Open AccessInformation-analytical system of cardiographic information functional diagnostics
Author(s) -
V. V. Grigorenko,
Valeriy Eskov,
N. B. Nazina,
Anton Egorov
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1515/5/052027
Subject(s) - computer science , attractor , pairwise comparison , chaotic , dynamical systems theory , state (computer science) , state vector , complex system , data mining , artificial intelligence , algorithm , mathematics , physics , mathematical analysis , quantum mechanics , classical mechanics
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.