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Journal Article

Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate

Sam Coveney; Chris Cantwell; Caroline Roney
Medical & Biological Engineering & Computing · Vol. 60, Issue 9 · pp. 2463-2478 · 2022

Abstract

Characterizing patient-specific atrial conduction properties is important for understanding arrhythmia drivers, for predicting potential arrhythmia pathways, and for personalising treatment approaches. One metric that characterizes the health of the myocardial substrate is atrial conduction velocity, which describes the speed and direction of propagation of the electrical wavefront through the myocardium. Atrial conduction velocity mapping algorithms are under continuous development in research laboratories and in industry. In this review article, we give a broad overview of different categories of currently published methods for calculating CV, and give insight into their different advantages and disadvantages overall. We classify techniques into local, global, and inverse methods, and discuss these techniques with respect to their faithfulness to the biophysics, incorporation of uncertainty quantification, and their ability to take account of the atrial manifold. Graphical abstract

Bibliographic Information

JournalMedical & Biological Engineering & Computing
PublisherSpringer
Publication Date2022-09-01
Publication Year2022
Volume60
Issue9
Pages2463-2478
Document TypeJournal Article
Print ISSN0140-0118
eISSN1741-0444
DOI10.1007/s11517-022-02621-0

Access Information

NARA Access Coverage1963-01-01~Current
Journal Homepagehttps://www.springer.com/journal/11517
Publisher PageOpen Publisher Page
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