PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS

Background. Prediction of life-threatening arrhythmias is necessary to analyze the patient's heart condition, anticipate cardiovascular complications (ACC), identify the main problems in the functioning of the patient's heart and assess the risk of ACC. The introduction of medical decisi...

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Autores principales: A.T. Bekbay, K.A. Ozhikenov, O.N. Bodin, A.A. Tuyakbayev
Formato: article
Lenguaje:EN
RU
Publicado: Penza State University Publishing House 2021
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Acceso en línea:https://doaj.org/article/a732c2814ebc4363807e82e9c25a6c0f
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spelling oai:doaj.org-article:a732c2814ebc4363807e82e9c25a6c0f2021-11-24T10:51:41ZPREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS10.21685/2307-5538-2021-3-112307-5538https://doaj.org/article/a732c2814ebc4363807e82e9c25a6c0f2021-11-01T00:00:00Zhttps://doaj.org/toc/2307-5538Background. Prediction of life-threatening arrhythmias is necessary to analyze the patient's heart condition, anticipate cardiovascular complications (ACC), identify the main problems in the functioning of the patient's heart and assess the risk of ACC. The introduction of medical decision support systems as part of the information and measurement system of electrocardiodiagnostics is an urgent task aimed at identifying and analyzing risk factors of and predicting. The purpose of the article is to develop algorithms for detecting life-threatening arrhythmias and to assess the risk of cardiovascular complications. Materials and methods. Algorithms for detecting life-threatening arrhythmias such as atrioventricular block, hemodynamically significant arrhythmia, and the re-entry mechanism are considered. Results and conclusions. It is proposed to use multi-agent technologies for the implementation of the considered algorithms, which make it possible to increase the efficiency of the information and measurement system of electrocardiodiagnostics and optimize the provision of therapeutic and diagnostic medical care from the point of view of individualization. An agent-based approach to the construction of an information and measurement system of electrocardiodiagnostics allows us to functionally distribute the tasks solved by individual intelligent agents (IA), and then integrate the results obtained. A stratification by risk groups of life-threatening arrhythmias has been developed, according to which patients are divided into the following groups: high risk, moderate risk, low risk.A.T. BekbayK.A. OzhikenovO.N. BodinA.A. TuyakbayevPenza State University Publishing Housearticlelife-threatening arrhythmiasalgorithms for detecting life-threatening arrhythmiasmulti-agent technologiesinformation and measurement system of electrocardiodiagnosticsstratification by risk groups of life-threatening arrhythmiasEngineering (General). Civil engineering (General)TA1-2040ENRUИзмерение, мониторинг, управление, контроль, Iss 3 (2021)
institution DOAJ
collection DOAJ
language EN
RU
topic life-threatening arrhythmias
algorithms for detecting life-threatening arrhythmias
multi-agent technologies
information and measurement system of electrocardiodiagnostics
stratification by risk groups of life-threatening arrhythmias
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle life-threatening arrhythmias
algorithms for detecting life-threatening arrhythmias
multi-agent technologies
information and measurement system of electrocardiodiagnostics
stratification by risk groups of life-threatening arrhythmias
Engineering (General). Civil engineering (General)
TA1-2040
A.T. Bekbay
K.A. Ozhikenov
O.N. Bodin
A.A. Tuyakbayev
PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS
description Background. Prediction of life-threatening arrhythmias is necessary to analyze the patient's heart condition, anticipate cardiovascular complications (ACC), identify the main problems in the functioning of the patient's heart and assess the risk of ACC. The introduction of medical decision support systems as part of the information and measurement system of electrocardiodiagnostics is an urgent task aimed at identifying and analyzing risk factors of and predicting. The purpose of the article is to develop algorithms for detecting life-threatening arrhythmias and to assess the risk of cardiovascular complications. Materials and methods. Algorithms for detecting life-threatening arrhythmias such as atrioventricular block, hemodynamically significant arrhythmia, and the re-entry mechanism are considered. Results and conclusions. It is proposed to use multi-agent technologies for the implementation of the considered algorithms, which make it possible to increase the efficiency of the information and measurement system of electrocardiodiagnostics and optimize the provision of therapeutic and diagnostic medical care from the point of view of individualization. An agent-based approach to the construction of an information and measurement system of electrocardiodiagnostics allows us to functionally distribute the tasks solved by individual intelligent agents (IA), and then integrate the results obtained. A stratification by risk groups of life-threatening arrhythmias has been developed, according to which patients are divided into the following groups: high risk, moderate risk, low risk.
format article
author A.T. Bekbay
K.A. Ozhikenov
O.N. Bodin
A.A. Tuyakbayev
author_facet A.T. Bekbay
K.A. Ozhikenov
O.N. Bodin
A.A. Tuyakbayev
author_sort A.T. Bekbay
title PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS
title_short PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS
title_full PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS
title_fullStr PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS
title_full_unstemmed PREDICTION OF LIFE-THREATENING ARRHYTHMIAS IN THE INFORMATION AND MEASUREMENT SYSTEM OF ELECTROCARDIODIAGNOSTICS
title_sort prediction of life-threatening arrhythmias in the information and measurement system of electrocardiodiagnostics
publisher Penza State University Publishing House
publishDate 2021
url https://doaj.org/article/a732c2814ebc4363807e82e9c25a6c0f
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AT kaozhikenov predictionoflifethreateningarrhythmiasintheinformationandmeasurementsystemofelectrocardiodiagnostics
AT onbodin predictionoflifethreateningarrhythmiasintheinformationandmeasurementsystemofelectrocardiodiagnostics
AT aatuyakbayev predictionoflifethreateningarrhythmiasintheinformationandmeasurementsystemofelectrocardiodiagnostics
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