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

Journal: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
Published Date:

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 predictor of S-ICD eligibility, can be dynamic.

Authors

  • Mohamed ElRefai
    Cardiac Rhythm Management Research Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Mohamed Abouelasaad
    Cardiac Rhythm Management Research Department, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Benedict M Wiles
    St George's University Hospitals NHS Foundation Trust, United Kingdom.
  • Anthony J Dunn
    University of Southampton, School of Mathematical Sciences, United Kingdom.
  • Stefano Coniglio
    University of Southampton, School of Mathematical Sciences, United Kingdom.
  • Alain B Zemkoho
    University of Southampton, School of Mathematical Sciences, United Kingdom. Electronic address: a.b.zemkoho@soton.ac.uk.
  • John M Morgan
    Faculty of Medicine, University of Southampton, Southampton, UK.
  • Paul R Roberts
    University Hospital of Southampton, United Kingdom.