<div class="csl-bib-body">
<div class="csl-entry">Hörandtner, C., Bachler, M., Wassertheurer, S., Breitenecker, F., & Mayer, C. (2022). Pulse Wave Analysis by Quantified Reconstructed Attractors. <i>Simulation Notes Europe</i>, <i>32</i>(2), 69–78. https://doi.org/10.11128/sne.32.tn.10603</div>
</div>
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dc.identifier.issn
2305-9974
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/142240
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dc.description.abstract
Direct time domain analysis is a classical method for pulse wave analysis. Attractor reconstruction is a new and alternative way to analyse the morphology of a pulse wave. The novel approach plots the pulse wave data as overlapping loops in the three-dimensional phase space and, subsequently, projects the trajectories onto a plane generating two-dimensional attractors. This paper presents methods that automatically quantify these attractors. At first, a short overview of the attractor reconstruction technique is provided. After preprocessing of the pulse waveform data, the attractor is generated and edited by a median filter to remove remaining artefacts that can distort the quantification process. The developed algorithm is based on image processing and extracts attractor features such as the angle of rotation, the angle between the arm fragments, shape, height, lengths and width of the attractor. Finally, visual examination evaluates the performance of the feature extraction technique revealing that the majority of the generated attractors are correctly quantified. However, it also shows that remaining outliers and metrological discrepancies have a negative impact on the results.
en
dc.language.iso
en
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dc.relation.ispartof
Simulation Notes Europe
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dc.subject
Direct time domain analysis
en
dc.subject
pulse wave
en
dc.subject
reconstructed attractors
en
dc.title
Pulse Wave Analysis by Quantified Reconstructed Attractors
en
dc.type
Article
en
dc.type
Artikel
de
dc.description.startpage
69
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dc.description.endpage
78
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dc.type.category
Original Research Article
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tuw.container.volume
32
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tuw.container.issue
2
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
-
tuw.researchTopic.id
C6
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.value
100
-
dcterms.isPartOf.title
Simulation Notes Europe
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tuw.publication.orgunit
E101 - Institut für Analysis und Scientific Computing
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tuw.publisher.doi
10.11128/sne.32.tn.10603
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dc.description.numberOfPages
10
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dc.description.sponsorshipexternal
EFRE
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dc.relation.grantnoexternal
WST3-F-5030665/002-2017
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
100
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item.openairetype
Article
-
item.openairetype
Artikel
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item.grantfulltext
none
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item.cerifentitytype
Publications
-
item.cerifentitytype
Publications
-
item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
-
item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.fulltext
no Fulltext
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crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing
-
crisitem.author.dept
E101 - Institut für Analysis und Scientific Computing