Onset Detection of Pulse-Shaped Bioelectrical Signals Using Linear State Space Models
dc.contributor.author
Waldmann, Frédéric
dc.contributor.author
Baeriswyl, Christof
dc.contributor.author
Andonie, Raphael
dc.contributor.author
Wildhaber, Reto A.
dc.date.accessioned
2022-09-26T06:58:48Z
dc.date.available
2022-09-25T03:15:12Z
dc.date.available
2022-09-26T06:58:48Z
dc.date.issued
2022-08
dc.identifier.issn
2364-5504
dc.identifier.other
10.1515/cdbme-2022-1027
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/572567
dc.identifier.doi
10.3929/ethz-b-000572567
dc.description.abstract
Bioelectrical signals are often pulse-shaped with superimposed interference signals. In this context, accurate identification of features such as pulse onsets, peaks, amplitudes, and duration is a frequent problem. In this paper, we present a versatile method of rather low computational complexity to robustly identify such features in real-world signals. For that, we take use of two straight-line models fit to the observations by minimizing a quadratic cost term, and then identify desired features by tweaked likelihood measures. To demonstrate the idea and facilitate access to the method, we provide examples from the field of cardiology.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
De Gruyter
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
linear state space models
en_US
dc.subject
recursive least squares
en_US
dc.subject
likelihood
en_US
dc.subject
feature extraction
en_US
dc.subject
onset detection
en_US
dc.subject
ecg waves
en_US
dc.title
Onset Detection of Pulse-Shaped Bioelectrical Signals Using Linear State Space Models
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2022-09-02
ethz.journal.title
Current Directions in Biomedical Engineering
ethz.journal.volume
8
en_US
ethz.journal.issue
2
en_US
ethz.pages.start
101
en_US
ethz.pages.end
104
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.identifier.nebis
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
::ETH Zürich::00002 - ETH Zürich
ethz.leitzahl
::ETH Zürich::00002 - ETH Zürich
ethz.leitzahl
::ETH Zürich::00002 - ETH Zürich
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02639 - Inst. f. Signal- und Informationsverarb. / Signal and Information Processing Lab.::03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02639 - Inst. f. Signal- und Informationsverarb. / Signal and Information Processing Lab.::03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea
ethz.date.deposited
2022-09-25T03:15:13Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-09-26T06:58:49Z
ethz.rosetta.lastUpdated
2024-02-02T18:19:49Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Onset%20Detection%20of%20Pulse-Shaped%20Bioelectrical%20Signals%20Using%20Linear%20State%20Space%20Models&rft.jtitle=Current%20Directions%20in%20Biomedical%20Engineering&rft.date=2022-08&rft.volume=8&rft.issue=2&rft.spage=101&rft.epage=104&rft.issn=2364-5504&rft.au=Waldmann,%20Fr%C3%A9d%C3%A9ric&Baeriswyl,%20Christof&Andonie,%20Raphael&Wildhaber,%20Reto%20A.&rft.genre=article&rft_id=info:doi/10.1515/cdbme-2022-1027&
Files in this item
Publication type
-
Journal Article [133686]