<div class="csl-bib-body">
<div class="csl-entry">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.), <i>Brain Informatics and Health International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings</i> (pp. 574–585). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-09891-3_52</div>
</div>
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dc.identifier.isbn
9783319098906
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dc.identifier.isbn
9783319098913
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/41368
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dc.description.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.
en
dc.publisher
Springer International Publishing Switzerland
-
dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.subject
Data Mining
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dc.subject
Entropy
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dc.subject
Heart Rate Variability
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dc.subject
Cardiac Arrhythmia Suppression.
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dc.title
Entropy-Based Data Mining on the Example of Cardiac Arrhythmia Suppression
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dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.relation.isbn
978-3-319-09890-6
-
dc.relation.doi
10.1007/978-3-319-09891-3
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dc.relation.issn
0302-9743
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dc.description.startpage
574
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dc.description.endpage
585
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1611-3349
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dc.publisher.place
Zürich
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tuw.booktitle
Brain Informatics and Health International Conference, BIH 2014, Warsaw, Poland, August 11-14, 2014.Proceedings
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tuw.book.ispartofseries
Lecture Notes in Computer Science
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tuw.relation.publisher
Springer
-
tuw.relation.publisherplace
Cham
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tuw.researchTopic.id
X1
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.name
außerhalb der gesamtuniversitären Forschungsschwerpunkte
-
tuw.researchTopic.name
Modelling and Simulation
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tuw.researchTopic.value
15
-
tuw.researchTopic.value
85
-
tuw.publication.orgunit
E101-03 - Forschungsbereich Scientific Computing and Modelling
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tuw.publisher.doi
10.1007/978-3-319-09891-3_52
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dc.description.numberOfPages
12
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tuw.event.name
The University of Warsaw
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.country
AT
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wb.sciencebranch
Mathematik
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wb.sciencebranch
Medizinische Biotechnologie
-
wb.sciencebranch.oefos
1010
-
wb.sciencebranch.oefos
3040
-
wb.facultyfocus
Analysis und Scientific Computing
de
wb.facultyfocus
Analysis and Scientific Computing
en
wb.facultyfocus.faculty
E100
-
item.openairetype
conference paper
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item.grantfulltext
none
-
item.fulltext
no Fulltext
-
item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
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crisitem.author.dept
TU Wien
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.dept
E192 - Institut für Logic and Computation
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
