Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...
IEEE

Data Reduction and Signal Fidelity in Sparse ECG Compression Algorithms: A Comprehensive Study

Abstract: This study explores and examines the different techniques of sparse compression algorithms for the Electrocardiogram(ECG) signals, By improving their performance in data reduction and ...
IEEE

Ultra-High Quality ECG Compression for IoMT Application Using Temporal Convolutional Auto-Encoder with Improved RVQ

Abstract: Prolonged Electrocardiogram (ECG) monitoring through the Internet of Medical Things (IoMT) is vital for cardiac diagnosis yet generates prohibitive data volumes, posing significant ...
ahajournals.org

Inadequate Preventive Dental Care Is Associated With Higher Cardiovascular Risk Identified by ECG‐Based Artificial Intelligence Algorithms

Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence–enabled electrocardiography (AI‐ECG) ...