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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 details:Jürgen KurthsORCiDGND, A. Voss, Annette Witt, P. Saparin, H. J. Kleiner, Niels WesselORCiDGND
URN:urn:nbn:de:kobv:517-opus-13470
Publication series (Volume number):NLD Preprints (5)
Publication type:Preprint
Language:English
Publication year:1994
Publishing institution:Universität Potsdam
Release date:2007/05/18
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie
Zentrale und wissenschaftliche Einrichtungen / Interdisziplinäres Zentrum für Dynamik komplexer Systeme
Extern / Extern
DDC classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
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