About: Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising

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About: Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0098450&representation=PDF
Description	We have developed a method focusing on ECG signal de-noising using Independent component analysis (ICA). This approach combines JADE source separation and binary decision tree for identification and subsequent ECG noise removal. In order to to test the efficiency of this method comparison to standard filtering a wavelet- based de-noising method was used. Freely data available at Physionet medical data storage were evaluated. Evaluation criteria was root mean square error (RMSE) between original ECG and filtered data contaminated with artificial noise. Proposed algorithm achieved comparable result in terms of standard noises (power line interference, base line wander, EMG), but noticeably significantly better results were achieved when uncommon noise (electrode cable movement artefact) were compared. We have developed a method focusing on ECG signal de-noising using Independent component analysis (ICA). This approach combines JADE source separation and binary decision tree for identification and subsequent ECG noise removal. In order to to test the efficiency of this method comparison to standard filtering a wavelet- based de-noising method was used. Freely data available at Physionet medical data storage were evaluated. Evaluation criteria was root mean square error (RMSE) between original ECG and filtered data contaminated with artificial noise. Proposed algorithm achieved comparable result in terms of standard noises (power line interference, base line wander, EMG), but noticeably significantly better results were achieved when uncommon noise (electrode cable movement artefact) were compared. (en)
Title	Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising (en)
skos:prefLabel	Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising (en)
skos:notation	RIV/68407700:21730/14:00218088!RIV15-MSM-21730___
http://linked.open...avai/riv/aktivita	I P S
http://linked.open...avai/riv/aktivity	I, P(ED1.100/02/0123), P(GPP103/11/P106), S
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Křemen, Václav
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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 / Český institut informatiky, robotiky a kybernetiky
http://linked.open...dnocenehoVysledku	21167
http://linked.open...ai/riv/idVysledku	RIV/68407700:21730/14:00218088
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	ICA; Decision Tree; ECG de-noising (en)
http://linked.open.../riv/klicoveSlovo	Decision Tree ICA ECG de-noising
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[F0DFB68509A8]
http://linked.open...i/riv/nazevZdroje	PLoS ONE
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Integration of digital signal processing and artificial intelligence methods for intracardial signal complexity evaluation St. Anne´s University Hospital Brno - International Clinical Research Center (FNUSA-ICRC)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	9
http://linked.open...iv/tvurceVysledku	Kužílek, Jakub Lhotská, Lenka Křemen, Václav Souček, F.
http://linked.open...ain/vavai/riv/wos	000341869000031
issn	1932-6203
number of pages	16 (xsd:int)
http://bibframe.org/vocab/doi	10.1371/journal.pone.0098450
http://localhost/t...ganizacniJednotka	21730

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