Leveraging ECG images for predicting ejection fraction using machine learning algorithms

Leveraging ECG images for predicting ejection fraction using machine learning algorithms

Introduction: The capability to accurately predict the ejection fraction (EF) from an electrocardiogram (ECG) holds significant and valuable clinical implications. Various algorithms based on ECG images are currently being evaluated, with most methods requiring raw signal data from ECG devices. In t...

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Main Authors: Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Indian Heart Journal
Subjects:
Left ventricular dysfunction
Machine learning
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S0019483225000550
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