Computational modeling of post-myocardial infarction arrhythmias: Insights and predictions

This study highlights the importance of scar anatomy in post-infarction arrhythmias and provides a novel approach to predicting arrhythmic risk. The findings support the use of patient-specific scar remodeling data for improving clinical risk assessments and guiding therapy to prevent future arrhythmias.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2025-08-15
DOI
https://doi.org/10.1016/j.compbiomed.2025.110894
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Computational modeling of post-myocardial infarction arrhythmias: Insights and predictions

Antonio Berruezo, David Soto‐Iglesias, Diego Penela, Beatriz Trénor et al.
Computers in Biology and Medicine
ECG Monitoring and Analysis
article

Computational modeling of post-myocardial infarction arrhythmias: Insights and predictions

Antonio Berruezo, David Soto‐Iglesias, Diego Penela, Beatriz Trénor, Juan F. Gómez, Javier Villar‐Valero
article en

Abstract

This study highlights the importance of scar anatomy in post-infarction arrhythmias and provides a novel approach to predicting arrhythmic risk. The findings support the use of patient-specific scar remodeling data for improving clinical risk assessments and guiding therapy to prevent future arrhythmias.

Computers in Biology and MedicineVol. 196(Pt C)
Valencian International University (ES), Hospital Quirón Teknon (ES), Universitat Politècnica de València (ES)
Openalex Percentile: Top 67%
ECG Monitoring and Analysis
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