A novel automated junctional ectopic tachycardia detection tool for children with congenital heart disease

ABSTRACT:

Background

Junctional ectopic tachycardia (JET) is a prevalent life-threatening arrhythmia in children with congenital heart disease (CHD), with marked resemblance to normal sinus rhythm (NSR) often leading to delay in diagnosis.

Objective

To develop a novel automated arrhythmia detection tool to identify JET.

Methods

A single-center retrospective cohort study of children with CHD was performed. Electrocardiographic (ECG) data produced by bedside monitors is captured automatically by the Sickbay platform. Based on the detection of R and P wave peaks, 2 interpretable ECG features are calculated: P prominence median and PR interval interquartile range (IQR). These features are used as input to a simple logistic regression classification model built to distinguish J

SUBMITTER: Waugh J 

PROVIDER: S-EPMC9207733 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature