Title :
Fractal dimension and power-law behavior reproducibility and correlation in chronic heart failure patients
Author :
Accardo, A. ; D´Addio, G. ; Maestri, R. ; Vitale, D. ; Furgi, G. ; Rengo, F.
Author_Institution :
DEEI, Univ. of Trieste, Trieste, Italy
Abstract :
Nonlinear analysis of HRV, particularly the fractal dimension and 1/f beta parameters, has been recognized to provide valuable information in the prognostic classification of cardiac patients. The reproducibility of these methods, however, is not known. In this study we addressed these issues in a population of chronic heart failure (CHF) patients. We analyzed 3 ECG Holter recordings from 22 clinically stable CHF patients by 1/f log scaling of power spectrum and the fractal dimension of the HRV curve, assessing the reproducibility of each index. Our results show that Fractal dimension parameter exhibits similar reproducibility and a higher reliability than both 1/f and spectral parameters. Moreover, we found that fractal dimension index is quite correlated with 1/f slope and describe possibly complementary aspects of heart rate dynamics.
Keywords :
electrocardiography; fractals; medical signal processing; signal classification; 1/f beta parameters; 1If log scaling; 1If slope; ECG Holter recordings; cardiac patients; chronic heart failure patients; clinically stable CHF patients; fractal dimension parameter; heart rate dynamics; nonlinear analysis; power spectrum; power-law behavior reproducibility; prognostic classification; spectral parameters; Fractals; Heart rate variability; Indexes; Physiology; Pregnancy; Reliability;
Conference_Titel :
Signal Processing Conference, 2002 11th European
Conference_Location :
Toulouse