Leveraging ECG images for predicting ejection fraction using machine learning algorithms
Actual images of ECGs with simple pre-processing and model architecture can be used as a reliable tool to screen for LVD. The use of images expands the reach of these algorithms to geographies with resource and technological limitations.
Authors
- Abhyuday Kumara Swamy
- Pradeep Narayan (ORCID: https://orcid.org/0000-0002-3843-1338)
- Paramita Auddya Ghorai
- Santhosh Rathnam Palani
- Vivek Rajagopal
- Deepak G. Krishnan (ORCID: https://orcid.org/0000-0003-2435-9205)
- Deepak Padmanabhan (ORCID: https://orcid.org/0000-0002-9127-9275)
- Anagha Choukhande
- Devi Prasad Shetty (ORCID: https://orcid.org/0000-0001-9767-034X)
- Emmanuel Rupert
Institutions
- Narayana Health (IN)
- EP Analytics (United States) (US)
- San Diego Cardiac Center (US)
- Electrophysiology Research Foundation (US)
Publication Details
- Journal
- Indian Heart Journal
- Published
- 2025-03-30
- DOI
- https://doi.org/10.1016/j.ihj.2025.03.009
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00