Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit

Background: Based on the theory of probability and not equiprobable entropy ratios in the context of dynamical systems theory, a methodology for cardiac dynamic evaluation was developed. Objectives: To confirm the clinical applicability of the diagnostic methodology based on probability and entropy...

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Autores principales: Rodriguez, Javier Oswaldo, Prieto Bohórquez, Signed Esperanza, Correa, Catalina, Pardo, Juan, Soracipa, Yolanda, Beltrán, Ricardo, Aguirre, Gydnea, Méndez, Laura
Formato: Artículo revista
Lenguaje:Español
Inglés
Publicado: Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología 2018
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Acceso en línea:https://revistas.unc.edu.ar/index.php/med/article/view/16342
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record_format ojs
institution Universidad Nacional de Córdoba
institution_str I-10
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container_title_str Revistas de la UNC
language Español
Inglés
format Artículo revista
topic diagnosis
entropy
probability
arrhythmias
cardiac.
diagnóstico
entropía
probabilidad
Arritmias Cardíacas
spellingShingle diagnosis
entropy
probability
arrhythmias
cardiac.
diagnóstico
entropía
probabilidad
Arritmias Cardíacas
Rodriguez, Javier Oswaldo
Prieto Bohórquez, Signed Esperanza
Correa, Catalina
Pardo, Juan
Soracipa, Yolanda
Beltrán, Ricardo
Aguirre, Gydnea
Méndez, Laura
Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit
topic_facet diagnosis
entropy
probability
arrhythmias
cardiac.
diagnóstico
entropía
probabilidad
Arritmias Cardíacas
author Rodriguez, Javier Oswaldo
Prieto Bohórquez, Signed Esperanza
Correa, Catalina
Pardo, Juan
Soracipa, Yolanda
Beltrán, Ricardo
Aguirre, Gydnea
Méndez, Laura
author_facet Rodriguez, Javier Oswaldo
Prieto Bohórquez, Signed Esperanza
Correa, Catalina
Pardo, Juan
Soracipa, Yolanda
Beltrán, Ricardo
Aguirre, Gydnea
Méndez, Laura
author_sort Rodriguez, Javier Oswaldo
title Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit
title_short Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit
title_full Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit
title_fullStr Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit
title_full_unstemmed Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit
title_sort proportional entropy of normal cardiac dynamic and with arrhythmia in the intensive care unit
description Background: Based on the theory of probability and not equiprobable entropy ratios in the context of dynamical systems theory, a methodology for cardiac dynamic evaluation was developed. Objectives: To confirm the clinical applicability of the diagnostic methodology based on probability and entropy for patients with different types of arrhythmia assessing the degree of intensification in the ICU through its characteristic proportions. Methods: 80 Holter records from ICU diagnosed with arrhythmia and 20 normal were analyzed. Holter clinical findings were masked and were taken from them the maximum and minimum values of heart rate and total number of beats per minute to build the numerical attractor for each dynamics. Probability, entropy, S/k ratio, and proportions of entropy were evaluated, establishing its mathematical diagnosis and quantifying its severity level. Results: It was shown that the methodology difference in all cases normal of abnormal dynamics, obtaining a sensitivity and specificity of 100 % and Kappa coefficient of 1, showing that it is also possible to establish quantitatively the degree of exacerbation. Conclusions: The methodology developed is useful in clinical practice to correlate the severity of arrhythmias with physical and mathematical predictions of exacerbation.
