24 hour heart rate variability analysis based on new methods of non-linear dynamics

Author

Wessel, N. ; Voss, A. ; Kurths, J. ; Witt, A. ; Osterziel, KJ

Author_Institution

Max-Delbrueck-Centrum fuer Molekulare Medizin, Berlin, Germany

fYear

1995

fDate

10-13 Sept. 1995

Firstpage

693

Lastpage

696

Abstract

Tachograms of two groups, one consisting of 16 cardiac patients with dilated cardiomyopathy (DCM) and the second group consisting of 18 healthy persons as a control group, were investigated. The tachograms were obtained from a commercial Holter ECG system. Artefacts and recognized misclassifications were manually edited and removed. In this study we confirm the effectiveness of methods from non-linear dynamics in the 24 hours analysis of heart rate variability. The methods from symbolic dynamics are useful approaches for classification of the dynamics of heart rate time series. With the help of these methods we can investigate the inner motions of the time series. One interesting aspect of this study is the surprising stability of the renormalized entropy in controls and in DCM patients.

Keywords

electrocardiography; entropy; medical signal processing; pattern classification; time series; 24 hour; 24 hour heart rate variability analysis; DCM; artefacts; cardiac patients; commercial Holter ECG system; control group; dilated cardiomyopathy; healthy persons; heart rate time series; inner motions; misclassifications; nonlinear dynamics; renormalized entropy; symbolic dynamics; tachograms; Cardiology; Electrocardiography; Entropy; Heart rate; Heart rate variability; Length measurement; Nonlinear dynamical systems; Stability; Temperature; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1995

Conference_Location

Vienna, Austria

Print_ISBN

0-7803-3053-6

Type

conf

DOI

10.1109/CIC.1995.482759

Filename

482759