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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 / Lenarz, Thomas / Leonhardt, Steffen / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Boenick, Ulrich / Jaramaz, Branislav / Kraft, Marc / 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 2017: 1.096
5-year IMPACT FACTOR: 1.492

CiteScore 2017: 0.48

SCImago Journal Rank (SJR) 2017: 0.202
Source Normalized Impact per Paper (SNIP) 2017: 0.356

Online
ISSN
1862-278X
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Volume 51, Issue 4

Issues

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
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Niels Wessel
Published Online: 2006-10-25 | DOI: https://doi.org/10.1515/BMT.2006.043

Abstract

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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[1]
Matthias Weippert, Kristin Behrens, Annika Rieger, Regina Stoll, Steffi Kreuzfeld, and Mathias Baumert
PLoS ONE, 2013, Volume 8, Number 12, Page e83690
[2]
Ching-Kun Chen, Chun-Liang Lin, Shyan-Lung Lin, Yen-Ming Chiu, and Cheng-Tang Chiang
IEEE Computational Intelligence Magazine, 2014, Volume 9, Number 1, Page 53
[3]
Matthias Weippert, Martin Behrens, Annika Rieger, and Kristin Behrens
Entropy, 2014, Volume 16, Number 11, Page 5698
[4]
Matthias Weippert, Kristin Behrens, Annika Rieger, Mohit Kumar, and Martin Behrens
Applied Physiology, Nutrition, and Metabolism, 2015, Volume 40, Number 8, Page 762
[5]
Niels Wessel, Robert Bauernschmitt, Dirk Wernicke, Jürgen Kurths, and Hagen Malberg
Biomedizinische Technik/Biomedical Engineering, 2007, Volume 52, Number 1, Page 43

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