IEEE

Graph-Driven Feature Selection for ECG Classification: Leveraging Structural Dependencies Between Leads

Abstract: The precise identification of ECG patterns serves as an essential requirement for developing automated cardiac diagnosis systems. While Convolutional Neural Network (CNN) models are widely ...
IEEE

Multi-scale Feature Learning with CNN-RNN-Attention Framework for ECG-based Cancer Therapy-Related Cardiac Dysfunction Detection

Cancer therapy-related cardiac dysfunction (CTRCD) is an increasingly significant concern due to cardiac function deterioration caused by anticancer drug side effects. While echocardiography is the ...