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Cardiology Subcategories: Acute Coronary Syndrome Arrhythmias Atherosclerosis Congestive Heart Failure Dyslipidemia Hypertension Metabolic Syndrome Myocardial Infarction PCI Peripheral Artery Disease Prevention Strokes Venous Thrombosis

Showing 1555-1575 of 7,976 articles

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs

Recent advances in multimodal ECG representation learning center on aligning ECG signals with pair...

Feb 2025 http://arxiv.org/abs/2502.17900v1

Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models

In Romania, cardiovascular problems are the leading cause of death, accounting for nearly one-thir...

Feb 2025 http://arxiv.org/abs/2502.17887v1

[The joint analysis of heart health and mental health based on continual learning].

Cardiovascular diseases and psychological disorders represent two major threats to human physical an...

Feb 2025 40000169

[Research on arrhythmia classification algorithm based on adaptive multi-feature fusion network].

Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly i...

Feb 2025 40000175

CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals

This study addresses the challenge of reconstructing unseen ECG signals from PPG signals, a critic...

Feb 2025 http://arxiv.org/abs/2502.17536v1

TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration

Acute Coronary Syndromes (ACS), including ST-segment elevation myocardial infarctions (STEMI) and ...

Feb 2025 http://arxiv.org/abs/2502.17049v2

rECGnition_v2.0: Self-Attentive Canonical Fusion of ECG and Patient Data using deep learning for effective Cardiac Diagnostics

The variability in ECG readings influenced by individual patient characteristics has posed a consi...

Feb 2025 http://arxiv.org/abs/2502.16255v1

Detecting Long QT Syndrome and First-Degree Atrioventricular Block using Single-Lead AI-ECG: A Multi-Center Real-World Study

Home-based single-lead AI-ECG devices have enabled continuous, real-world cardiac monitoring. Howe...

Feb 2025 http://arxiv.org/abs/2502.17499v2

Cardiovascular

Browse Categories

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs

Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models

[The joint analysis of heart health and mental health based on continual learning].

[Research on arrhythmia classification algorithm based on adaptive multi-feature fusion network].

CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals

TabulaTime: A Novel Multimodal Deep Learning Framework for Advancing Acute Coronary Syndrome Prediction through Environmental and Clinical Data Integration

rECGnition_v2.0: Self-Attentive Canonical Fusion of ECG and Patient Data using deep learning for effective Cardiac Diagnostics

Detecting Long QT Syndrome and First-Degree Atrioventricular Block using Single-Lead AI-ECG: A Multi-Center Real-World Study

Cardiac Evidence Backtracking for Eating Behavior Monitoring using Collocative Electrocardiogram Imagining

MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields

Deep learning model for identifying acute heart failure patients using electrocardiography in the emergency room.

Comparing Deep Neural Network for Multi-Label ECG Diagnosis From Scanned ECG

An LLM-Powered Agent for Physiological Data Analysis: A Case Study on PPG-based Heart Rate Estimation

Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes

ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis

DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection

Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model

FADE: Forecasting for Anomaly Detection on ECG

Generation of Drug-Induced Cardiac Reactions towards Virtual Clinical Trials

Multi-scale Masked Autoencoder for Electrocardiogram Anomaly Detection

DE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States

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