Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems

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Introduction: an exponential law has been found for chaotic dynamic cardiac systems, making it possible to quantify the differences between normal and pathological cardiac dynamics. Methodology: 120 electrocardiographic records were analyzed, 40 corresponded to subjects within the limits of normalit...

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Autores principales: Prieto Bohórquez, Signed Esperanza, Rodríguez Velásquez, Javier Oswaldo, Correa Herrera, Catalina, Pardo Oviedo, Juan Mauricio, Ardila, Javier
Formato: Artículo revista
Lenguaje:Español
Publicado: Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología 2017
Materias:
Caos
fractales
ley caótica
dinámica cardiaca
diagnóstico
arritmia
chaos
fractal
law
chaotic law
cardiac dynamics
diagnosis
arrhythmia
Acceso en línea:https://revistas.unc.edu.ar/index.php/med/article/view/16308
Aporte de:
Revistas de la UNC de Universidad Nacional de Córdoba
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institution Universidad Nacional de Córdoba
institution_str I-10
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container_title_str Revistas de la UNC
language Español
format Artículo revista
topic Caos
fractales
ley caótica
dinámica cardiaca
diagnóstico
arritmia
chaos
fractal
law
chaotic law
cardiac dynamics
diagnosis
arrhythmia
spellingShingle Caos
fractales
ley caótica
dinámica cardiaca
diagnóstico
arritmia
chaos
fractal
law
chaotic law
cardiac dynamics
diagnosis
arrhythmia
Prieto Bohórquez, Signed Esperanza
Rodríguez Velásquez, Javier Oswaldo
Correa Herrera, Catalina
Pardo Oviedo, Juan Mauricio
Ardila, Javier
Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems
topic_facet Caos
fractales
ley caótica
dinámica cardiaca
diagnóstico
arritmia
chaos
fractal
law
chaotic law
cardiac dynamics
diagnosis
arrhythmia
author Prieto Bohórquez, Signed Esperanza
Rodríguez Velásquez, Javier Oswaldo
Correa Herrera, Catalina
Pardo Oviedo, Juan Mauricio
Ardila, Javier
author_facet Prieto Bohórquez, Signed Esperanza
Rodríguez Velásquez, Javier Oswaldo
Correa Herrera, Catalina
Pardo Oviedo, Juan Mauricio
Ardila, Javier
author_sort Prieto Bohórquez, Signed Esperanza
title Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems
title_short Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems
title_full Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems
title_fullStr Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems
title_full_unstemmed Evaluation in 18 hours of Cardiac Dynamics with the Mathematical Law of Dynamic Systems
title_sort evaluation in 18 hours of cardiac dynamics with the mathematical law of dynamic systems
description Introduction: an exponential law has been found for chaotic dynamic cardiac systems, making it possible to quantify the differences between normal and pathological cardiac dynamics. Methodology: 120 electrocardiographic records were analyzed, 40 corresponded to subjects within the limits of normality and 80 with different pathologies. For each holter the attractors generated with the data during 18 hours and throughout the dynamics were analyzed. The fractal dimension of the attractor and its spatial occupation were calculated. To these measures was applied the diagnosis mathematical evaluation previously developed, comparing the evaluation for 18 hours and for the whole registry; sensitivity, specificity and Kappa coefficient were finally calculated. Results: For the normal dynamics, the occupancy spaces in the Kp grid were between 200 and 381 for the evaluation of the whole holter, and between 201 and 384 in the evaluation during 18 hours, showing the closeness in the measurements, which allows that the decrease in the time of the evaluation is consistent, this same proximity was observed for the diseased and acute dynamics. Conclusion: It was evidenced the clinical applicability in 18 hours of the exponential law in the chaotic cardiac dynamics associated with arrhythmias showing to be useful for the prediction of the evolution towards acute states of the dynamics
publisher Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
publishDate 2017
url https://revistas.unc.edu.ar/index.php/med/article/view/16308
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