ID: 4316174 STUDYING LEFT ATRIAL ARRHYTHMIAS USING A REAL-TIME, INTERACTIVE DIGITAL TWIN

Left atrial arrhythmias—such as atrial fibrillation—are major contributors to stroke and heart failure. While catheter ablation is a common therapeutic approach, its success can be improved through predictive modeling. However, current computational tools often lack the interactivity and realism needed for dynamic arrhythmia exploration.

Authors

Publication Details

Journal
Heart Rhythm O2
Published
2025-09-01
DOI
https://doi.org/10.1016/j.hroo.2025.07.027
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

ID: 4316174 STUDYING LEFT ATRIAL ARRHYTHMIAS USING A REAL-TIME, INTERACTIVE DIGITAL TWIN

Brandon Wyatt, Kyla Moore, Charles Puelz, Avery Campbell et al.
Heart Rhythm O2
Digital Transformation in Industry
article

ID: 4316174 STUDYING LEFT ATRIAL ARRHYTHMIAS USING A REAL-TIME, INTERACTIVE DIGITAL TWIN

Brandon Wyatt, Kyla Moore, Charles Puelz, Avery Campbell, Bryant Wyatt, Gavin McIntosh, Mark Little, Leah Rogers, Mason Bane, Conner Homrighaus
article en

Abstract

Left atrial arrhythmias—such as atrial fibrillation—are major contributors to stroke and heart failure. While catheter ablation is a common therapeutic approach, its success can be improved through predictive modeling. However, current computational tools often lack the interactivity and realism needed for dynamic arrhythmia exploration.

Heart Rhythm O2Vol. 6(9)
Openalex Percentile: Top 67%
Digital Transformation in Industry
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