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
Link To Document :
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