Quantitative analysis of heart rate variability

  • In the modern industrialized countries every year several hundred thousands of people die due to the sudden cardiac death. The individual risk for this sudden cardiac death cannot be defined precisely by common available, non-invasive diagnostic tools like Holter-monitoring, highly amplified ECG and traditional linear analysis of heart rate variability (HRV). Therefore, we apply some rather unconventional methods of nonlinear dynamics to analyse the HRV. Especially, some complexity measures that are basing on symbolic dynamics as well as a new measure, the renormalized entropy, detect some abnormalities in the HRV of several patients who have been classified in the low risk group by traditional methods. A combination of these complexity measures with the parameters in the frequency domain seems to be a promising way to get a more precise definition of the individual risk. These findings have to be validated by a representative number of patients.

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Metadaten
Author:Jürgen Kurths, A. Voss, Annette Witt, P. Saparin, H. J. Kleiner, N. Wessel
URN:urn:nbn:de:kobv:517-opus-13470
Series (Serial Number):NLD Preprints (paper 005)
Document Type:Preprint
Language:English
Date of Publication (online):2007/05/18
Year of Completion:1994
Publishing Institution:Universität Potsdam
Release Date:2007/05/18
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Wissenschaftliche Einrichtungen / Interdisziplinäres Zentrum Dynamik komplexer Systeme
Extern / Extern
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik