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PLEŠINGER, F. JURČO, J. HALÁMEK, J. LEINVEBER, P. POSTRÁNECKÁ, T. JURÁK, P.
Originální název
Multichannel QRS Morphology Clustering - Data Preprocessing for Ultra-High-Frequency ECG Analysis
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Ultra-high-frequency ECG (UHF-ECG) in a range of 500–1,000 Hz has been tested as a new information source for analysis of left-ventricle dyssynchrony and other myocardial abnormalities. The power of UHF signals is extremely low, for which reason an averaging technique is used to improve signal-to-noise ratio. Since ventricle dyssynchrony is different for various QRS complex types, the detected QRS complexes must be clustered into morphology groups prior to averaging. Here, we present a fully-automated method for clustering. The first goal of the method is to separate previously detected QRS complexes into different morphology groups. The second goal is to precisely fit the QRS annotation marks to the exact same position against the QRS shape. The method is based on the Pearson correlation and is optimized for parallel processing. In our application with UHF-ECG data the number of detected groups was 3.24 ± 3.41 (mean and standard deviation over 1,030 records). The method can be used in other areas also where the clustering of repetitive signal formations is needed. For validation purposes, the method was tested on the MIT-BIH Arrhythmia and INCART databases from Physionet with results of purity of 98.24% and 99.50%.
Klíčová slova
ECG; SAECG; QRS; Ultra-High-Frequency; Clustering; Multi-thread; Ventricle Dyssynchrony
Autoři
PLEŠINGER, F.; JURČO, J.; HALÁMEK, J.; LEINVEBER, P.; POSTRÁNECKÁ, T.; JURÁK, P.
Rok RIV
2015
Vydáno
6. 11. 2015
Nakladatel
Science and Technology Publications
Místo
Lisbon, Portugal
ISBN
978-989-758-160-1
Kniha
Proceedings of the 3rd International Congress on Cardiovascular Technologies
Edice
Číslo edice
1
Strany od
11
Strany do
19
Strany počet
9
URL
https://www.scitepress.org/Link.aspx?doi=10.5220/0005604200110019
Plný text v Digitální knihovně
http://hdl.handle.net/11012/201037
BibTex
@inproceedings{BUT128354, author="Filip {Plešinger} and Juraj {Jurčo} and Josef {Halámek} and Pavel {Leinveber} and Tereza {Postránecká} and Pavel {Jurák}", title="Multichannel QRS Morphology Clustering - Data Preprocessing for Ultra-High-Frequency ECG Analysis", booktitle="Proceedings of the 3rd International Congress on Cardiovascular Technologies", year="2015", series="2015", number="1", pages="11--19", publisher="Science and Technology Publications", address="Lisbon, Portugal", doi="10.5220/0005604200110019", isbn="978-989-758-160-1", url="https://www.scitepress.org/Link.aspx?doi=10.5220/0005604200110019" }