Table of Contents
International Scholarly Research Notices
Volume 2014, Article ID 673232, 6 pages
Research Article

HRV Analysis: A Clinical and Diagnostic Tool in Chronic Obstructive Pulmonary Disease

1Departamento de Fisioterapia, Universidade Estadual Paulista (UNESP), Presidente Prudente, SP, Brazil
2Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Gipsy Lane, Oxford OX3 0BP, UK

Received 11 March 2014; Accepted 20 May 2014; Published 15 July 2014

Academic Editor: Raphael Schneider

Copyright © 2014 Aline Fernanda Barbosa Bernardo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study’s aim is to analyze heart rate dynamics in subjects with chronic obstructive pulmonary disease (COPD) by measures of heart rate variability (HRV). HRV is a simple and noninvasive measure of autonomic impulses. 38 adults were divided into two equal groups based on respiratory function: COPD and normal. HRV was monitored in the supine position for 30 minutes. After tests of normality, Kruskal-Wallis was used for the statistical analysis, with the level of significance set at . Principal component analysis identified two components representing 99.5% of total variance. Furthermore, it is suggested that the chaos forward parameter (CFP) which applies all three “chaotic globals” is the most influential, although others are statistically more significant. The COPD subjects exhibited a decrease in the CFP. COPD can be termed a dynamical condition, decreasing the chaotic response. The perceived benefits of such analysis include quantitative assessment and suitable pharmacological intervention in the respiratory condition, especially of other related dynamical diseases such as cardiac failure.