About: Application of Inductive Modeling to Sleep Stages Classification

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In neurology, when a physician needs to examine if a patient suffers from sleep difficulties, he needs to record several biological signals during the patients whole night sleep (polygraphic examination). The diagnosis is based on a manual examination of this recording. This process is of course very time consuming and many different methods assisting the ex- pert have been developed. Unfortunately, none of the methods have proved to be accurate enough and experts often prefer a manual examination of the recording. In this article we look for the best preprocessing methods and the best classification model for distinguishing sleep stages automatically. In neurology, when a physician needs to examine if a patient suffers from sleep difficulties, he needs to record several biological signals during the patients whole night sleep (polygraphic examination). The diagnosis is based on a manual examination of this recording. This process is of course very time consuming and many different methods assisting the ex- pert have been developed. Unfortunately, none of the methods have proved to be accurate enough and experts often prefer a manual examination of the recording. In this article we look for the best preprocessing methods and the best classification model for distinguishing sleep stages automatically. (en) In neurology, when a physician needs to examine if a patient suffers from sleep difficulties, he needs to record several biological signals during the patients whole night sleep (polygraphic examination). The diagnosis is based on a manual examination of this recording. This process is of course very time consuming and many different methods assisting the ex- pert have been developed. Unfortunately, none of the methods have proved to be accurate enough and experts often prefer a manual examination of the recording. In this article we look for the best preprocessing methods and the best classification model for distinguishing sleep stages automatically. (cs)
Title	Application of Inductive Modeling to Sleep Stages Classification Application of Inductive Modeling to Sleep Stages Classification (en) Aplikace induktivního modelování na klasifikaci spánkových fází (cs)
skos:prefLabel	Application of Inductive Modeling to Sleep Stages Classification Application of Inductive Modeling to Sleep Stages Classification (en) Aplikace induktivního modelování na klasifikaci spánkových fází (cs)
skos:notation	RIV/68407700:21230/07:03129971!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany	63;70
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(KJB201210701), Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2008
http://linked.open...aciTvurceVysledku	Čepek, Miroslav Kordík, Pavel Šnorek, Miroslav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	410475
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/07:03129971
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Artifficial neural networks; Classification; EEG; GAME; Inductive modeling; Sleep scoring (en)
http://linked.open.../riv/klicoveSlovo	EEG GAME Sleep scoring Classification Inductive modeling Artifficial neural networks
http://linked.open...ontrolniKodProRIV	[889EA6987639]
http://linked.open...v/mistoKonaniAkce	Rožnov pod Radhoštěm
http://linked.open...i/riv/mistoVydani	Ostrava
http://linked.open...i/riv/nazevZdroje	Proceedings of 41th Spring International Conference MOSIS\'07
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Automated Knowledge Extraction
http://linked.open...UplatneniVysledku	2007
http://linked.open...iv/tvurceVysledku	Čepek, Miroslav Kordík, Pavel Šnorek, Miroslav
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2007-04-24 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	MARQ
https://schema.org/isbn	978-80-86840-30-7
http://localhost/t...ganizacniJednotka	21230

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