DocumentCode
2820383
Title
Autonomic function evaluated by entropy measures of the heart rate variability
Author
Clarià, F. ; Vallverdú, M. ; Martinez, P. ; Alonso, Jl ; Viñolas, X. ; Zareba, W. ; de Luna, A. Bayes ; Caminal, P.
Author_Institution
ESAII, Univ. Politecnica de Catalunya, Barcelona, Spain
fYear
2000
fDate
2000
Firstpage
461
Lastpage
464
Abstract
Measurements of the system complexity analysis have been applied based on the Renyi and Shannon entropies, in order to describe the Heart Rate Variability (HRV). The RR series were obtained from ECG recordings of 117 subjects: Group IDC, containing 53 patients with idiopathic dilated cardiomyopathy; Group NRM, formed by 64 healthy people. Only the night period (O:OO-5:00 h) was considered for time-series analysis. The entropies were calculated in four spectral bands: very low frequency VLF (0-0.04 Hz), low frequency LF (0.04-0.15 Hz), high frequency HF (O.15-0.45 Hz) and in the total band TF (0-0.45 Hz). A study of the lags involved in the calculation of the entropies was carried out. All entropies showed significant statistical differences (p<0.001) comparing IDC and NRM groups, independently of the lag, except those obtained in the VLF band. A linear combination of the entropies, calculated in the HF, LF and VLF bands, permitted the IDC and NRM groups to be characterised
Keywords
biocontrol; electrocardiography; entropy; medical signal processing; neurophysiology; time series; 0 to 0.04 Hz; 0.04 to 0.15 Hz; 0.15 to 0.45 Hz; ECG recordings; IDC group; LF; NRM group; RR series; Renyi entropy; Shannon entropy; VLF; autonomic function; entropy measures; healthy people; heart rate variability; high frequency; idiopathic dilated cardiomyopathy; lags; linear combination; low frequency; night period; patients; spectral bands; statistical differences; system complexity analysis; time-series analysis; total band; very low frequency; Analysis of variance; Cardiology; Electrocardiography; Entropy; Finite impulse response filter; Frequency; Hafnium; Heart rate variability; Nervous system; Nonlinear dynamical systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 2000
Conference_Location
Cambridge, MA
ISSN
0276-6547
Print_ISBN
0-7803-6557-7
Type
conf
DOI
10.1109/CIC.2000.898557
Filename
898557
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