IEEE

Efficient ECG Anomaly Detection Using Autoencoder-Based Dimensionality Reduction: A Comparative Study of Machine Learning Algorithms

Abstract: Electrocardiograms (ECGs) are widely used to diagnose various cardiovascular conditions. While deep learning models have shown high accuracy in ECG classification, challenges such as high ...
ahajournals.org

Predicting Recurrence and Outcomes After Stressor‐Associated Atrial Fibrillation Using ECG‐Based Deep Learning

Stressor‐associated atrial fibrillation (AF) refers to new‐onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide ...
techtimes

AI Cyberattacks Rising: How Hackers Use Machine Learning to Launch Smarter Attacks

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
IEEE

ECG Based Stress Detection Using Machine Learning

Abstract: Today, the endeavour of accomplishment and performance has increased the efficiency immensely, yet it comes with its own price. There has been a drastic increase in the diseases related to ...