Literature DB >> 26149374

Modeling left and right atrial contributions to the ECG: A dipole-current source approach.

Vincent Jacquemet1.   

Abstract

This paper presents the mathematical formulation, the numerical validation and several illustrations of a forward-modeling approach based on dipole-current sources to compute the contribution of a part of the heart to the electrocardiogram (ECG). Clinically relevant applications include identifying in the ECG the contributions from the right and the left atrium. In a Courtemanche-based monodomain computer model of the atria and torso, 1000 dipoles distributed throughout the atrial mid-myocardium are found to be sufficient to reproduce body surface potential maps with a relative error <1% during both sinus rhythm and atrial fibrillation. When the boundary element method is applied to solve the forward problem, this approach enables fast offline computation of the ECG contribution of any anatomical part of the atria by applying the principle of superposition to the dipole sources. In the presence of a right-left activation delay (sinus rhythm), pulmonary vein isolation (sinus rhythm) or left-right differences in refractory period (atrial fibrillation), the decomposition of the ECG is shown to help interpret ECG morphology in relation to the atrial substrate. These tools provide a theoretical basis for a deeper understanding of the genesis of the P wave or fibrillatory waves in normal and pathological cases.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Cardiac electrophysiology; Computer modeling; Dipole source; Electrocardiogram; Left and right atria; P wave

Mesh:

Year:  2015        PMID: 26149374     DOI: 10.1016/j.compbiomed.2015.06.007

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Non-invasive localization of atrial ectopic beats by using simulated body surface P-wave integral maps.

Authors:  Ana Ferrer-Albero; Eduardo J Godoy; Miguel Lozano; Laura Martínez-Mateu; Felipe Atienza; Javier Saiz; Rafael Sebastian
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

2.  Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.

Authors:  Mark Potse
Journal:  Front Physiol       Date:  2018-04-20       Impact factor: 4.566

3.  Physiological Artifacts and the Implications for Brain-Machine-Interface Design.

Authors:  Majid Memarian Sorkhabi; Moaad Benjaber; Peter Brown; Timothy Denison
Journal:  Conf Proc IEEE Int Conf Syst Man Cybern       Date:  2020-10

4.  Clinical Usefulness of Computational Modeling-Guided Persistent Atrial Fibrillation Ablation: Updated Outcome of Multicenter Randomized Study.

Authors:  In-Soo Kim; Byounghyun Lim; Jaemin Shim; Minki Hwang; Hee Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Sung-Hwan Kim; Boyoung Joung; Young Keun On; Seil Oh; Yong-Seog Oh; Gi-Byung Nam; Moon-Hyoung Lee; Eun Bo Shim; Young-Hoon Kim; Hui-Nam Pak
Journal:  Front Physiol       Date:  2019-12-17       Impact factor: 4.566

5.  In situ procedure for high-efficiency computational modeling of atrial fibrillation reflecting personal anatomy, fiber orientation, fibrosis, and electrophysiology.

Authors:  Byounghyun Lim; Jaehyeok Kim; Minki Hwang; Jun-Seop Song; Jung Ki Lee; Hee-Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; Moon-Hyung Lee; Hui-Nam Pak
Journal:  Sci Rep       Date:  2020-02-12       Impact factor: 4.379

6.  Evaluation of a Rapid Anisotropic Model for ECG Simulation.

Authors:  Simone Pezzuto; Peter Kal'avský; Mark Potse; Frits W Prinzen; Angelo Auricchio; Rolf Krause
Journal:  Front Physiol       Date:  2017-05-02       Impact factor: 4.566

  6 in total

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