Classification of drug‐induced hERG potassium‐channel block from electrocardiographic T‐wave features using artificial neural networks

摘要

Human ether‐à‐go‐go‐related gene ( ) potassium‐channel block represents a harmful side effect of drug therapy that may cause torsade de pointes (TdP). Analysis of ventricular repolarization through electrocardiographic T‐wave features represents a noninvasive way to accurately evaluate the TdP risk in drug‐safety studies. This study proposes an artificial neural network ( ) for noninvasive electrocardiography‐based classification of the potassium‐channel block.