title: Atrial electromechanical cycle length mapping in paced canine hearts in vivo.
abstract: Atrial arrhythmias affect millions of people worldwide. Characterization and study of arrhythmias in the atria in the clinic is currently performed point by point using mapping catheters capable of generating maps of the electrical activation rate or cycle length. In this paper, we describe a new ultrasound-based mapping technique called electromechanical cycle length mapping (ECLM) capable of estimating the electromechanical activation rate, or cycle length, i.e., the rate of the mechanical activation of the myocardium which follows the electrical activation. ECLM relies on frequency analysis of the incremental strain within the atria and can be performed in a single acquisition. ECLM was validated in a canine model paced from the left atrial appendage, against pacing rates within the reported range of cycle lengths previously measured during atrial arrhythmias such as atrial fibrillation. Correlation between the global estimated electromechanical cycle lengths and pacing rates was shown to be excellent (slope = 0.983, intercept = 3.91, r(2) = 0.9999). The effect of the number of cardiac cycles on the performance of ECLM was also investigated and the reproducibility of ECLM was demonstrated (error between consecutive acquisitions for all pacing rates: 6.3 ± 4.3%). These findings indicate the potential of ECLM for noninvasively characterizing atrial arrhythmias and provide feedback on the treatment planning of catheter ablation procedures in the clinic.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Costet
authors.forename: Ethan
authors.initials: E
authors.lastname: Bunting
authors.forename: Julien
authors.initials: J
authors.lastname: Grondin
authors.forename: Alok
authors.initials: A
authors.lastname: Gambhir
authors.forename: Elisa E
authors.initials: EE
authors.lastname: Konofagou
mesh_terms: D000818:Animals; D001145:Arrhythmias, Cardiac / Q000000981:diagnostic imaging; D004285:Dogs; D004452:Echocardiography / Q000379:methods*; D006321:Heart / Q000502:physiology; D008297:Male; D010138:Pacemaker, Artificial; D012815:Signal Processing, Computer-Assisted