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

Deep Learning-Based Early Prediction of Life-Threatening Ventricular Arrhythmias Using Long-Term Holter ECG Signals

1 Central People’s Hospital of Zhanjiang, Zhanjiang, China 2 Shenzhen Dawei Medical Technology Development Co., Ltd., Shenzhen, China, Shenzhen, China The final, formatted version of the article will ...
IEEE

Remote R-Peak Detection in Single-Lead ECG Chest Monitors Using Clustering Classification and Laser-Induced Graphene Electrodes

Abstract: This study presents a complete system for remote single-lead electrocardiogram (ECG) monitoring using a wearable device equipped with dry laser-induced graphene (LIG) electrodes. First, we ...
IEEE

Change Detection for Land-Cover Classification Using Deep Learning

Abstract: This work presents a deep learning-based strategy to recognize changes and classify six fundamental groups for land-cover: non-vegetated ground surface, tree, low vegetation, water, ...