Clinical Application of a Cardiac Diagnostic Method Based on Dynamic Systems Theory

Juan Mauricio Pardo Oviedo, Javier Rodríguez-Velásquez, Signed Prieto, Catalina Correa, Darío Domínguez, Juan Mauricio Pardo Oviedo, Fernán Mendoza, Yolanda Soracipa , Nancy Olarte , Diana Margarita Cardona, Laura Méndez

Research output: Contribution to journalArticle

Abstract

Background: A new methodology based on dynamical systems theory has been developed to differentiate normal cardiac dynamic from acute
illness by calculating the space occupation of chaotic geometric attractors in the phase space. Objective: The purpose of this study was to apply
this methodology to confirm its clinical applicability and the relation between the measures and the appearance of arrhythmic electrical storms.
Methodology: There were analyzed 200 holters. The minimum and maximal heart rate and the number of beats per hour were selected. Then,
a simulation for constructing the attractor of each cardiac dynamic in the phase space was made. Fractal dimension and space occupation of the
attractors with the two grids were calculated according to the box-counting method and the differentiating parameters of normality and acute
disease were applied. Sensibility, specificity and kappa coefficient were calculated for evaluating diagnostic concordance. Fractal dimension
for normal holters was between 1,621 and 1,970 and between 1,268 and 1,784 for holters with arrhythmic electrical storm. It was not possible
to identify differences between groups with mathematical values of fractal dimension. Results: However, space occupation of normal dynamic
attractors was always greater than 200 with the 5 beats minG1
grid and space occupation of cases with arrhythmia was between 31 and 60,
close to space occupation of cases with acute myocardial infarction, which was between 19 and 23. Conclusion: This study confirmed the clinical
applicability of the methodology. It detects when a cardiac dynamic exhibits a progressive diminution of spatial occupation, which is useful to
distinguish the cases with arrhythmic electrical storm from cases with chronic arrhythmias or normal dynamic. These findings could be useful to
predict appearance of arrhythmic electrical storms
Original languageEnglish (US)
Pages (from-to)1-7
Number of pages7
JournalResearch Journal of Cardiology
Volume10
Issue number1
DOIs
StatePublished - 2017

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Systems Theory
Fractals
Cardiac Arrhythmias
Acute Disease
Occupations
Heart Rate
Myocardial Infarction

Cite this

Pardo Oviedo, Juan Mauricio ; Rodríguez-Velásquez, Javier ; Prieto, Signed ; Correa, Catalina ; Domínguez, Darío ; Pardo Oviedo, Juan Mauricio ; Mendoza, Fernán ; Soracipa , Yolanda ; Olarte , Nancy ; Cardona, Diana Margarita ; Méndez, Laura. / Clinical Application of a Cardiac Diagnostic Method Based on Dynamic Systems Theory. In: Research Journal of Cardiology. 2017 ; Vol. 10, No. 1. pp. 1-7.
@article{a714150957f44f2a9558be431f975d9f,
title = "Clinical Application of a Cardiac Diagnostic Method Based on Dynamic Systems Theory",
abstract = "Background: A new methodology based on dynamical systems theory has been developed to differentiate normal cardiac dynamic from acuteillness by calculating the space occupation of chaotic geometric attractors in the phase space. Objective: The purpose of this study was to applythis methodology to confirm its clinical applicability and the relation between the measures and the appearance of arrhythmic electrical storms.Methodology: There were analyzed 200 holters. The minimum and maximal heart rate and the number of beats per hour were selected. Then,a simulation for constructing the attractor of each cardiac dynamic in the phase space was made. Fractal dimension and space occupation of theattractors with the two grids were calculated according to the box-counting method and the differentiating parameters of normality and acutedisease were applied. Sensibility, specificity and kappa coefficient were calculated for evaluating diagnostic concordance. Fractal dimensionfor normal holters was between 1,621 and 1,970 and between 1,268 and 1,784 for holters with arrhythmic electrical storm. It was not possibleto identify differences between groups with mathematical values of fractal dimension. Results: However, space occupation of normal dynamicattractors was always greater than 200 with the 5 beats minG1 grid and space occupation of cases with arrhythmia was between 31 and 60,close to space occupation of cases with acute myocardial infarction, which was between 19 and 23. Conclusion: This study confirmed the clinicalapplicability of the methodology. It detects when a cardiac dynamic exhibits a progressive diminution of spatial occupation, which is useful todistinguish the cases with arrhythmic electrical storm from cases with chronic arrhythmias or normal dynamic. These findings could be useful topredict appearance of arrhythmic electrical storms",
author = "{Pardo Oviedo}, {Juan Mauricio} and Javier Rodr{\'i}guez-Vel{\'a}squez and Signed Prieto and Catalina Correa and Dar{\'i}o Dom{\'i}nguez and {Pardo Oviedo}, {Juan Mauricio} and Fern{\'a}n Mendoza and Yolanda Soracipa and Nancy Olarte and Cardona, {Diana Margarita} and Laura M{\'e}ndez",
year = "2017",
doi = "10.3923/rjc.2017",
language = "English (US)",
volume = "10",
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Pardo Oviedo, JM, Rodríguez-Velásquez, J, Prieto, S, Correa, C, Domínguez, D, Pardo Oviedo, JM, Mendoza, F, Soracipa , Y, Olarte , N, Cardona, DM & Méndez, L 2017, 'Clinical Application of a Cardiac Diagnostic Method Based on Dynamic Systems Theory', Research Journal of Cardiology, vol. 10, no. 1, pp. 1-7. https://doi.org/10.3923/rjc.2017

Clinical Application of a Cardiac Diagnostic Method Based on Dynamic Systems Theory. / Pardo Oviedo, Juan Mauricio; Rodríguez-Velásquez, Javier; Prieto, Signed; Correa, Catalina; Domínguez, Darío; Pardo Oviedo, Juan Mauricio; Mendoza, Fernán; Soracipa , Yolanda; Olarte , Nancy ; Cardona, Diana Margarita; Méndez, Laura.

In: Research Journal of Cardiology, Vol. 10, No. 1, 2017, p. 1-7.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Clinical Application of a Cardiac Diagnostic Method Based on Dynamic Systems Theory

AU - Pardo Oviedo, Juan Mauricio

AU - Rodríguez-Velásquez, Javier

AU - Prieto, Signed

AU - Correa, Catalina

AU - Domínguez, Darío

AU - Pardo Oviedo, Juan Mauricio

AU - Mendoza, Fernán

AU - Soracipa , Yolanda

AU - Olarte , Nancy

AU - Cardona, Diana Margarita

AU - Méndez, Laura

PY - 2017

Y1 - 2017

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DO - 10.3923/rjc.2017

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JF - Research Journal of Cardiology

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