Functional correlates of fractal behavior of HRV in COPD patients

Gianni D'Addio, A. Accardo, G. Corbi, N. Ferrara, F. Rengo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although ECG monitoring demonstrating heart rate abnormalities and sudden death is common in chronic obstructive pulmonary disease (COPD), autonomic imbalance (AI) is occasionally assessed in these patients. Heart rate variability (HRV) is a well-recognized tool in AI investigation. It has been suggested that nonlinear HRV analysis might provide more valuable information than traditional time-domain indexes (TDI). Fractal (F) analysis is an emerging nonlinear technique and this is one of the first studies on HRV F-features in COPD. Aim of the study was to evaluate if HRV F-behavior reflects COPD severity better than TDI. We studied 40 COPD patients and 10 normal subjects. All underwent 24h-Holter ECG, measuring TDI (SD, PNN50, MSSD). F-analysis was calculated: 1)by the F-dimension (FD) extracted from beat-to-beat series (RR) by Higuchi's algorithm; 2)by the slope (beta) of the RR power spectral density. Both FD and SD showed a significant (p

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages261-264
Number of pages4
Volume25
Edition4
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period9/7/099/12/09

Keywords

  • COPD
  • Fractal analysis
  • HRV

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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