In-Silico Investigation of the Right and Left Atrial Contributions to the P-Wave Morphology in ECG of Healthy and Atrial Fibrillation Patients

Atrial fibrillation (AF), the most common arrhythmia, can be diagnosed from altered morphology of P-waves in patient's ECG.This study aims to evaluate contributions of electrical activity in the right (RA) and left atria (LA) to the P-wave in both control and AF patients.Two 3D torso computational models generated from highresolution CT patient scans were used for in-silico simulations of bi-atrial, RA-only and LA-only electrical activity and resulting 12-lead ECG.Body surface potentials were recorded in standard 12-lead ECG positions using pseudo-bidomain equations and finite element methods.We demonstrate that RA contributes nearly twice as much to P-wave morphology as LA and has a significantly greater impact on other indices.

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Publication Details

Journal
Computing in cardiology
Published
2024-12-01
DOI
https://doi.org/10.22489/cinc.2024.122
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

In-Silico Investigation of the Right and Left Atrial Contributions to the P-Wave Morphology in ECG of Healthy and Atrial Fibrillation Patients

Jakub Grzelak, Andrew P. King, Shaheim Ogbomo-Harmitt, Oleg Aslanidi
Computing in cardiology
ECG Monitoring and Analysis
article

In-Silico Investigation of the Right and Left Atrial Contributions to the P-Wave Morphology in ECG of Healthy and Atrial Fibrillation Patients

Jakub Grzelak, Andrew P. King, Shaheim Ogbomo-Harmitt, Oleg Aslanidi
article en

Abstract

Atrial fibrillation (AF), the most common arrhythmia, can be diagnosed from altered morphology of P-waves in patient's ECG.This study aims to evaluate contributions of electrical activity in the right (RA) and left atria (LA) to the P-wave in both control and AF patients.Two 3D torso computational models generated from highresolution CT patient scans were used for in-silico simulations of bi-atrial, RA-only and LA-only electrical activity and resulting 12-lead ECG.Body surface potentials were recorded in standard 12-lead ECG positions using pseudo-bidomain equations and finite element methods.We demonstrate that RA contributes nearly twice as much to P-wave morphology as LA and has a significantly greater impact on other indices.

Computing in cardiologyVol. 51
King's College London, Engineering and Physical Sciences Research Council
Zero hunger
Openalex Percentile: Top 58%
ECG Monitoring and Analysis
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