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Circle Method for Robust Estimation of Local Conduction Velocity High-Density Maps From Optical Mapping Data: Characterization of Radiofrequency Ablation Sites

Siles-Paredes, Jimena G. ; Crowley, Christopher J.; Fenton, Flavio H.; Bhatia, Neal; Iravanian, Shahriar; Sandoval, Italo; Pollnow, Stefan 1; Dössel, Olaf 1; Salinet, João; Uzelac, Ilija
1 Institut für Biomedizinische Technik (IBT), Karlsruher Institut für Technologie (KIT)

Abstract:

Conduction velocity (CV) slowing is associated with atrial fibrillation (AF) and reentrant ventricular tachycardia (VT). Clinical electroanatomical mapping systems used to localize AF or VT sources as ablation targets remain limited by the number of measuring electrodes and signal processing methods to generate high-density local activation time (LAT) and CV maps of heterogeneous atrial or trabeculated ventricular endocardium. The morphology and amplitude of bipolar electrograms depend on the direction of propagating electrical wavefront, making identification of low-amplitude signal sources commonly associated with fibrotic area difficulty. In comparison, unipolar electrograms are not sensitive to wavefront direction, but measurements are susceptible to distal activity. This study proposes a method for local CV calculation from optical mapping measurements, termed the circle method (CM). The local CV is obtained as a weighted sum of CV values calculated along different chords spanning a circle of predefined radius centered at a CV measurement location. As a distinct maximum in LAT differences is along the chord normal to the propagating wavefront, the method is adaptive to the propagating wavefront direction changes, suitable for electrical conductivity characterization of heterogeneous myocardium. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000150649
Veröffentlicht am 04.10.2022
Originalveröffentlichung
DOI: 10.3389/fphys.2022.794761
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Biomedizinische Technik (IBT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1664-042X
KITopen-ID: 1000150649
Erschienen in Frontiers in Physiology
Verlag Frontiers Media SA
Band 13
Seiten Art.-.Nr.: 794761
Vorab online veröffentlicht am 12.08.2022
Nachgewiesen in Scopus
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