Comparison of Baseline Wandering Removal Algorithms for Automatic Clas sification of Electrocardiogram

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU124566" target="_blank" >RIV/00216305:26220/17:PU124566 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Comparison of Baseline Wandering Removal Algorithms for Automatic Clas sification of Electrocardiogram
Original language description
Baseline wandering (sometimes also baseline drift) is a noise that exacerbates the evaluation of ECG and reduces the success of automatic ECG classifiers. In previous works, many methods have been proposed to remove such noise. The aim of this article is to compare commonly used methods. Each signal is in parallel reprocessed by all analyzed methods a nd then enters an automatic classifier that is able to classify QRS complexes. According to the classification success, the proposed methods were compared. Based on the results of this work, the best method for removing baseline wandering in the ECG is wav elet filtration. The success of the classification is further improved by the combination of wavelet filtration and EEMD. The disadvantage of this combination is its very high computational complexity .
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of IEEE Student Branch Conference Mikulov 2017
ISBN
978-80-214-5526-9
ISSN
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e-ISSN
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Number of pages
77
Pages from-to
63-66
Publisher name
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Mikulov
Event location
Mikulov, Czech republic
Event date
Aug 28, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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