PSG-based classification of sleep phases

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F15%3APU115162" target="_blank" >RIV/00216305:26220/15:PU115162 - isvavai.cz</a>
Result on the web
<a href="http://www.feec.vutbr.cz/EEICT/2015/sbornik/EEICT-2015-sbornik-komplet_v2.pdf" target="_blank" >http://www.feec.vutbr.cz/EEICT/2015/sbornik/EEICT-2015-sbornik-komplet_v2.pdf</a>
DOI - Digital Object Identifier
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Result language
čeština
Original language name
PSG-based classification of sleep phases
Original language description
This work is focused on classification of sleep phases using artificial neural network. The unconventional approach was used for calculation of classification features using polysomnographic data (PSG) of real patients. This approach allows to increase the time resolution of the analysis and, thus, to achieve more accurate results of classification.
Czech name
PSG-based classification of sleep phases
Czech description
This work is focused on classification of sleep phases using artificial neural network. The unconventional approach was used for calculation of classification features using polysomnographic data (PSG) of real patients. This approach allows to increase the time resolution of the analysis and, thus, to achieve more accurate results of classification.

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 21th Student Competition Conference
ISBN
978-80-214-5148-3
ISSN
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e-ISSN
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Number of pages
3
Pages from-to
215-217
Publisher name
VUT v Brně
Place of publication
Brno, Česká republika
Event location
Brno
Event date
Apr 23, 2015
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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