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rdf:type
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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 %22classical%22 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 %22easy-to-compute%22 statistical moments; hermite coefficients and Karhunen Loeve coefficients.
- 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 %22classical%22 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 %22easy-to-compute%22 statistical moments; hermite coefficients and Karhunen Loeve coefficients. (en)
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Title
| - Is it Possible to Distinguish Different Types of ECG-Holter Beats Based Solely on Features Obtained from Windowed QRS Complex?
- Is it Possible to Distinguish Different Types of ECG-Holter Beats Based Solely on Features Obtained from Windowed QRS Complex? (en)
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skos:prefLabel
| - Is it Possible to Distinguish Different Types of ECG-Holter Beats Based Solely on Features Obtained from Windowed QRS Complex?
- Is it Possible to Distinguish Different Types of ECG-Holter Beats Based Solely on Features Obtained from Windowed QRS Complex? (en)
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skos:notation
| - RIV/68407700:21230/09:00158492!RIV10-AV0-21230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/09:00158492
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - ECG holter; classification; ventricular beats; ensemble classifier; feature set comparison (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Chudáček, Václav
- Lhotská, Lenka
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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issn
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Springer Science+Business Media
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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