Thermodynamic efficiency of the cardiac cycle and irreversibility in the interbeat interval time series

Authors

  • Alejandro Muñoz Diosdado Departamento de Ciencias Básicas, Unidad Profesional Interdisciplinaria de Biotecnología del Instituto Politécnico Nacional.
  • Gonzalo Gálvez Coyt Departamento de Ciencias Básicas, Unidad Profesional Interdisciplinaria de Biotecnología del Instituto Politécnico Nacional
  • Alejandro Alonso Martínez Departamento de Ciencias Básicas, Unidad Profesional Interdisciplinaria de Biotecnología del Instituto Politécnico Nacional

Abstract

 

Cardiac cycle can be analyzed as a thermodynamic cycle, however, the inherent variability of this cycle implies that, although in the short term the cycle is quasi-reversible, in the long term is irreversible. This work discusses two important aspects of the cardiac cycle related with thermodynamic concepts: the calculation of the cycle’s efficiency and the quantification of the irreversibility of interbeat interval time series. The results show that there is a variability of cardiac efficiency along the day for both healthy and congestive heart failure (CHF) patients, and there is a substantial reduction in efficiency for CHF patients. If time reversibility on different scales is taken into account, methods as spectral power, fractal dimension and detrended fluctuation analysis (DFA) give the same results, but if the analysis is performed with the multiscale time irreversibility method applied to the interbeat interval time series, it results that the interbeat interval time series of healthy persons are irreversible and time series of CHF patients tend to reversibility.

Downloads

Download data is not yet available.

Published

2018-02-13

How to Cite

Muñoz Diosdado, A., Gálvez Coyt, G., & Martínez, A. A. (2018). Thermodynamic efficiency of the cardiac cycle and irreversibility in the interbeat interval time series. Revista Mexicana De Ingenieria Biomedica, 31(2), 8. Retrieved from http://rmib.com.mx/index.php/rmib/article/view/443

Issue

Section

Research Articles

Dimensions Citation