Comparison of Linear and Non-linear Dimension Reduction Techniques for Automatic Apnea Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F19%3A43920217" target="_blank" >RIV/00023752:_____/19:43920217 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21460/19:00337045
Result on the web
<a href="https://ieeexplore.ieee.org/document/8969972" target="_blank" >https://ieeexplore.ieee.org/document/8969972</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EHB47216.2019.8969972" target="_blank" >10.1109/EHB47216.2019.8969972</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of Linear and Non-linear Dimension Reduction Techniques for Automatic Apnea Detection
Original language description
Oronasal thermal sensor signal recording within sleeping period was analyzed in sense of detection of respiratory events. The goal was to evaluate what extent an up to date nonlinear dimension reduction technique increases performance of apnea classification compared to classifications based on linear dimension reduction and raw data. Based on an extensive database of recordings in apneic patients, we concluded that a non-linear approach didn't lead to better classification performance in comparison with a linear decomposition technique. We suggested, that it was due to the signal amplitude is naturally the main feature of respiratory events. However, nonlinear methods do not naturally maintain the amplitude based structure in data. Due to this fact we get the worse signal representation in comparison with linear methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 7th E-Health and Bioengineering Conference, EHB 2019
ISBN
978-1-72812-603-6
ISSN
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e-ISSN
2575-5145
Number of pages
4
Pages from-to
"Article number 8969972"
Publisher name
IEEE Xplore
Place of publication
online
Event location
Lasi, Romania
Event date
Nov 21, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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