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Description
  • Atrial electrogram (AEGM) signal processing started to play an important role during radiofrequency ablation (RFA) of atrial fibrillation (AF). This work uses Sample Entropy (SampEn) as a tool for quantification and evaluation of AEGM complexity and discrimination between complex fractionated AEGM (CFAE) and non CFAE. Additionally, SampEn classification capabilities and its robustness are tested against the presence of spikes and sample loss. Both signal disturbances were superimposed to the original AEGM signals. AEGM signals were measured during RFA of AF in patients recommended for RFA of AF. The database consisted of 113 AEGM signals of short length, 1.5 s, classified by experts into nonCFAE and CFAE classes. The results demonstrated that SampEn conserved its clinical validity up to a 10% of spike contamination (Cxy > 0.8) even though it was able to differentiate between CFAE and nonCFAE classes up to a spike probability of 0.5. It also proved to differentiate between nonCFAE and CFAE classes with a data loss percentage of up to 50%. In conclusion, SampEn is a low computational cost, easy to implement, and robust tool to characterize and quantify complexity of AEGM in real time.
  • Atrial electrogram (AEGM) signal processing started to play an important role during radiofrequency ablation (RFA) of atrial fibrillation (AF). This work uses Sample Entropy (SampEn) as a tool for quantification and evaluation of AEGM complexity and discrimination between complex fractionated AEGM (CFAE) and non CFAE. Additionally, SampEn classification capabilities and its robustness are tested against the presence of spikes and sample loss. Both signal disturbances were superimposed to the original AEGM signals. AEGM signals were measured during RFA of AF in patients recommended for RFA of AF. The database consisted of 113 AEGM signals of short length, 1.5 s, classified by experts into nonCFAE and CFAE classes. The results demonstrated that SampEn conserved its clinical validity up to a 10% of spike contamination (Cxy > 0.8) even though it was able to differentiate between CFAE and nonCFAE classes up to a spike probability of 0.5. It also proved to differentiate between nonCFAE and CFAE classes with a data loss percentage of up to 50%. In conclusion, SampEn is a low computational cost, easy to implement, and robust tool to characterize and quantify complexity of AEGM in real time. (en)
Title
  • Atrial Electrogram Complex Fractionated Entropy Study
  • Atrial Electrogram Complex Fractionated Entropy Study (en)
skos:prefLabel
  • Atrial Electrogram Complex Fractionated Entropy Study
  • Atrial Electrogram Complex Fractionated Entropy Study (en)
skos:notation
  • RIV/68407700:21730/14:00221647!RIV15-MSM-21730___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GPP103/11/P106), Z(MSM6840770012)
http://linked.open...iv/cisloPeriodika
  • 9
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
  • 4467
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21730/14:00221647
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Sample Loss; Spikes; Sample Entropy; CFAE; Atrial Fibrillation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CA - Kanada
http://linked.open...ontrolniKodProRIV
  • [DE81352B410C]
http://linked.open...i/riv/nazevZdroje
  • Experimental & Clinical Cardiology
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...v/svazekPeriodika
  • 20
http://linked.open...iv/tvurceVysledku
  • Křemen, Václav
  • Novák, Daniel
  • Frau, D. C.
  • Picó, A. M.
  • Roldán, E.M.C.
http://linked.open...n/vavai/riv/zamer
issn
  • 1205-6626
number of pages
http://localhost/t...ganizacniJednotka
  • 21730
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