An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm
Journal
European journal of medical research
Journal Volume
27
Journal Issue
1
Pages
289
Date Issued
2022-12-14
Author(s)
Tseng, Yu-Heng
Chiu, Fu-Chun
Tsai, Chin-Feng
Abstract
Ventricular premature complex (VPC) is a common arrhythmia in clinical practice. VPC could trigger ventricular tachycardia/fibrillation or VPC-induced cardiomyopathy in susceptible patients. Existing screening methods require prolonged monitoring and are limited by cost and low yield when the frequency of VPC is low. Twelve-lead electrocardiogram (ECG) is low cost and widely used. We aimed to identify patients with VPC during normal sinus rhythm (NSR) using artificial intelligence (AI) and machine learning-based ECG reading.
Subjects
12-Lead electrocardiogram; Artificial intelligence; Convolutional neural network; Ventricular premature complex
Publisher
BMC
Type
journal article