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

Simon Weidlich^1,2, Diego Mannhart^1,2, Alan Kennedy³, Peter Doggart³, Teodor Serban^1,2, Sven Knecht^1,2, Jeanne Du Fay de Lavallaz^1,2, Michael Kühne^1,2, Christian Sticherling^1,2, Patrick Badertscher^1,2

¹University Hospital Basel, Basel, Switzerland.

²Cardiovascular Research Institute Basel (CRIB), Basel, Switzerland.

³PulseAI, Belfast, United Kingdom.

PubMed PMC DOI PDF

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. METHOD: This is a prospective, observational study enrolling patients presenting to a cardiology service at a tertiary r…

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