Frontiers

End-to-End Non-Invasive ECG Signal Generation from PPG Signal: A Self-Supervised Learning Approach

The final, formatted version of the article will be published soon. Electrocardiogram (ECG) signals are frequently utilized for detecting important cardiac events, such as variations in ECG intervals, ...
Frontiers

Eye-Tracking Biomarkers of Clinical Expertise in ECG Interpretation: Statistical and Machine Learning Evidence

Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia The final, formatted version of the article will be published soon. Interpreting ...
IEEE

A Comprehensive Review of Machine Learning Approaches for Semiconductor Device Modeling and Simulation

Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
IEEE

Robust ECG Classification using Mamba and Self-Supervised Representation Learning

Abstract: Electrocardiograms (ECG) offer a quick and noninvasive method to analyze heart disorders. However, analysis of ECGs under non-ideal or noisy situations presents challenges, even for experts.