Cover Image

Bayesian ECG reconstruction using denoising diffusion generative models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cardoso, Gabriel V., Bedin, Lisa, Duchateau, Josselin, Dubois, Rémi, Moulines, Eric
Format:	Preprint
Published:	2023
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep learning model for ECG reconstruction reveals the information content of ECG leads
by: Gradowski, Tomasz, et al.
Published: (2025)

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
by: Skorik, Sergey, et al.
Published: (2024)

Joint Channel Selection using FedDRL in V2X
by: Mancini, Lorenzo, et al.
Published: (2024)

f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis
by: Kong, Nathan C. L., et al.
Published: (2024)

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
by: Wang, Ziyu, et al.
Published: (2025)

EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network
by: Wang, Bin, et al.
Published: (2024)

ECG Unveiled: Analysis of Client Re-identification Risks in Real-World ECG Datasets
by: Wang, Ziyu, et al.
Published: (2024)

ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition
by: Mansourian, Nastaran, et al.
Published: (2025)

Optimizing Neural Network Scale for ECG Classification
by: Lee, Byeong Tak, et al.
Published: (2023)

Self-Trained Model for ECG Complex Delineation
by: Avetisyan, Aram, et al.
Published: (2024)

Generating Realistic Multi-Beat ECG Signals
by: Pöhl, Paul, et al.
Published: (2025)

DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
by: You, Siyu, et al.
Published: (2025)

In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders
by: Occhipinti, Edoardo, et al.
Published: (2024)

Exploring Best Practices for ECG Pre-Processing in Machine Learning
by: Salimi, Amir, et al.
Published: (2023)

Deep learning based ECG segmentation for delineation of diverse arrhythmias
by: Joung, Chankyu, et al.
Published: (2023)

Uncertainty-Aware Multi-view Arrhythmia Classification from ECG
by: Ashhad, Mohd, et al.
Published: (2025)

Comparison of Autoencoder Encodings for ECG Representation in Downstream Prediction Tasks
by: Harvey, Christopher J., et al.
Published: (2024)

Learning ECG Representations via Poly-Window Contrastive Learning
by: Yuan, Yi, et al.
Published: (2025)

Comparative Analysis of Data Augmentation for Clinical ECG Classification with STAR
by: Nemati, Nader
Published: (2025)

MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution
by: Lin, Jie, et al.
Published: (2024)

Time topological analysis of EEG using signature theory
by: Chrétien, Stéphane, et al.
Published: (2024)

ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers
by: Zhu, Ding, et al.
Published: (2024)

Enhancing AI-Based ECG Delineation with Deep Learning Denoising Techniques
by: Breeding-Allison, Jeff, et al.
Published: (2026)

EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection
by: Park, JuneYoung, et al.
Published: (2024)

Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
by: Al-Masud, M A, et al.
Published: (2025)

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)

ECG-CL: A Comprehensive Electrocardiogram Interpretation Method Based on Continual Learning
by: Gao, Hongxiang, et al.
Published: (2023)

Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
by: Wagner, Patrick, et al.
Published: (2023)

ECGXtract: Deep Learning-based ECG Feature Extraction for Automated CVD Diagnosis
by: Abuzied, Youssif, et al.
Published: (2025)

A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
by: Huang, Wei, et al.
Published: (2024)

An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals
by: Chopannavaz, Mohammad Reza, et al.
Published: (2025)

CODE-II: A large-scale dataset for artificial intelligence in ECG analysis
by: Abreu, Petrus E. O. G. B., et al.
Published: (2025)

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
by: Xie, Donglin, et al.
Published: (2026)

Mitigating data replication in text-to-audio generative diffusion models through anti-memorization guidance
by: Messina, Francisco, et al.
Published: (2025)

Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
by: Gnassounou, Théo, et al.
Published: (2024)

Classifier-guided neural blind deconvolution: a physics-informed denoising module for bearing fault diagnosis under heavy noise
by: Liao, Jing-Xiao, et al.
Published: (2024)

RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG
by: Ben-Moshe, Noam, et al.
Published: (2023)

Explainable Deep Neural Network for Multimodal ECG Signals: Intermediate vs Late Fusion
by: Oladunni, Timothy, et al.
Published: (2025)

CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
by: Jia, Shunbo, et al.
Published: (2025)

Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
by: Meng, Zeyuan, et al.
Published: (2025)