Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms

Non-Invasive Heart Failure Evaluation Using Machine Learning Algorithms

Heart failure is a prevalent cardiovascular condition with significant health implications, necessitating effective diagnostic strategies for timely intervention. This study explores the potential of continuous monitoring of non-invasive signals, specifically integrating photoplethysmogram (PPG) and...

Full description

Bibliographic Details
Main Authors: Odeh Adeyi Victor, Yifan Chen, Xiaorong Ding
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
heart failure
photoplethysmogram
echocardiogram
machine learning
Online Access:https://www.mdpi.com/1424-8220/24/7/2248

Internet

https://www.mdpi.com/1424-8220/24/7/2248

Similar Items