Article

Deep Learning Approaches for Electrocardiogram (ECG) Analysis: Challenges and Applications

2024-11-11

Abstract excerpt

In the recent decade, deep learning, a subset of artificial intelligence and machine learning, has gained significant attention for its ability to identify patterns in big healthcare datasets. Public datasets for electrocardiograms (ECGs) have been in use since the 1980s for tasks like arrhythmia, ischemia, and cardiomyopathy detection. Recently, private institutions have curated large ECG databases that are order...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5dac94a4-1336-5682-a8e9-ed21cb403610
DOI: 10.20944/preprints202411.0714.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Approaches for Electrocardiogram (ECG) Analysis: Challenges and ApplicationsDOI 10.20944/preprints202411.0714.v1Read

Machine Learning, Deep Learning, and Hybrid Approaches for ECG-Based Cardiac Arrhythmia Detection: Techniques, Challenges, and Future PerspectivesSemantic proximity Read

AI-Enhanced ECG Intelligence: Optimized Deep Learning Pipelines for Early and Reliable Detection of Cardiac DisordersSemantic proximity Read

A Multi-View Learning Approach to Enhance Automatic 12-Lead ECG Diagnosis PerformanceSemantic proximity Read

Automated Heart Disease Detection Using Swin Transformer and ECG Signal Processing: A High-Accuracy ApproachSemantic proximity Read

Prospective Validation of a Deep Learning Model to Detect Structural Heart Disease from Apple Watch ECGs: The WATCH-SHD StudySemantic proximity Read

A Hybrid Model Combining 1D-CNN and BERT for Intelligent ECG Arrhythmia ClassificationSemantic proximity Read

Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogramSemantic proximity Read

Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational StudySemantic proximity Read

Deep Learning for Heart Sound Analysis: A Literature ReviewSemantic proximity Read

Robustness vs. Efficiency in ECG Classification: A Comparative Study of Deep Learning and Classical Machine Learning ArchitecturesSemantic proximity Read

An Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHDSemantic proximity Read

Advances in Interpretation of Electrocardiogram by Artificial IntelligenceSemantic proximity Read