Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management
Z. Wu, Caixia Guo
Abstract
This paper reviews the recent advancements in the application of deep learning combined with electrocardiography (ECG) within the domain of cardiovascular diseases, systematically examining 198 high-quality publications. Through meticulous categorization and hierarchical segmentation, it provides an exhaustive depiction of the current landscape across various cardiovascular ailments. Our study aspires to furnish interested readers with a comprehensive guide, thereby igniting enthusiasm for further, in-depth exploration and research in this realm.
Topics & Concepts
Deep learningArtificial intelligenceElectrocardiographyComputer scienceMedicineData scienceCategorizationDiseaseCurrent (fluid)CardiologyEngineeringPathologyElectrical engineeringECG Monitoring and AnalysisCardiac electrophysiology and arrhythmiasEEG and Brain-Computer Interfaces