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 ...
Frontiers

Editorial: Neuromorphic and deep learning paradigms for neural data interpretation and computational neuroscience

Interdisciplinary research between neuromorphic and deep learning paradigms has developed rapidly in recent years. Key advances include silicon nano-devices and memristors for neuromorphic computing, ...
IEEE

Development and Validation of Feature-Based Machine Learning for ECG Artifact Detection and Classification

Abstract: ECG signals are vital for diagnosing cardiovascular diseases, but artifacts like power line interference, baseline wander, and motion artifacts hinder accurate interpretation. This study ...
IEEE

TCGAN: Temporal Convolutional Generative Adversarial Network for Fetal ECG Extraction Using Single-Channel Abdominal ECG

Abstract: Noninvasive fetal ECG (FECG) monitoring holds significant importance in ensuring the normal development of the fetus. Since FECG is usually submerged by maternal ECG (MECG) and background ...