Myocardial infarction detection
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Benchmarks
PTB dataset, ECG lead II
Most implemented
ECG Heartbeat Classification: A Deep Transferable Representation
Interpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
Early Myocardial Infarction Detection over Multi-view Echocardiography
Papers
Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG
Myocardial infarction is a critical manifestation of coronary artery disease, yet detecting it from single-lead electrocardiogram (ECG) remains challenging due to limited spatial information. An intuitive idea is to conv…
Myocardial infarction detectionAdvancements in Myocardial Infarction Detection and Classification Using Wearable Devices: A Comprehensive Review
Myocardial infarction (MI), commonly known as a heart attack, is a critical health condition caused by restricted blood flow to the heart. Early-stage detection through continuous ECG monitoring is essential to minimize …
Myocardial infarction detectionRefining Myocardial Infarction Detection: A Novel Multi-Modal Composite Kernel Strategy in One-Class Classification
Early detection of myocardial infarction (MI), a critical condition arising from coronary artery disease (CAD), is vital to prevent further myocardial damage. This study introduces a novel method for early MI detection u…
DiagnosticMyocardial infarction detectionOne-Class ClassificationInterpretable ECG Analysis for Myocardial Infarction Detection through Counterfactuals
In the evolving landscape of ECG signal analysis, the challenge of limited transparency in machine learning models remains a significant barrier to their effective integration into clinical practice. This study addresses…
counterfactualDiagnosticMyocardial infarction detectionSAF-Net: Self-Attention Fusion Network for Myocardial Infarction Detection using Multi-View Echocardiography
Myocardial infarction (MI) is a severe case of coronary artery disease (CAD) and ultimately, its detection is substantial to prevent progressive damage to the myocardium. In this study, we propose a novel view-fusion mod…
Myocardial infarction detectionEnsemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography
Early detection and localization of myocardial infarction (MI) can reduce the severity of cardiac damage through timely treatment interventions. In recent years, deep learning techniques have shown promise for detecting …
Ensemble LearningMyocardial infarction detectionSegmentationSpecificity