SciELO - Scientific Electronic Library Online

 
vol.40 número1Percepción de las medidas de salud pública en Perú para frenar el avance de la COVID-19Validación de una escala para evaluar las motivaciones para estudiar Estomatología (MEEC-7) en Cuba índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

  • No hay articulos citadosCitado por SciELO

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista Cubana de Investigaciones Biomédicas

versión impresa ISSN 0864-0300versión On-line ISSN 1561-3011

Resumen

RODRIGUEZ VELASQUEZ, Javier Oswaldo et al. Heart dynamics diagnosis based on entropy proportions. Rev Cubana Invest Bioméd [online]. 2021, vol.40, n.1, e846.  Epub 01-Abr-2021. ISSN 0864-0300.

Introduction:

The normal and abnormal heart rate values recorded on ambulatory or continuous electrocardiographic devices have been characterized with novel diagnostic methodologies developed in the context of dynamic systems and entropy theory.

Objective:

Through a blind study, evaluate the heart dynamics of adults taking into account their behavior in the context of dynamic systems theory and entropy proportions.

Methods:

A diagnostic test was conducted through a 500 Holter blind study, applying a novel methodology based on the entropy proportions of the numerical attractor constructed with the values registered on the Holter device. To achieve this end, maximum and minimum heart rate values for each hour, as well as the number of beats, were obtained from each Holter device for at least 18 hours. Based on these values, a numerical attractor was generated which quantified the probability of consecutive heart rate pairs. Each dynamic was evaluated in terms of entropy values and their proportions. These results were then compared with the conventional clinical evaluation, estimating the sensitivity and specificity as well as the kappa coefficient.

Results:

Differences were found between the dynamics of normal and abnormal cases, in the heart dynamics evaluated in 18 hours, finding sensitivity and specificity values of 100% and a kappa coefficient of 1, with respect to conventional clinical diagnosis.

Conclusions:

Entropy values and their proportions make it possible to quantitatively differentiate the normality of the disease in heart dynamics for a minimum of 18 hours.

Palabras clave : diagnosis; non-linear systems; mathematics; entropy; cardiology.

        · resumen en Español     · texto en Español     · Español ( pdf )