Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins

Premature ventricular contractions (PVCs) represent a common and clinically significant cardiac arrhythmia, contributing to a spectrum of cardiovascular disorders. Accurate localization of the origin of PVCs is essential for devising targeted therapeutic strategies and refining our comprehension of ventricular arrhythmogenesis. Traditionally, the 12-lead ECG has been the go-to diagnostic tool for PVCs. However, individual anatomical differences and inter-patient electrophysiology variability limit its effectiveness. This study presents a new method that combines electrocardiographic imaging (ECGI) with the concept of cardiac digital twins (ECGI-DT) to improve the accuracy of pinpointing the source of PVCs. By simulating a database of PVCs, we developed an ECGI-DT capable of estimating the origins of PVCs with much greater precision than possible previously. This study shows a notable improvement in identifying the initial site of PVC origin using ECGI-DT compared to ECGI alone: the average localization error dropped from 30.69 ± 23.71 mm with standard ECGI to 7.81 ± 3.82 mm using the ECGI-DT method. This marked reduction in error highlights the potential of ECGI-DT in revolutionizing PVC diagnosis and treatment. With its ability to provide more accurate and reliable data, ECGI-DT could improve the planning of catheter ablation treatments, a preferred intervention for managing PVCs that face challenges such as high costs and in some cases long procedure times.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2025-03-23
DOI
https://doi.org/10.1016/j.compbiomed.2025.109994
Citations
4
Primary Topic
Cardiac Arrhythmias and Treatments
Type
article
Field-Weighted Citation Impact
5.55

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article

Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins

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article

Enhancing premature ventricular contraction localization through electrocardiographic imaging and cardiac digital twins

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article en
4 citations

Abstract

Premature ventricular contractions (PVCs) represent a common and clinically significant cardiac arrhythmia, contributing to a spectrum of cardiovascular disorders. Accurate localization of the origin of PVCs is essential for devising targeted therapeutic strategies and refining our comprehension of ventricular arrhythmogenesis. Traditionally, the 12-lead ECG has been the go-to diagnostic tool for PVCs. However, individual anatomical differences and inter-patient electrophysiology variability limit its effectiveness. This study presents a new method that combines electrocardiographic imaging (ECGI) with the concept of cardiac digital twins (ECGI-DT) to improve the accuracy of pinpointing the source of PVCs. By simulating a database of PVCs, we developed an ECGI-DT capable of estimating the origins of PVCs with much greater precision than possible previously. This study shows a notable improvement in identifying the initial site of PVC origin using ECGI-DT compared to ECGI alone: the average localization error dropped from 30.69 ± 23.71 mm with standard ECGI to 7.81 ± 3.82 mm using the ECGI-DT method. This marked reduction in error highlights the potential of ECGI-DT in revolutionizing PVC diagnosis and treatment. With its ability to provide more accurate and reliable data, ECGI-DT could improve the planning of catheter ablation treatments, a preferred intervention for managing PVCs that face challenges such as high costs and in some cases long procedure times.

Computers in Biology and MedicineVol. 190
Karlsruhe Institute of Technology (DE), Universitat Autònoma de Barcelona (ES), Hospital General Universitario Gregorio Marañón (ES), Universitat Politècnica de València (ES)
Deutsche Forschungsgemeinschaft, Ministerio de Ciencia e Innovación, Leibniz ScienceCampus EEGA, Horizon 2020 Framework Programme, Leibniz-Gemeinschaft, European Social Fund, H2020 Marie Skłodowska-Curie Actions
Gender equality
Openalex Percentile: Top 4%
Cardiac Arrhythmias and Treatments
5.55
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