Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for...
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
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 diseases, such as LVSD, adapted for noisy single-lead ECGs o...
Alternative Titles
Full title
Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_bc72dcbb5b9b4b829b83aa979048b9d8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bc72dcbb5b9b4b829b83aa979048b9d8
Other Identifiers
ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-023-00869-w
