Assessment of Atrial Fibrillation organization during Internal Electrical Cardioversion using Sample Entropy

NC Castro, J Grimaldos, OJ Escalona, Vivek Kodoth, Ernest Lau, Ganesh Manoharan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Predicting non-invasively the effectiveness of a shock on Internal Electrical Cardioversion (IECV) is clinically relevant to enhance step-up voltage protocols in the treatment of Persistent Atrial Fibrillation (PAF). The present study assess the ability of a non-linear index, such as sample entropy (SampEn), to follow-up noninvasively AF organization undersuccessive attempts of IECV and to predict the effectiveness of every single shock. Results showed a SampEn significant difference just after the first attempt in successful vs unsuccessful patients (0.0398 ± 0.0139) vs. (0.0608 ± 0.0221) p = 0.0094; indicating that probably first shock plays the most important role in the procedure.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Computer Society
Pages191-194
Number of pages4
ISBN (Print)978-0-7695-4882-1/12
DOIs
Publication statusPublished - 15 Dec 2012
EventIEEE Andean Region International Conference 2012 (Andescon 2012) - Cuenca, Ecuador
Duration: 15 Dec 2012 → …
http://andescon2012.org/index.php/congreso2012/andesconcuenca

Conference

ConferenceIEEE Andean Region International Conference 2012 (Andescon 2012)
Period15/12/12 → …
Internet address

Keywords

  • Atrial fibrillation
  • ECG
  • sample entropy
  • chaos
  • AF cardioversion
  • prediction
  • treatment outcome
  • cardiology.

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