Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure

Role of deep learning methods in screening for subcutaneous implantable cardioverter defibrillator in heart failure

Abstract Introduction S‐ICD eligibility is assessed at pre‐implant screening where surface ECG traces are used as surrogates for S‐ICD vectors. In heart failure (HF) patients undergoing diuresis, electrolytes and fluid shifts can cause changes in R and T waves. Subsequently, T:R ratio, a major predi...

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Bibliographic Details
Main Authors: Mohamed ElRefai, Mohamed Abouelasaad, Benedict M. Wiles, Anthony J. Dunn, Stefano Coniglio, Alain B. Zemkoho, John M. Morgan, Paul R. Roberts
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Annals of Noninvasive Electrocardiology
Subjects:
artificial intelligence
heart failure
machine learning
subcutaneous implantable cardiac defibrillator
sudden cardiac death
Online Access:https://doi.org/10.1111/anec.13028

Internet

https://doi.org/10.1111/anec.13028

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