Statistical Analysis of Human Heart Rhythm with Increased Informativeness

Statistical Analysis of Human Heart Rhythm with Increased Informativeness

The new methods of statistical analysis of heart rhythm were developed based on its generalized mathematical model in a form of random rhythm function, that allows to increase the informativeness and detailed analysis of heart rhythm in cardiovascular information systems. Three information criteria...

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Main Authors: Lupenko Serhii, Lutsyk Nadiia, Yasniy Oleh, Sobaszek Łukasz
Format: Article
Language:English
Published: Sciendo 2018-12-01
Series:Acta Mechanica et Automatica
Subjects:
mathematical model
heart rhythm
statistical analysis
diagnosis
information system
Online Access:https://doi.org/10.2478/ama-2018-0047
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spelling doaj-fdf231a936804be2ad35843818973b8c2021-09-06T19:41:06ZengSciendoActa Mechanica et Automatica 2300-53192018-12-0112431131510.2478/ama-2018-0047ama-2018-0047Statistical Analysis of Human Heart Rhythm with Increased InformativenessLupenko Serhii0Lutsyk Nadiia1Yasniy Oleh2Sobaszek Łukasz3Faculty of Computer Information Systems and Software Engineering, Ternopil Ivan Pul’uj National Technical University, 46001, Ruska str. 56, Ternopil, UkraineFaculty of Computer Information Systems and Software Engineering, Ternopil Ivan Pul’uj National Technical University, 46001, Ruska str. 56, Ternopil, UkraineFaculty of Computer Information Systems and Software Engineering, Ternopil Ivan Pul’uj National Technical University, 46001, Ruska str. 56, Ternopil, UkraineInstitute of Technological Systems of Information, Mechanical Engineering Faculty, Lublin University of Technology, ul. Nadbystrzycka 38 D, 20–618LublinThe new methods of statistical analysis of heart rhythm were developed based on its generalized mathematical model in a form of random rhythm function, that allows to increase the informativeness and detailed analysis of heart rhythm in cardiovascular information systems. Three information criteria (BIC, AIC and AICc) were used to determine the cumulative distribution functions that best describe the sample and to assess the unknown parameters of distributions. The usage of the rhythm function to analyse heart rhythm allows to consider much better its time structure that is the basis to improve the accuracy of diagnosis of cardiac rhythm.https://doi.org/10.2478/ama-2018-0047mathematical modelheart rhythmstatistical analysisdiagnosisinformation system
collection DOAJ
language English
format Article
sources DOAJ
author Lupenko Serhii
Lutsyk Nadiia
Yasniy Oleh
Sobaszek Łukasz
spellingShingle Lupenko Serhii
Lutsyk Nadiia
Yasniy Oleh
Sobaszek Łukasz
Statistical Analysis of Human Heart Rhythm with Increased Informativeness
Acta Mechanica et Automatica
mathematical model
heart rhythm
statistical analysis
diagnosis
information system
author_facet Lupenko Serhii
Lutsyk Nadiia
Yasniy Oleh
Sobaszek Łukasz
author_sort Lupenko Serhii
title Statistical Analysis of Human Heart Rhythm with Increased Informativeness
title_short Statistical Analysis of Human Heart Rhythm with Increased Informativeness
title_full Statistical Analysis of Human Heart Rhythm with Increased Informativeness
title_fullStr Statistical Analysis of Human Heart Rhythm with Increased Informativeness
title_full_unstemmed Statistical Analysis of Human Heart Rhythm with Increased Informativeness
title_sort statistical analysis of human heart rhythm with increased informativeness
publisher Sciendo
series Acta Mechanica et Automatica
issn 2300-5319
publishDate 2018-12-01
description The new methods of statistical analysis of heart rhythm were developed based on its generalized mathematical model in a form of random rhythm function, that allows to increase the informativeness and detailed analysis of heart rhythm in cardiovascular information systems. Three information criteria (BIC, AIC and AICc) were used to determine the cumulative distribution functions that best describe the sample and to assess the unknown parameters of distributions. The usage of the rhythm function to analyse heart rhythm allows to consider much better its time structure that is the basis to improve the accuracy of diagnosis of cardiac rhythm.
topic mathematical model
heart rhythm
statistical analysis
diagnosis
information system
url https://doi.org/10.2478/ama-2018-0047
work_keys_str_mv AT lupenkoserhii statisticalanalysisofhumanheartrhythmwithincreasedinformativeness
AT lutsyknadiia statisticalanalysisofhumanheartrhythmwithincreasedinformativeness
AT yasniyoleh statisticalanalysisofhumanheartrhythmwithincreasedinformativeness
AT sobaszekłukasz statisticalanalysisofhumanheartrhythmwithincreasedinformativeness
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