Signal Reconstruction of Pulmonary Vein Recordings Using a Phenomenological Mathematical Model: Application to Pulmonary Vein Isolation Therapy

Frontiers in Physiology

Glyn Thomas¹  John R. Terry³  Harry D. Green⁴ 

[1] Bristol Heart InstituteBristol, United Kingdom;College of Engineering, Mathematics and Physical Sciences, University of ExeterExeter, United Kingdom;EPSRC Centre for Predictive Modelling in Healthcare, University of ExeterExeter, United Kingdom;Living Systems Institute, University of ExeterExeter, United Kingdom;Wellcome Trust Centre for Biomedical Modelling and Analysis, University of ExeterExeter, United Kingdom;

关键词: atrial fibrillation;    radiofrequency ablation;    pulmonary vein isolation;    mathematical model;    pulmonary vein recording;    signal reconstruction;   

DOI  :  10.3389/fphys.2017.00496

来源: DOAJ

【 摘 要 】

Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, is commonly initiated by ectopic beats originating from a small myocardial sleeve extending over the pulmonary veins. Pulmonary vein isolation therapy attempts to isolate the pulmonary veins from the left atrium by ablating tissue, commonly by using radiofrequency ablation. During this procedure, the cardiologist records electrical activity using a lasso catheter, and the activation pattern recorded is used as a guide toward which regions to ablate. However, poor contact between electrode and tissue can lead to important regions of electrical activity not being recorded in clinic. We reproduce these signals through the use of a phenomenological model of the cardiac action potential on a cylinder, which we fit to post-AF atrial cells, and model the bipolar electrodes of the lasso catheter by an approximation of the surface potential. The resulting activation pattern is validated by direct comparison with those of clinical recordings. A potential application of the model is to reconstruct the missing electrical activity, minimizing the impact of the information loss on the clinical procedure, and we present results to demonstrate this.

【 授权许可】

Unknown