About: Proposal of Feature Extraction from Wavelet Packets Decomposition of QRS Complex for Normal and Ventricular ECG Beats Classification     Goto   Sponge   Distinct   Permalink

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Description
  • Práce se zabývá návrhem metody extrakce příznaků z časově frekvenčního prostoru vlnkové trasnformace pro získání popisu ventrikulárního a normální srdečního cyklu. Navržený přístup byl testován na testovací a validační množině zaznamů z MIT databáze a bylo dosaženo výsledků senzitivity 97,7% a 91,9%, secificity 95,1% a 87,1% a celkové přesnosti 96,3% a 90,4%. (cs)
  • Long term holter monitoring is widely applied to patients with heart problems such as arrhythmias. The primary task of computer aided systems in holter ECG evaluation is to distinguish between different beat types. In this work we investigate the use of wavelet packets transform as a mean to extract features capable of providing the information needed by a classifier for discrimination between Ventricular (V) and Normal beats (N). We designed approach for feature extraction based on wavelet packets and template matching. We used MIT database for test of this approach. The database was divided into to subsets (testing and validation) and we obtained sensitivity 97,7% and 91,9%, specificity 95,1% and 87,1%, overall accuracy 96,3% and 90,4% on the first subset and second subset respectively.
  • Long term holter monitoring is widely applied to patients with heart problems such as arrhythmias. The primary task of computer aided systems in holter ECG evaluation is to distinguish between different beat types. In this work we investigate the use of wavelet packets transform as a mean to extract features capable of providing the information needed by a classifier for discrimination between Ventricular (V) and Normal beats (N). We designed approach for feature extraction based on wavelet packets and template matching. We used MIT database for test of this approach. The database was divided into to subsets (testing and validation) and we obtained sensitivity 97,7% and 91,9%, specificity 95,1% and 87,1%, overall accuracy 96,3% and 90,4% on the first subset and second subset respectively. (en)
Title
  • Proposal of Feature Extraction from Wavelet Packets Decomposition of QRS Complex for Normal and Ventricular ECG Beats Classification
  • Návrh metody extrakce příznaků z vlnkové transformace QRS komplexu pro normální a ventrikulární srdeční cyklus (cs)
  • Proposal of Feature Extraction from Wavelet Packets Decomposition of QRS Complex for Normal and Ventricular ECG Beats Classification (en)
skos:prefLabel
  • Proposal of Feature Extraction from Wavelet Packets Decomposition of QRS Complex for Normal and Ventricular ECG Beats Classification
  • Návrh metody extrakce příznaků z vlnkové transformace QRS komplexu pro normální a ventrikulární srdeční cyklus (cs)
  • Proposal of Feature Extraction from Wavelet Packets Decomposition of QRS Complex for Normal and Ventricular ECG Beats Classification (en)
skos:notation
  • RIV/68407700:21230/08:03151588!RIV09-AV0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET201210527)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 390541
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03151588
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ECG; arrhythmias; feature extraction; local discriminant bases; wavelet packets; wavelet transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F97C623E8EB8]
http://linked.open...v/mistoKonaniAkce
  • Antwerp
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • IFMBE Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Huptych, Michal
  • Lhotská, Lenka
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1680-0737
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-540-89207-6
http://localhost/t...ganizacniJednotka
  • 21230
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