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心率变异性分析:慢性阻塞性肺疾病的一种临床及诊断工具

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

作者信息

Bernardo Aline Fernanda Barbosa, Vanderlei Luiz Carlos M, Garner David M

机构信息

Departamento de Fisioterapia, Universidade Estadual Paulista (UNESP), Presidente Prudente, SP, Brazil.

Department of Biological and Medical Sciences, Faculty of Health and Life Sciences, Oxford Brookes University, Gipsy Lane, Oxford OX3 0BP, UK.

出版信息

Int Sch Res Notices. 2014 Jul 15;2014:673232. doi: 10.1155/2014/673232. eCollection 2014.

DOI:10.1155/2014/673232
PMID:27433490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4897192/
Abstract

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 P < 0.05. 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.

摘要

本研究旨在通过心率变异性(HRV)测量分析慢性阻塞性肺疾病(COPD)患者的心率动态变化。HRV是一种简单且无创的自主神经冲动测量方法。38名成年人根据呼吸功能被平均分为两组:COPD组和正常组。在仰卧位监测HRV 30分钟。经过正态性检验后,采用Kruskal-Wallis进行统计分析,显著性水平设定为P < 0.05。主成分分析确定了两个代表总方差99.5%的成分。此外,有人认为应用所有三个“混沌全局量”的混沌前向参数(CFP)最具影响力,尽管其他参数在统计学上更显著。COPD患者的CFP降低。COPD可被称为一种动态状况,会降低混沌反应。这种分析的潜在益处包括对呼吸状况进行定量评估以及进行适当的药物干预,尤其是对其他相关的动态疾病,如心力衰竭。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/9ccb0d844f6f/ISRN2014-673232.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/ae6f75920a1b/ISRN2014-673232.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/9953a0c58b78/ISRN2014-673232.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/370f13b68514/ISRN2014-673232.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/9ccb0d844f6f/ISRN2014-673232.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/ae6f75920a1b/ISRN2014-673232.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/9953a0c58b78/ISRN2014-673232.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/370f13b68514/ISRN2014-673232.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a84/4897192/9ccb0d844f6f/ISRN2014-673232.004.jpg

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