B-PO01-080 ARTIFICIAL INTELLIGENCE-ENABLED ASSESSMENT OF THE HEART RATE CORRECTED QT INTERVAL USING A MOBILE ELECTROCARDIOGRAM DEVICE IN CHILDREN AND ADOLESCENTS

Volume: 18, Issue: 8, Pages: S82 - S83
Published: Aug 1, 2021
Abstract
QT prolongation, whether secondary to drugs, congenital long QT syndrome (LQTS), or systemic diseases can predispose to ventricular arrhythmias and sudden cardiac death (SCD). Currently, QTc assessment and monitoring requires a 12-lead electrocardiogram (ECG). Recently, we successfully developed an artificial intelligence (AI)-enabled ECG algorithm to determine the QTc and successfully applied this on tracings acquired from a mobile ECG (mECG)...
Paper Details
Title
B-PO01-080 ARTIFICIAL INTELLIGENCE-ENABLED ASSESSMENT OF THE HEART RATE CORRECTED QT INTERVAL USING A MOBILE ELECTROCARDIOGRAM DEVICE IN CHILDREN AND ADOLESCENTS
Published Date
Aug 1, 2021
Volume
18
Issue
8
Pages
S82 - S83
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.