Modification of the Software System for the Automated Determination of Morphological and Rhythmic Diagnostics Signs by Electrocardio Signals
- Author(s)
- Serhii Lupenko, Iaroslav Lytvynenko, Nataliia Stadnyk, Halyna Osukhivska, Natalia Kryvinska
- Abstract
In this paper we consider a modernized of the software system for the automated determination of morphological and rhythmic diagnostic signs of electrocardio signal. The modification of the system is to create a new method and appropriate software that involves processing electrocardio signals by reducing the discrete cyclic random process, as a model of electrocardio signal to isomorphic random periodic sequence. The use of a new mathematical model of electrocardio signals in the form of conditional discrete cyclic random process allowed to take into account and carry out automatic determination of both morphological and rhythmic diagnostic sings of electrocardio signal within the same mathematical model. The use of a new method of statistical processing based on the new model, allowed to obtain statistical characteristics that are infomative diagnostic signs (morphological and signs of rhythm) of the electrocardio signal. The application of the method of reducing a discrete cyclic random process to isomorphic random periodic sequence before the procedures of statistical processing of the electrocardio signal, in particular before obtaining morphological and rhythmic sings allowed to increase the speed of automated processing of the electrocardio signal in comparison with the previously developed methods which were based on it model in the form of a cyclic random process and did not account for the double stochastic model.In the structure of the modified software system, after the evaluation of the rhythmic structure of the electrocardio signal and the procedure of reduction to a random periodic sequence of a discrete cyclic random process, its processing is branched into two parallel stages. The first stage carries out the morphological analysis, which involves the statistical processing of the electrocardio signal, normalization of statistical estimates and their distribution in the Chebyshev base and decision making on the obtained morphological sings.
- Organisation(s)
- Department of Marketing and International Business
- External organisation(s)
- Ternopil Ivan Puluj National Technical University
- Pages
- 36-46
- Publication date
- 2020
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 502050 Business informatics
- Keywords
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/88b912e9-f622-495e-b518-6f4472428a94