SOTAVerified

Electrocardiography (ECG)

Papers

Showing 125 of 117 papers

TitleStatusHype
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of ElectrocardiogramCode2
Interpretable Pre-Trained Transformers for Heart Time-Series DataCode2
Investigating Deep Learning Benchmarks for Electrocardiography Signal ProcessingCode2
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series ClassificationCode2
Towards Domain Generalization for ECG and EEG Classification: Algorithms and BenchmarksCode1
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG ModelingCode1
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural NetworksCode1
Diffusion-Based Electrocardiography Noise Quantification via Anomaly DetectionCode1
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive ArchitectureCode1
Self-supervised representation learning from 12-lead ECG dataCode1
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
Blind ECG Restoration by Operational Cycle-GANsCode1
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG SignalsCode1
Cardiologist-Level Arrhythmia Detection with Convolutional Neural NetworksCode1
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG ClassificationCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksCode1
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases DetectionCode1
ECG arrhythmia classification using a 2-D convolutional neural networkCode1
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series ClassificationCode1
Translating Electrocardiograms to Cardiac Magnetic Resonance Imaging Useful for Cardiac Assessment and Disease Screening: A Multi-Center Study AI for ECG to CMR Translation StudyCode1
A convolutional neural network approach to detect congestive heart failure0
AI Aided Noise Processing of Spintronic Based IoT Sensor for Magnetocardiography Application0
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals0
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