• DocumentCode
    3749003
  • Title

    Self-terminating re-entrant cardiac arrhythmias: quantitative characterization

  • Author

    Alan P Benson;Barrie Hayes-Gill;Arun V Holden;Rosa Matthews;Aneela Naz;Stephen Page;Eleftheria Pervolaraki;Edward Spofford;Muzahir Tayebjee

  • Author_Institution
    University of Leeds, UK
  • fYear
    2015
  • Firstpage
    641
  • Lastpage
    644
  • Abstract
    Atrial and ventricular tachyarrhythmia are often sustained by re-entrant propagation, and explained by deterministic models. A quantitative, stochastic description of self-termination provides an alternative to the current paradigm for re-entrant tachyarrhythmia - that of triggers and a substrate, modelled by parametrically heterogeneous deterministic partial differential equations Atrial and ventricular data was from recordings obtained during routine clinical monitoring and treatment, either noninvasively or invasively. Atrial and ventricular tachycardia are characterised by their initiation times and durations, re-presented as instantaneous rates, whose means estimate transition probabilities/s for onset and termination. These estimated probabilities range from 10-9 to 10-1/s.
  • Keywords
    "Computational modeling","Lead","Monitoring","Electrocardiography"
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2015
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-5090-0685-4
  • Electronic_ISBN
    2325-887X
  • Type

    conf

  • DOI
    10.1109/CIC.2015.7410992
  • Filename
    7410992