Functional correlates of fractal behavior of HRV in COPD patients

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

doi:10.1007/978-3-642-03882-2-69

Functional correlates of fractal behavior of HRV in COPD patients

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

Istituti Clinici Scientifici Maugeri Spa – Società Benefit

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IFMBE Proceedings
Pages	261-264
Number of pages	4
Volume	25
Edition	4
DOIs	https://doi.org/10.1007/978-3-642-03882-2-69
Publication status	Published - 2009
Event	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany Duration: Sep 7 2009 → Sep 12 2009

Other

Other	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country	Germany
City	Munich
Period	9/7/09 → 9/12/09

Keywords

COPD
Fractal analysis
HRV

ASJC Scopus subject areas

Biomedical Engineering
Bioengineering

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D'Addio, G, Accardo, A, Corbi, G, Ferrara, N & Rengo, F 2009, Functional correlates of fractal behavior of HRV in COPD patients. in IFMBE Proceedings. 4 edn, vol. 25, pp. 261-264, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 9/7/09. https://doi.org/10.1007/978-3-642-03882-2-69

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AU - Accardo, A.

AU - Corbi, G.

AU - Ferrara, N.

AU - Rengo, F.

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N2 - 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

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