Analysis of Learned Feature Similarities to Diagnostic Criteria in Deep Learning-Based 12-Lead ECG Classification

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System,
deep learning   ECG   explainable AI   feature attribution   atrial fibrillation   left bundle branch block   biosignal processing  

Interpretability Research of Deep Learning in Automated ECG Diagnosis —— Progress Overview Based on Explainable AI 1. Academic Background and Problem Statement Electrocardiogram (ECG) is an important physiological signal acquisition method for clinical diagnosis of heart diseases, with a history of over a hundred years. In recent years, with the ra...

In Silico Modeling and Validation of the Effect of Calcium-Activated Potassium Current on Ventricular Repolarization in Failing Myocytes

Medicine, Basic Medical Sciences, Cardiovascular System, Life Sciences, Biochemistry, Bioengineering, Biophysics,
calcium-activated potassium channels   heart failure   ventricular repolarization   electrophysiological modeling   pharmacological modulation   arrhythmia   atrial fibrillation  

The Effect of Calcium-Activated Potassium Channels (SK Channels) on Repolarization in Failing Ventricular Myocytes—A Computational Modeling Study Research Background and Academic Significance Heart failure (HF) is a severe and prevalent cardiac disease, characterized by a comprehensive deterioration of the heart’s electrophysiological and contracti...