Title :
Multiparameter quantification of 24-hour heart rate variability
Author :
Countemanche, M. ; Talajic, Mario ; Kaplan, Daniel
Author_Institution :
Centre for Nonlinear Dynamics in Phys. & Med., McGill Univ., Montreal, Que., Canada
Abstract :
The authors present results from a study of artifact-corrected RR interval time series obtained from 24-h Holter recordings. They investigate the extent to which there are redundancies and complementarities among the heart rate variability analysis methods. The particular interest is in the question of whether new statistical measures of complexity that have been motivated by recent developments in the theory of nonlinear dynamical systems provide information beyond that given by linear spectral analysis and first-order statistics. Correlations are presented among the various statistical measures both between patients and between 5-min segments within patient records
Keywords :
electrocardiography; medical signal processing; 24 hr; 24 hr heart rate variability; 5 min; Holter recordings; RR interval time series; complexity statistical measures; first-order statistics; linear spectral analysis; multiparameter quantification; nonlinear dynamical systems; patient records; Entropy; Frequency; Heart rate variability; Least squares approximation; Neural networks; Particle measurements; Physiology; Spectral analysis; Statistics; Time series analysis;
Conference_Titel :
Computers in Cardiology 1992, Proceedings of
Conference_Location :
Durham, NC
Print_ISBN :
0-8186-3552-5
DOI :
10.1109/CIC.1992.269372
