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Description
  • Identification of complex fractionated atrial electrograms (CFAEs) sites is crucial for the development of new AF ablation strategies. CFAE may represent the electrophysiological substrate for atrial fibrillation (AF). Progress in signal processing algorithms is the key part of this task. Algorithm for automated description of atrial electrograms (A-EGMs) fractionation based on wavelet transform and several feature extraction methods and statistical pattern recognition was proposed and methodology of A-EGM processing was designed and tested. The algorithms for signal processing, description and classification were developed and validated using a representative set of 1:5 s A-EGMs (n = 113) ranked by 3 independent experts into 4 classes of fractionation: 1 - organized atrial activity; 2 - mild; 3 - intermediate; 4 - high degree of fractionation.
  • Identification of complex fractionated atrial electrograms (CFAEs) sites is crucial for the development of new AF ablation strategies. CFAE may represent the electrophysiological substrate for atrial fibrillation (AF). Progress in signal processing algorithms is the key part of this task. Algorithm for automated description of atrial electrograms (A-EGMs) fractionation based on wavelet transform and several feature extraction methods and statistical pattern recognition was proposed and methodology of A-EGM processing was designed and tested. The algorithms for signal processing, description and classification were developed and validated using a representative set of 1:5 s A-EGMs (n = 113) ranked by 3 independent experts into 4 classes of fractionation: 1 - organized atrial activity; 2 - mild; 3 - intermediate; 4 - high degree of fractionation. (en)
Title
  • Evaluation of Endocardial Electrograms Fractionation Complexity in Human Using Statistical Pattern Recognition
  • Evaluation of Endocardial Electrograms Fractionation Complexity in Human Using Statistical Pattern Recognition (en)
skos:prefLabel
  • Evaluation of Endocardial Electrograms Fractionation Complexity in Human Using Statistical Pattern Recognition
  • Evaluation of Endocardial Electrograms Fractionation Complexity in Human Using Statistical Pattern Recognition (en)
skos:notation
  • RIV/68407700:21230/09:00163372!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
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
  • 313844
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00163372
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • atrial fibrillation; complex fractionated electrograms; signal processing; pattern recognition; feature extraction; classification. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7EB29FCA96F0]
http://linked.open...v/mistoKonaniAkce
  • Mnichov
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lhotská, Lenka
  • Křemen, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 1680-0737
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer Science+Business Media
https://schema.org/isbn
  • 978-3-642-03897-6
http://localhost/t...ganizacniJednotka
  • 21230
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