publisher Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
publishDate 2018
url https://revistas.unc.edu.ar/index.php/med/article/view/16342
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spelling I10-R10-article-163422019-05-20T10:54:31Z Proportional entropy of normal cardiac dynamic and with arrhythmia in the Intensive Care Unit Entropía proporcional de dinámicas cardiacas normales y con arritmia en la unidad de cuidados intensivos Rodriguez, Javier Oswaldo Prieto Bohórquez, Signed Esperanza Correa, Catalina Pardo, Juan Soracipa, Yolanda Beltrán, Ricardo Aguirre, Gydnea Méndez, Laura diagnosis entropy probability arrhythmias cardiac. diagnóstico entropía probabilidad Arritmias Cardíacas Background: Based on the theory of probability and not equiprobable entropy ratios in the context of dynamical systems theory, a methodology for cardiac dynamic evaluation was developed. Objectives: To confirm the clinical applicability of the diagnostic methodology based on probability and entropy for patients with different types of arrhythmia assessing the degree of intensification in the ICU through its characteristic proportions. Methods: 80 Holter records from ICU diagnosed with arrhythmia and 20 normal were analyzed. Holter clinical findings were masked and were taken from them the maximum and minimum values of heart rate and total number of beats per minute to build the numerical attractor for each dynamics. Probability, entropy, S/k ratio, and proportions of entropy were evaluated, establishing its mathematical diagnosis and quantifying its severity level. Results: It was shown that the methodology difference in all cases normal of abnormal dynamics, obtaining a sensitivity and specificity of 100 % and Kappa coefficient of 1, showing that it is also possible to establish quantitatively the degree of exacerbation. Conclusions: The methodology developed is useful in clinical practice to correlate the severity of arrhythmias with physical and mathematical predictions of exacerbation. ResumenAntecedentes: Con base en la teoría de la probabilidad y las proporciones de la entropía no equiprobable en el contexto de la teoría de los sistemas dinámicos se desarrolló una metodología de evaluación de la dinámica cardiaca.Objetivo: Confirmar la aplicabilidad clínica de la metodología diagnóstica basada en la probabilidad y la entropía para pacientes con diferentes tipos de arritmia evaluando el grado de agudización en la UCI por medio de sus proporciones características.Métodos: Se analizaron 80 registros Holter de la UCI con diagnóstico de arritmia y 20 normales. Se enmascararon las conclusiones clínicas del Holter y se tomaron de este los valores máximo, mínimo de frecuencia cardiaca y número total de latidos por hora para construir el atractor numérico para cada dinámica. Se calculó la probabilidad, la entropía, la relación S/k, y se evaluaron las proporciones de la entropía, estableciendo su diagnóstico matemático y cuantificando su nivel de gravedad.Resultados: Se demostró que la metodología diferencia en todos los casos dinámicas normales de anormales, obteniendo valores de sensibilidad y especificidad de 100% y coeficiente Kappa de 1, evidenciando que es posible además establecer cuantitativamente el grado de agudización.Conclusiones: La metodología desarrollada es útil en la práctica clínica para correlacionar la gravedad de las arritmias con predicciones de agudización físicas y matemáticas. Palabras Clave: diagnóstico, entropía, probabilidad, Arritmias Cardíacas. Universidad Nacional Cba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología 2018-02-27 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/pdf application/pdf application/vnd.openxmlformats-officedocument.spreadsheetml.sheet application/vnd.openxmlformats-officedocument.spreadsheetml.sheet https://revistas.unc.edu.ar/index.php/med/article/view/16342 Revista de la Facultad de Ciencias Médicas de Córdoba.; Vol. 75 No. 1 (2018); 32-40 Revista de la Facultad de Ciencias Médicas de Córdoba; Vol. 75 Núm. 1 (2018); 32-40 Revista da Faculdade de Ciências Médicas de Córdoba; v. 75 n. 1 (2018); 32-40 1853-0605 0014-6722 10.31053/1853.0605.v75.n1 spa eng https://revistas.unc.edu.ar/index.php/med/article/view/16342/20048 https://revistas.unc.edu.ar/index.php/med/article/view/16342/21312 https://revistas.unc.edu.ar/index.php/med/article/view/16342/26322 https://revistas.unc.edu.ar/index.php/med/article/view/16342/26323 https://revistas.unc.edu.ar/index.php/med/article/view/16342/26324 Derechos de autor 2018 Universidad Nacional de Córdoba