<div class="csl-bib-body">
<div class="csl-entry">Schreiner, S. (2017). <i>Automatic detection of sleep arousals and investigation on the relation with leg movements</i> [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2017.30620</div>
</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2017.30620
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/15229
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dc.description
Abweichender Titel nach Übersetzung der Verfasserin/des Verfassers
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dc.description.abstract
This thesis provides a method for the automatic detection of arousals in EEG-signals as well as an analysis of the possible relation between leg movements and arousals. The detection algorithm consists of two main steps: Firstly, the recording is divided in segments of three seconds and these are classified with a Support Vector Machine (SVM) as arousal start or nostart segments. The features extracted for each segment are mainly frequency based according to the definition of an arousal of the AASM American Academy of Sleep Medicine. In addition, newly investigated feature sets, based on an AR-models and statistical tests, are implemented. Secondly, the exact position and length of the detections are computed and further arousal criteria are checked. Moreover, an analysis on the relation between arousals and leg movements was performed. It could be shown that the events are dependent from each other, but that the relation follows a complex mechanism rather than a simple causality. In addition, the relation between the intensity of a leg movement and the occurrence of an associated arousal was investigated. As a measure for intensity, the duration of a leg movement and a value computed from 3D detection that could be interpreted as the size of a leg movement, were tested. An interesting finding was that with both intensity values it could be shown that more intense leg movements are more likely to occur with arousals.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Polysomnographie
de
dc.subject
Schlafstörungen
de
dc.subject
Zeitreihenanalyse
de
dc.subject
Statistik
de
dc.subject
polysomnography
en
dc.subject
sleep disorder
en
dc.subject
time series analysis
en
dc.subject
statistics
en
dc.title
Automatic detection of sleep arousals and investigation on the relation with leg movements
en
dc.title.alternative
Detektion von Arousals und der Zusammenhang zu Beinbewegungen
de
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2017.30620
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Stefanie Schreiner
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E105 - Institut für Stochastik und Wirtschaftsmathematik
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC13665150
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dc.description.numberOfPages
94
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dc.thesistype
Diplomarbeit
de
dc.thesistype
Diploma Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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item.fulltext
with Fulltext
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item.grantfulltext
open
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item.cerifentitytype
Publications
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairetype
Thesis
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item.openairetype
Hochschulschrift
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik