This HTML5 document contains 43 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n18http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n16http://purl.org/net/nknouf/ns/bibtex#
n6http://localhost/temp/predkladatel/
n19http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n10http://linked.opendata.cz/resource/domain/vavai/subjekt/
n9http://linked.opendata.cz/ontology/domain/vavai/
n8https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n4http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F49777513%3A23520%2F12%3A43916201%21RIV13-MSM-23520___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n12http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n20http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n11http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F49777513%3A23520%2F12%3A43916201%21RIV13-MSM-23520___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
The event-related potentials (ERPs) obtained by stimulation are much weaker than the continuous electroencephalographic(EEG) signal. Therefore, the correct signal analysis is vital to detect the stimulation-driven signal components. This paper proposes the combination of matching pursuit for feature extraction and ART 2 neural network for clustering. Then, clusters are filtered and interpreted according to their statistical properties as ERP components or noise. The suggested method can be used to filter the EEG/ERP signal. Furthermore, its results lead to a method that improves averaging when compared to traditional approaches. The event-related potentials (ERPs) obtained by stimulation are much weaker than the continuous electroencephalographic(EEG) signal. Therefore, the correct signal analysis is vital to detect the stimulation-driven signal components. This paper proposes the combination of matching pursuit for feature extraction and ART 2 neural network for clustering. Then, clusters are filtered and interpreted according to their statistical properties as ERP components or noise. The suggested method can be used to filter the EEG/ERP signal. Furthermore, its results lead to a method that improves averaging when compared to traditional approaches.
dcterms:title
The Event-Related Potential Data Processing Using ART 2 Network The Event-Related Potential Data Processing Using ART 2 Network
skos:prefLabel
The Event-Related Potential Data Processing Using ART 2 Network The Event-Related Potential Data Processing Using ART 2 Network
skos:notation
RIV/49777513:23520/12:43916201!RIV13-MSM-23520___
n9:predkladatel
n10:orjk%3A23520
n3:aktivita
n17:S
n3:aktivity
S
n3:dodaniDat
n11:2013
n3:domaciTvurceVysledku
n19:5850274 n19:8498113
n3:druhVysledku
n20:D
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
135248
n3:idVysledku
RIV/49777513:23520/12:43916201
n3:jazykVysledku
n21:eng
n3:klicovaSlova
EEG, ERP, P300, ART 2 network, matching pursuit
n3:klicoveSlovo
n5:EEG n5:ERP n5:P300 n5:ART%202%20network n5:matching%20pursuit
n3:kontrolniKodProRIV
[9316B9A5F628]
n3:mistoKonaniAkce
Chongqing Čína
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
BMEI 2012
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n11:2012
n3:tvurceVysledku
Mautner, Pavel Vařeka, Lukáš
n3:typAkce
n18:WRD
n3:zahajeniAkce
2012-10-16+02:00
s:numberOfPages
5
n16:hasPublisher
IEEE
n8:isbn
978-1-4673-1182-3
n6:organizacniJednotka
23520