About: Somnolence Detection Using Electroencephalogram

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	One of the tasks performed by analysis of electroencephalogram (EEG) is the problem of recognizing the state of somnolence, characterized by lower level of attention and the extension of reaction time to any external stimuli. In this paper we propose a method for detection of such state, based on an analysis of the EEG signal's power spectra. Classification is realized by using fuzzy logic. Four classifiers are designed, which are based on a fuzzy inference system (FIS), that are differ in IF-THEN rule's bases. The approximation of membership function (MF) is implemented using fuzzy clustering (FC). Classification results are very dependent on the applied rules and on the choice of the analyzed frequencies. One of the tasks performed by analysis of electroencephalogram (EEG) is the problem of recognizing the state of somnolence, characterized by lower level of attention and the extension of reaction time to any external stimuli. In this paper we propose a method for detection of such state, based on an analysis of the EEG signal's power spectra. Classification is realized by using fuzzy logic. Four classifiers are designed, which are based on a fuzzy inference system (FIS), that are differ in IF-THEN rule's bases. The approximation of membership function (MF) is implemented using fuzzy clustering (FC). Classification results are very dependent on the applied rules and on the choice of the analyzed frequencies. (en) One of the tasks performed by analysis of electroencephalogram (EEG) is the problem of recognizing the state of somnolence, characterized by lower level of attention and the extension of reaction time to any external stimuli. In this paper we propose a method for detection of such state, based on an analysis of the EEG signal's power spectra. Classification is realized by using fuzzy logic. Four classifiers are designed, which are based on a fuzzy inference system (FIS), that are differ in IF-THEN rule's bases. The approximation of membership function (MF) is implemented using fuzzy clustering (FC). Classification results are very dependent on the applied rules and on the choice of the analyzed frequencies. (cs)
Title	Somnolence Detection Using Electroencephalogram Somnolence Detection Using Electroencephalogram (en) Somnolence Detection Using Electroencephalogram (cs)
skos:prefLabel	Somnolence Detection Using Electroencephalogram Somnolence Detection Using Electroencephalogram (en) Somnolence Detection Using Electroencephalogram (cs)
skos:notation	RIV/00216305:26220/10:PU86651!RIV11-MSM-26220___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Ronzhina, Marina
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	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	288631
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/10:PU86651
http://linked.open...riv/jazykVysledku	cze - čeština
http://linked.open.../riv/klicovaSlova	Electroencephalogram, fuzzy logic, somnolence detection (en)
http://linked.open.../riv/klicoveSlovo	fuzzy logic Electroencephalogram somnolence detection
http://linked.open...ontrolniKodProRIV	[5DD143C74B1C]
http://linked.open...v/mistoKonaniAkce	FEKT VUT v Brně
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Proceedings of the 16th Conference Student EEICT 2010
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Ronzhina, Marina
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2010-04-29 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Novapress, s.r.o.
https://schema.org/isbn	978-80-214-4079-1
http://localhost/t...ganizacniJednotka	26220
is http://linked.open...avai/riv/vysledek of	Somnolence Detection Using Electroencephalogram Somnolence Detection Using Electroencephalogram Somnolence Detection Using Electroencephalogram

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