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Merhof, Dorit

Biomedical Engineering / Biomedizinische Technik

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering and the German Society of Biomaterials

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Habibović, Pamela / Haueisen, Jens / Jahnen-Dechent, Wilhelm / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / Lenarz, Thomas / Lenthe, Harry / Lo, Benny / Mainardi, Luca / Micera, Silvestro / Penzel, Thomas / Robitzki, Andrea A. / Schaeffter, Tobias / Snedeker, Jess G. / Sörnmo, Leif / Sugano, Nobuhiko / Werner, Jürgen /

IMPACT FACTOR 2018: 1.007
5-year IMPACT FACTOR: 1.390

CiteScore 2018: 1.24

SCImago Journal Rank (SJR) 2018: 0.282
Source Normalized Impact per Paper (SNIP) 2018: 0.831

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Volume 51, Issue 4


Volume 57 (2012)

Normalized correlation dimension for heart rate variability analysis

Corinna Raab / Jürgen Kurths / Alexander Schirdewan
  • Franz-Volhard-Hospital, Helios-Clinics, Charité, Humboldt University Berlin, Berlin, Germany
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/ Niels Wessel
Published Online: 2006-10-25 | DOI: https://doi.org/10.1515/BMT.2006.043


In this paper we use the concept of large-scale dimension densities to analyze heart rate variability data. This method uses a normalized Grassberger-Procaccia algorithm and estimates the dimension in the rather large scales of the system. This enables us to analyze very short data. First we reanalyze data from the CIC 2002 challenge and can completely distinguish between real data and computer-generated data using only one parameter. We then analyze unfiltered data for 15 patients with atrial fibrillation (AF), 15 patients with congestive heart failure (CHF), 15 elderly healthy subjects, and 18 young healthy subjects. This method can completely separate the AF group from the other groups and the CHF patients show significant differences compared to the young and elderly healthy volunteers. Furthermore, differences are evident in the dimensionality between day and night for healthy persons, but not for the CHF patients. Finally, the results are compared to standard heart rate variability parameters.

Keywords: congestive heart failure; correlation dimension; heart rate variability

About the article

Corresponding author: Dr. Niels Wessel, Universität Potsdam, Institut für Physik, AG NLD–Kardiovaskuläre Physik, Postfach 601553, 14415 Potsdam, Germany Phone: +49-331-9771639 or +49-30-94172450 Fax: +49-331-977-1142

Published Online: 2006-10-25

Published in Print: 2006-10-01

Citation Information: Biomedizinische Technik, Volume 51, Issue 4, Pages 229–232, ISSN (Online) 1862-278X, ISSN (Print) 0013-5585, DOI: https://doi.org/10.1515/BMT.2006.043.

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