Publications in Scientific Journals:

C. Mayer, M. Bachler, M. Hörtenhuber, C. Stocker, A. Holzinger, S. Wassertheurer:
"Selection of entropy-measure parameters for knowledge discovery in heart rate variability data";
BMC Bioinformatics, 15(Suppl 6) (2014), 5; 2 - 12.

English abstract:
Background: Heart rate variability is the variation of the time interval between consecutive heartbeats. Entropy is a
commonly used tool to describe the regularity of data sets. Entropy functions are defined using multiple
parameters, the selection of which is controversial and depends on the intended purpose. This study describes the
results of tests conducted to support parameter selection, towards the goal of enabling further biomarker

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.