The R″ wave in V1 and the negative terminal QRS vector in aVF combine to a novel 12-lead ECG algorithm to identify slow conducting anatomical isthmus 3 in patients with tetralogy of Fallot.

Justin Wallet Yoshitaka Kimura Nico A Blom Sumche Man Monique R M Jongbloed Katja Zeppenfeld

Published in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2023)

A sinus rhythm ECG-based algorithm including R″ in V1 and/or NTP ≥80 ms in aVF can identify rTOF patients with a SCAI 3 and may contribute to non-invasive risk stratification for VT.

Keyphrases

heart rate
machine learning
heart rate variability
deep learning
mass spectrometry
multiple sclerosis
ms ms
atrial fibrillation
neural network
blood pressure
heart failure
cardiac resynchronization therapy
left ventricular