This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n15http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26220%2F94%3APU43835%21RIV%2F2005%2FMSM%2F262205%2FN/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n19http://purl.org/net/nknouf/ns/bibtex#
n14http://localhost/temp/predkladatel/
n12http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n20http://linked.opendata.cz/ontology/domain/vavai/
n13http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n7http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n8http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n9http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F94%3APU43835%21RIV%2F2005%2FMSM%2F262205%2FN
rdf:type
skos:Concept n20:Vysledek
dcterms:description
A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationarry properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described. A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationarry properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described. A new LMS-based adaptive filter for preprocessing and analysis of ECG signals recorded under conditions of stress-tests is introduced. The adaptive filter was developed to cancel motion artifacts and myopotentials and to detect diagnostically significant waves in the ECG signal, e.g. arrhythmias. The new filter exploits a repetitivity of the ECG signal for optimal removing of the nonstationary noise. It uses a vector-variable-step-size LMS algorithm to adjust filter weights according to the nonstationarry properties of the processed signal. The developed system was tested on real signals and on the CSE signal library, and the results are described.
dcterms:title
Adaptive recurrent system for noise cancellation and arrhythmia detection Adaptive recurrent system for noise cancellation and arrhythmia detection Adaptive recurrent system for noise cancellation and arrhythmia detection
skos:prefLabel
Adaptive recurrent system for noise cancellation and arrhythmia detection Adaptive recurrent system for noise cancellation and arrhythmia detection Adaptive recurrent system for noise cancellation and arrhythmia detection
skos:notation
RIV/00216305:26220/94:PU43835!RIV/2005/MSM/262205/N
n3:strany
1270-1271
n3:aktivita
n4:Z
n3:aktivity
Z(MSM 262200011)
n3:dodaniDat
n9:2005
n3:domaciTvurceVysledku
n12:4157214 n12:8088586
n3:druhVysledku
n17:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
858480
n3:idVysledku
RIV/00216305:26220/94:PU43835
n3:jazykVysledku
n18:eng
n3:klicovaSlova
adaptive filter, ECG signal, arrhythmias
n3:klicoveSlovo
n7:ECG%20signal n7:arrhythmias n7:adaptive%20filter
n3:kontrolniKodProRIV
[AC33B8E1C558]
n3:mistoKonaniAkce
Boston
n3:mistoVydani
Baltimore
n3:nazevZdroje
Proceedings of the 16th Annual International Conference of the IEEE EMBS
n3:obor
n10:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n9:1994
n3:tvurceVysledku
Provazník, Ivo Holčík, Jiří
n3:typAkce
n6:WRD
n3:zahajeniAkce
1994-09-01+02:00
n3:zamer
n13:MSM%20262200011
s:numberOfPages
2
n19:hasPublisher
IEEE
n14:organizacniJednotka
26220