Record link: 
http://hdl.handle.net/20.500.12708/41368
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Title: 
Entropy-Based Data Mining on the Example of Cardiac Arrhythmia Suppression
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Citation: 
Bachler, M., Hörtenhuber, M., Mayer, C., Holzinger, A., & Wassertheurer, S. (2014). Entropy-Based Data Mining on the Example of Cardiac Arrhythmia Suppression. In D. Slezak, A.-H. Tan, J. F. Peters, & L. Schwabe (Eds.), Brain Informatics and Health  International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings (pp. 574–585). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-09891-3_52
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Publisher DOI: 
10.1007/978-3-319-09891-3_52
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Bachler, Martin 
Hörtenhuber, Matthias 
Mayer, C. 
Holzinger, A. 
Wassertheurer, Siegfried 
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Organisational Unit: 
E101-03 - Forschungsbereich Scientific Computing and Modelling 
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Published in: 
Brain Informatics and Health International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings 
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ISBN: 
978-3-319-09890-6
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DOI of the book: 
10.1007/978-3-319-09891-3
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Date (published): 
2014
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Event name: 
The University of Warsaw 
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Event place: 
Austria
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Number of Pages: 
12
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Publisher: 
Springer International Publishing Switzerland, Zürich
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Publisher: 
Springer, Cham
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Keywords: 
Data Mining; Entropy; Heart Rate Variability; Cardiac Arrhythmia Suppression.
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Abstract: 
Abstract. Heart rate variability (HRV) is the variation of the time interval between consecutive heartbeats and depends on the extrinsic regulation of the heart rate. It can be quantified using nonlinear methods such as entropy measures, which determine the irregularity of the time intervals. In this work, approximate entropy (ApEn), sample entropy (SampEn), fuzzy entropy (FuzzyEn) and fuzzy measure entropy (FuzzyMEn) were used to assess the effects of three different cardiac arrhythmia suppressing drugs on the HRV after a myocardial infarction.
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Research Areas: 
außerhalb der gesamtuniversitären Forschungsschwerpunkte: 15%
Modelling and Simulation: 85%
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Science Branch: 
Mathematik
Medizinische Biotechnologie
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Appears in Collections:
Conference Paper

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