ID: 4349717 A DEEP LEARNING ALGORITHM FOR PVC LOCALIZATION FROM A STANDARD 12 LEAD ECG

Frequent premature ventricular complexes (PVCs) can cause symptoms or systolic dysfunction, and may require catheter ablation. Success of catheter ablation depends on precise localization, often estimated by ECG analysis, and confirmed by mapping during ablation.

Authors

Publication Details

Journal
Heart Rhythm O2
Published
2025-09-01
DOI
https://doi.org/10.1016/j.hroo.2025.07.091
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

ID: 4349717 A DEEP LEARNING ALGORITHM FOR PVC LOCALIZATION FROM A STANDARD 12 LEAD ECG

Jason T. Jacobson, Chirag Shah, Subrat Das, Mithilesh K. Das et al.
Heart Rhythm O2
Medical Imaging Techniques and Applications
article

ID: 4349717 A DEEP LEARNING ALGORITHM FOR PVC LOCALIZATION FROM A STANDARD 12 LEAD ECG

Jason T. Jacobson, Chirag Shah, Subrat Das, Mithilesh K. Das, Sei Iwai
article en

Abstract

Frequent premature ventricular complexes (PVCs) can cause symptoms or systolic dysfunction, and may require catheter ablation. Success of catheter ablation depends on precise localization, often estimated by ECG analysis, and confirmed by mapping during ablation.

Heart Rhythm O2Vol. 6(9)
Openalex Percentile: Top 67%
Medical Imaging Techniques and Applications
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ID: 4349717 A DEEP LEARNING ALGORITHM FOR PVC LOCALIZATION FROM A STANDARD 12 LEAD ECG — Jason T. Jacobson, Chirag Shah, et al. · Heart Rhythm O2 (2025) | TGRS Research Map | TGRS