Arunashis Sau, Safi Ibrahim, Daniel B Kramer, Jonathan W Waks, Norman Qureshi, Michael Koa-Wing, Daniel Keene, Louisa Malcolme-Lawes, David C Lefroy, Nicholas W F Linton, Phang Boon Lim, Amanda Varnava, Zachary I Whinnett, Prapa Kanagaratnam, Danilo Mandic, Nicholas S Peters, Fu Siong Ng
BACKGROUND: Accurately determining arrhythmia mechanism from a 12-lead electrocardiogram (ECG) of supraventricular tachycardia can be challenging. We hypothesized a convolutional neural network (CNN) can be trained to classify atrioventricular re-entrant tachycardia (AVRT) vs atrioventricular nodal re-entrant tachycardia (AVNRT) from the 12-lead ECG, when using findings from the invasive electrophysiology (EP) study as the gold standard. METHODS: We trained a CNN on data from 124 patients undergoing EP studies with a final diagnosis of AVRT or AVNRT...
April 2023: Cardiovascular digital health journal