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Information-analytical system of cardiographic information functional diagnostics

V. V. Grigorenko, В. М. Еськов, N B Nazina, Anton Egorov

2020Journal of Physics Conference Series20 citationsDOIOpen Access PDF

Abstract

Abstract The article considers the Information-analytical system of cardiographic information functional diagnostics, which allows expanding the functionality of using miniature medical devices for non-invasive diagnostics of parameters of complex dynamic biomedical systems, using the example of cardio-intervals of the cardiovascular system. The system is based on not only the methods of the deterministic-stochastic approach but also the methods of the theory of chaos-self-organization, as a new scientific approach in the natural sciences. The method is based on calculating the parameters of quasi attractors and analyzing matrices of pairwise comparisons of time series of complex biomedical systems, which allows quantitatively and qualitatively describing the chaotic dynamics of the system state vector behaviour, obtaining objective information about changes in the functional state of the system, and also warning about these changes in time (if pathologies), which creates conditions for the status of the functional systems of the human body physiological monitoring.

Topics & Concepts

Computer scienceAttractorPairwise comparisonChaoticDynamical systems theoryState (computer science)State vectorComplex systemData miningArtificial intelligenceAlgorithmMathematicsPhysicsQuantum mechanicsClassical mechanicsMathematical analysisFusion and Plasma Physics StudiesTechnology and Human Factors in Education and Health
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