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Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F10%3A00172055%21RIV14-MSM-21230___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
Holter recording of electrocardiographic signal (ECG) is usually disturbed by noise added to measured useful signal due to e. g. worse contact skin-electrode, body movements, etc. Our general goal is to find at least some piece of informatik from ECG (in our case - positions of QRS complexes) in corrupted signal, on which common preprocessing methods fail. The main purpose of the article is description of an automatic method of data preprocessing for QRS detection, which is the first step in our way to final solution. We use Independent Component Analysis based %22filter%22 that automatically chooses noise-free components. Selection is based on morfology of noisefree ECG components. Holter recording of electrocardiographic signal (ECG) is usually disturbed by noise added to measured useful signal due to e. g. worse contact skin-electrode, body movements, etc. Our general goal is to find at least some piece of informatik from ECG (in our case - positions of QRS complexes) in corrupted signal, on which common preprocessing methods fail. The main purpose of the article is description of an automatic method of data preprocessing for QRS detection, which is the first step in our way to final solution. We use Independent Component Analysis based %22filter%22 that automatically chooses noise-free components. Selection is based on morfology of noisefree ECG components.
dcterms:title
Processing Holter ECG signal corrupted with noise: Using ICA for QRS complex detection Processing Holter ECG signal corrupted with noise: Using ICA for QRS complex detection
skos:prefLabel
Processing Holter ECG signal corrupted with noise: Using ICA for QRS complex detection Processing Holter ECG signal corrupted with noise: Using ICA for QRS complex detection
skos:notation
RIV/68407700:21230/10:00172055!RIV14-MSM-21230___
n4:aktivita
n16:Z n16:S
n4:aktivity
S, Z(MSM6840770012)
n4:dodaniDat
n9:2014
n4:domaciTvurceVysledku
n8:9431446 n8:9446516
n4:druhVysledku
n7:D
n4:duvernostUdaju
n15:S
n4:entitaPredkladatele
n12:predkladatel
n4:idSjednocenehoVysledku
282425
n4:idVysledku
RIV/68407700:21230/10:00172055
n4:jazykVysledku
n5:eng
n4:klicovaSlova
ICA; QRS complex detection; ECG, noise
n4:klicoveSlovo
n6:QRS%20complex%20detection n6:noise n6:ECG n6:ICA
n4:kontrolniKodProRIV
[C2BE023C1BE1]
n4:mistoKonaniAkce
Rome
n4:mistoVydani
Rome
n4:nazevZdroje
Conference Proceedings of The 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies
n4:obor
n11:JC
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
3
n4:rokUplatneniVysledku
n9:2010
n4:tvurceVysledku
Lhotská, Lenka Hanuliak, M. Kužílek, Jakub
n4:typAkce
n20:WRD
n4:zahajeniAkce
2010-11-07+01:00
n4:zamer
n14:MSM6840770012
s:numberOfPages
4
n21:doi
10.1109/ISABEL.2010.5702896
n3:hasPublisher
University of Rome %22Tor Vergata%22
n10:isbn
978-1-4244-8132-3
n19:organizacniJednotka
21230