Nonlinear dynamics versus traditional methods of heart rate variability analysis

Author

Voss, A. ; Kurths, J. ; Kleiner, HJ ; Witt, A. ; Saparin, P. ; Dietz, R. ; Fiehring, H. ; Wessel, N.

Author_Institution

MDC Max-Delbrueck-Centrum fuer Molekulare Med., Berlin, Germany

fYear

1994

fDate

25-28 Sep 1994

Firstpage

125

Lastpage

128

Abstract

Non-linear changes in the heart rate are often not detectable using traditional methods of heart rate variability analysis in the time and frequency domain. Therefore the authors have tried to quantify them applying new methods of non-linear dynamics. Ten cardiac patients after myocardial infarction (MI) with a low electrical risk, 16 cardiac patients after MI with a high electrical risk, 13 patients with different cardiac diseases and 22 healthy persons have been investigated. The detection rate of parameters from the time domain was 30% of patients in the low risk and 43% in the high risk group. The frequency analysis produced a ratio of 40/69% and the result from non-linear dynamics was 40/75 %. The combination of methods in the frequency domain and non-linear dynamics led to an increased detection rate of high risk patients of 88%

Keywords

electrocardiography; frequency-domain analysis; medical signal processing; time-domain analysis; cardiac patients; frequency domain; heart rate variability analysis; high electrical risk; low electrical risk; myocardial infarction; nonlinear dynamics; parameters detection rate; Cardiology; Electrocardiography; Frequency domain analysis; Hafnium; Heart beat; Heart rate; Heart rate detection; Heart rate variability; Myocardium; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1994

Conference_Location

Bethesda, MD

Print_ISBN

0-8186-6570-X

Type

conf

DOI

10.1109/CIC.1994.470233

Filename

470233