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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F14%3A00078730" target="_blank" >RIV/00216224:14110/14:00078730 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/14:00218088 RIV/68407700:21730/14:00218088 RIV/00159816:_____/14:00061098

Výsledek na webu

<a href="http://dx.doi.org/10.1371/journal.pone.0098450" target="_blank" >http://dx.doi.org/10.1371/journal.pone.0098450</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1371/journal.pone.0098450" target="_blank" >10.1371/journal.pone.0098450</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FA - Kardiovaskulární nemoci včetně kardiochirurgie

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Plos one

ISSN

1932-6203

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

"e98450"

Kód UT WoS článku

000341869000031

EID výsledku v databázi Scopus

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