Adaptive lead weighted ResNet trained with different duration signals for classifying 12-lead ECGs
Zhibin Zhao, Hui Fang, Samuel D. Relton, Ruqiang Yan, Yuhong Liu, Zhijing Li, Jing Qin, David Wong
Abstract
Introduction: We describe the creation of a deep neural network architecture to classify cardiac abnormality from 12 lead ECGs. The model was created by the team "between a ROC and a heart place" for the Phys-ioNet/Computing in Cardiology Challenge 2020.
Topics & Concepts
Lead (geology)Artificial intelligenceLead timeComputer scienceResidual neural networkPattern recognition (psychology)EngineeringArtificial neural networkGeologyOperations managementGeomorphologyECG Monitoring and AnalysisEEG and Brain-Computer InterfacesAnalog and Mixed-Signal Circuit Design