Suchergebnisse

Myocardial slices are widely used for cardiac electrophysiology research but correspondence of electrophysiological properties between the cardiac slices and the whole heart has not been studied in details. The aim of this study is to investigate the differences in electrophysiological properties between the left ventricle and the longitudinal ventricular slice passing through the apex using mathematical models. ECG signals and the time of activation and repolarization, repolarization dispersion and dispersion of action potential duration were compared. We have shown that the electrophysiological processes in the ventricle and the longitudinal ventricular slice are quite similar, so we believe that cardiac slices can be used to evaluate global electrophysiological properties of the ventricles. The local differences obtained can be explained by differences in geometry and fiber orientation locally affecting depolarization and repolarization in the myocardium. © 2018 Creative Commons Attribution. ; Russian Foundation for Basic Research, RFBR: 16-31-60015, 18-31-00401 ; This work was supported by IIF UrB RAS theme #AAAA-A18-118020590031-8, RFE Government Act #211 of March 16, 2013, the Program of the Presidium RAS #27 and RFBR (#16-31-60015, 18-31-00401).

Personalised cardiac models were built from the computed tomography imaging data for two patients with implanted cardiac resynchronisation therapy devices. The cardiac models comprised a biventricular model of myocardial electrophysiology coupled with a model of the torso to simulate the body surface potential map. The models were verified against electrocardiogams (ECG) recorded in the patients from 240 leads on the body surface under left ventricular pacing. The simulated ECG demonstrated a significant sensitivity to the myocardial anisotropy and location of the pacing electrode tip in the models. An apicobasal cellular heterogeneity was shown to be less significant for the ECG pattern at the paced-ventricle activation than that showed earlier by Keller and co-authors (2012) for the normal activation sequence. © 2017 IEEE Computer Society. All rights reserved. ; This study was supported by the RAS Presidium Programme I.33Π, and Government of the Russian Federation (agreement 02.A03.21.0006). We used the computational clusters of Ural Federal University and "URAN" of Institute of Mathematics and Mechanics (Ekaterinburg).