Reducing the burden of inconclusive smart device single-lead ECG tracings via a novel artificial intelligence algorithm.

Journal: Cardiovascular digital health journal
Published Date: Dec 27, 2023

Abstract

BACKGROUND: Multiple smart devices capable of automatically detecting atrial fibrillation (AF) based on single-lead electrocardiograms (SL-ECG) are presently available. The rate of inconclusive tracings by manufacturers' algorithms is currently too high to be clinically useful.

Authors

  • Simon Weidlich
    University Hospital Basel, Basel, Switzerland.
  • Diego Mannhart
    University Hospital Basel, Basel, Switzerland.
  • Alan Kennedy
    PulseAI, Belfast, United Kingdom.
  • Peter Doggart
    PulseAI, Belfast, United Kingdom.
  • Teodor Serban
    University Hospital Basel, Basel, Switzerland.
  • Sven Knecht
    University Hospital Basel, Basel, Switzerland.
  • Jeanne Du Fay de Lavallaz
    University Hospital Basel, Basel, Switzerland.
  • Michael Kühne
    University Hospital Basel, Basel, Switzerland.
  • Christian Sticherling
    University Hospital Basel, Basel, Switzerland.
  • Patrick Badertscher
    University Hospital Basel, Basel, Switzerland.

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