Is it Possible to Distinguish Different Types of ECG-Holter Beats Based Solely on Features Obtained from Windowed QRS Complex?
Result description
The main focus of this paper is to investigate the possibility to distinguish among different classes of beats, as provided by ANSI/AAMI EC57:1998 standard, from the ECG holter recordings. We compare the performance of an ensemble classifier based on three classifiers on distinguishing ECG beats from holter recordings characterized by two distinct sets of features. The first feature set is one relying upon the "classical" time interval measurements of QRS complex and T-wave. The second one tries to describe the beat using means as simple as possible resulting in a description of the QRS complex in terms of "easy-to-compute" statistical moments; hermite coefficients and Karhunen Loeve coefficients.
Keywords
ECG holterclassificationventricular beatsensemble classifierfeature set comparison
The result's identifiers
Result code in IS VaVaI
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Is it Possible to Distinguish Different Types of ECG-Holter Beats Based Solely on Features Obtained from Windowed QRS Complex?
Original language description
The main focus of this paper is to investigate the possibility to distinguish among different classes of beats, as provided by ANSI/AAMI EC57:1998 standard, from the ECG holter recordings. We compare the performance of an ensemble classifier based on three classifiers on distinguishing ECG beats from holter recordings characterized by two distinct sets of features. The first feature set is one relying upon the "classical" time interval measurements of QRS complex and T-wave. The second one tries to describe the beat using means as simple as possible resulting in a description of the QRS complex in terms of "easy-to-compute" statistical moments; hermite coefficients and Karhunen Loeve coefficients.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
1ET201210527: Knowledge-based support of diagnostics and prediction in cardiology
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
ISBN
978-3-642-03897-6
ISSN
1680-0737
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
Springer Science+Business Media
Place of publication
Berlin
Event location
Mnichov
Event date
Sep 7, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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Basic information
Result type
D - Article in proceedings
CEP
JC - Computer hardware and software
Year of implementation
2009