamentals of Artificial Intelligence.
Scopus Author ID: 6508231615 (52 Citations in 42 papers, h-index 4) ORCID 0000-0002-3092-0794 Google Scholar (1277 Citations , h-index 19)
Presentation title: MATHEMATICAL METHODS AND INTELLIGENT COMPUTER TOOLS FOR ANALYSIS AND INTERPRETATION OF CYCLICAL SYGNALS IN DIGITAL MEDICINE
Abstract: Typical examples of cyclic signals are electrocardiograms, rheograms, photoplethysmograms and other biomedical signals reflecting to the cyclic nature of the work of the circulatory and respiratory systems of a living organism. The report develops efficient mathematical methods, original computational procedures and intelligent computer tools that provide processing of cyclic signals for preventive and clinical medicine. Proposed approaches are based on a stochastic model of generating a cyclic process according to a reference pattern that has diagnostic value under internal and external disturbances. As a result of such distortions, informative fragments that characterize the regular features of the process under study can be hidden from the researcher. The proposed mathematical methods and intelligent computer procedures are aimed at restoration of the form of the reference pattern of the studied cyclic process hidden by perturbations. On the basis of the proposed approach, original preventive medicine tool.