DocumentCode
1590667
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
fYear
1992
Firstpage
299
Lastpage
302
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1992, Proceedings of
Conference_Location
Durham, NC
Print_ISBN
0-8186-3552-5
Type
conf
DOI
10.1109/CIC.1992.269372
Filename
269372
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