Robust QRS Detection Using Combination of Three Independent Methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU137826" target="_blank" >RIV/00216305:26220/20:PU137826 - isvavai.cz</a>
Result on the web
<a href="http://www.cinc.org/archives/2020/pdf/CinC2020-100.pdf" target="_blank" >http://www.cinc.org/archives/2020/pdf/CinC2020-100.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22489/CinC.2020.100" target="_blank" >10.22489/CinC.2020.100</a>
Alternative languages
Result language
angličtina
Original language name
Robust QRS Detection Using Combination of Three Independent Methods
Original language description
QRS detection is a fundamental step in ECG analysis. Although there are many algorithms reporting results close to 100%, this problem is still not resolved. The reported numbers are influenced by the quality of the detector, the quality of annotations and also by the chosen method of testing. In this study, we proposed and properly tested robust QRS detection algorithm based on a combination of three independent principles. For enhancement of QRS complexes there were developed three independent approaches based on continuous wavelet transform, Stockwell transform and phasor transform which are followed by individual adaptive thresholding. Each method produces candidates for QRS complexes which are further processed by cluster analysis resulting in final QRS positions. The proposed detection algorithm was tested on three complete standard ECG databases: MIT-BIH Arrhythmia Database, European ST-T Database and QT Database without any change in algorithm setting. We utilized complete data from mentioned databases including all provided leads and used original (not adjusted) reference positions of QRS complexes. Summarized detection accuracy for all three databases was expressed by sensitivity 99.16% and positive predictive value 98.99%.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computing in Cardiology 2020
ISBN
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ISSN
2325-887X
e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
Rimini, Italy
Event location
Rimini
Event date
Sep 13, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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