Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

Abstract Artificial intelligence (AI) can detect left ventricular systolic dysfunction (LVSD) from electrocardiograms (ECGs). Wearable devices could allow for broad AI-based screening but frequently obtain noisy ECGs. We report a novel strategy that automates the detection of hidden cardiovascular d...

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Bibliographic Details
Main Authors: Akshay Khunte, Veer Sangha, Evangelos K. Oikonomou, Lovedeep S. Dhingra, Arya Aminorroaya, Bobak J. Mortazavi, Andreas Coppi, Cynthia A. Brandt, Harlan M. Krumholz, Rohan Khera
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00869-w

Internet

https://doi.org/10.1038/s41746-023-00869-w

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