Transmural propagation was faster in areas with larger imbrication angles, leading to a narrower QRS complex in pseudo-ECGs.
Computational modeling demonstrates that left ventricular fibre orientation, particularly the imbrication angle, significantly affects transmural electrical propagation and QRS complex width.
AIMS: This computational study examined the influence of fibre orientation on the electrical processes in the heart. In contrast to similar previous studies, human diffusion tensor magnetic resonance imaging measurements were used. METHODS: The fibre orientation was extracted from distinctive regions of the left ventricle. It was incorporated in a single tissue segment having a fixed geometry. The electrophysiological model applied in the computational units considered transmural heterogeneities. Excitation was computed by means of the monodomain model; the accompanying pseudo-electrocardiograms (ECGs) were calculated. RESULTS: The distribution of fibre orientation extracted from the same transversal section showed only small variations. The fibre information extracted from the equal circumferential but different longitudinal positions showed larger differences, mainly in the imbrication angle. Differences of the endocardial myocyte orientation mainly affected the beginning of the activation sequence. The transmural propagation was faster in areas with larger imbrication angles leading to a narrower QRS complex in pseudo-ECGs. CONCLUSION: The model can be expanded to simulate electrophysiology and contraction in the whole heart geometry. Embedded in a torso model, the impact of fibre orientation on body surface ECGs and their relation to local pseudo-ECGs can be identified.
Weiss et al. (Wed,) conducted a other in Electrophysiology of the left ventricle. Fibre orientation extracted from different segments of the human left ventricle was evaluated on Activation and repolarization sequence (pseudo-ECGs). Transmural propagation was faster in areas with larger imbrication angles, leading to a narrower QRS complex in pseudo-ECGs.