Extracting the QRS Complexity and R Beats in Electrocardiogram Signals Using the Hilbert Transform

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F14%3A00220179" target="_blank" >RIV/68407700:21220/14:00220179 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-45438-7_20" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-45438-7_20</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Extracting the QRS Complexity and R Beats in Electrocardiogram Signals Using the Hilbert Transform
Original language description
This paper presents a novel approach for the problem of detecting and extracting the QRS complex of electrocardiogram signals for different kinds of arrhythmias. First, an autocorrelation function is used in order to obtain the period of an electrocardiagram signal and then the Hilbert transform is applied to obtain R-peaks and beats. Twenty three different records extracted from the MIT-BIH arrhythmia database were used to validate the proposed approach. In this testing has been observed a 99.9 % of accuracy in detecting the QRS complexity, being a positive result in comparison with other recent researches.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Interdisciplinary Symposium on Complex Systems (Emergence, Complexity and Computation)
ISBN
978-3-642-45437-0
ISSN
2194-7287
e-ISSN
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Number of pages
11
Pages from-to
203-213
Publisher name
Springer
Place of publication
Berlin
Event location
Praha
Event date
Sep 10, 2013
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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