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Electrocardiography (ECG)

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Showing 1–50 of 117 papers

TitleStatusHype
Interpretable Pre-Trained Transformers for Heart Time-Series DataCode2
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series ClassificationCode2
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of ElectrocardiogramCode2
Investigating Deep Learning Benchmarks for Electrocardiography Signal ProcessingCode2
Diffusion-Based Electrocardiography Noise Quantification via Anomaly DetectionCode1
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
Learning General Representation of 12-Lead Electrocardiogram with a Joint-Embedding Predictive ArchitectureCode1
CE-SSL: Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases DetectionCode1
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG SignalsCode1
Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG TranslationCode1
Towards Domain Generalization for ECG and EEG Classification: Algorithms and BenchmarksCode1
Blind ECG Restoration by Operational Cycle-GANsCode1
ECG-Based Heart Arrhythmia Diagnosis Through Attentional Convolutional Neural NetworksCode1
Patient Contrastive Learning: a Performant, Expressive, and Practical Approach to ECG ModelingCode1
Self-supervised representation learning from 12-lead ECG dataCode1
Anomaly Detection in Time Series with Triadic Motif Fields and Application in Atrial Fibrillation ECG ClassificationCode1
A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG ClassificationCode1
VFPred: A Fusion of Signal Processing and Machine Learning techniques in Detecting Ventricular Fibrillation from ECG SignalsCode1
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural NetworksCode1
ECG arrhythmia classification using a 2-D convolutional neural networkCode1
Cardiologist-Level Arrhythmia Detection with Convolutional Neural NetworksCode1
Cross-Learning Between ECG and PCG: Exploring Common and Exclusive Characteristics of Bimodal Electromechanical Cardiac Waveforms—0
Q-Heart: ECG Question Answering via Knowledge-Informed Multimodal LLMs—0
Advancing Remote and Continuous Cardiovascular Patient Monitoring through a Novel and Resource-efficient IoT-Driven Framework—0
Mitigating Adversarial Attacks on ECG Classification in Federated Learning via Adversarial TrainingCode0
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification—0
Are ECGs enough? Deep learning classification of cardiac anomalies using only electrocardiogramsCode0
Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation—0
Mamba-based Deep Learning Approaches for Sleep Staging on a Wireless Multimodal Wearable System without Electroencephalography—0
Segmentation-based Extraction of Key Components from ECG Images: A Framework for Precise Classification and Digitization—0
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approachCode0
Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis—0
Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test—0
Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics—0
Flexible framework for generating synthetic electrocardiograms and photoplethysmogramsCode0
Early ECG Warning for Chagas Patients: Implementation of TinyML for Low-Resource Areas in Peru—0
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Models—0
CLARE: Cognitive Load Assessment in REaltime with Multimodal Data—0
TransfoRhythm: A Transformer Architecture Conductive to Blood Pressure Estimation via Solo PPG Signal Capturing—0
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital—0
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review—0
MELEP: A Novel Predictive Measure of Transferability in Multi-Label ECG DiagnosisCode0
PPG-to-ECG Signal Translation for Continuous Atrial Fibrillation Detection via Attention-based Deep State-Space Modeling—0
ECGNet: A generative adversarial network (GAN) approach to the synthesis of 12-lead ECG signals from single lead inputs—0
Comparison of HRV Indices of ECG and BCG Signals—0
Automated Identication of Atrial Fibrillation from Single-lead ECGs Using Multi-branching ResNet—0
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset Study—0
Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing—0
Predicting Pulmonary Hypertension by Electrocardiograms Using Machine Learning—0
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