Multichannel QRS Morphology Clustering - Data Preprocessing for Ultra-High-Frequency ECG Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F15%3A00452154" target="_blank" >RIV/68081731:_____/15:00452154 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/15:PU120337
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multichannel QRS Morphology Clustering - Data Preprocessing for Ultra-High-Frequency ECG Analysis
Original language description
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 o
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 3rd International Congress on Cardiovascular Technologies
ISBN
978-989-758-160-1
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
11-19
Publisher name
Polytechnic Institute of Setúbal
Place of publication
Lisbon
Event location
Lisbon
Event date
Nov 16, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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