Cover Image

RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ben-Moshe, Noam, Tsutsui, Kenta, Biton, Shany, Sörnmo, Leif, Behar, Joachim A.
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

Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI
by: Zvuloni, Eran, et al.
Published: (2025)

Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
by: Mahmuod, Arjan, et al.
Published: (2026)

SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
by: Tsutsui, Kenta, et al.
Published: (2024)

Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation
by: Santos, Diogo Reis, et al.
Published: (2024)

Using Test-Time Data Augmentation for Cross-Domain Atrial Fibrillation Detection from ECG Signals
by: Soleimani, Majid, et al.
Published: (2025)

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements
by: Jenkins, Alexander, et al.
Published: (2025)

Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation
by: Atienza, Adrian, et al.
Published: (2025)

Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals
by: Mohan, Aruna, et al.
Published: (2024)

Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network
by: Xie, Tian
Published: (2024)

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

Augmentation of EEG and ECG Time Series for Deep Learning Applications: Integrating Changepoint Detection into the iAAFT Surrogates
by: Moutonnet, Nina, et al.
Published: (2025)

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

Detecting QT prolongation From a Single-lead ECG With Deep Learning
by: Alam, Ridwan, et al.
Published: (2023)

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

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

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

SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals
by: Yan, Runze, et al.
Published: (2024)

ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
by: Riek, Nathan T., et al.
Published: (2024)

ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)

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

Neuro-Informed Adaptive Learning (NIAL) Algorithm: A Hybrid Deep Learning Approach for ECG Signal Classification
by: Rahman, Sowad
Published: (2025)

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

Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)

A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm
by: Lei, Jun, et al.
Published: (2024)

UniPhyNet: A Unified Network For Multimodal Physiological Raw Signal Classification
by: Qiu, Renxiang, et al.
Published: (2025)

ResEMGNet: A Lightweight Residual Deep Learning Architecture for Neuromuscular Disorder Detection from Raw EMG Signals
by: Rahman, Minhajur, et al.
Published: (2023)

ECG-TEM: Time-based sub-Nyquist sampling for ECG signal reconstruction and Hardware Prototype
by: Naaman, Hila, et al.
Published: (2024)

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

PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
by: Fang, Xiaocheng, et al.
Published: (2025)

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

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking
by: Alcaraz, Juan Miguel López, et al.
Published: (2026)

Personalized Heart Disease Detection via ECG Digital Twin Generation
by: Hu, Yaojun, et al.
Published: (2024)

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

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

Personality Trait Recognition using ECG Spectrograms and Deep Learning
by: Altaf, Muhammad Mohsin, et al.
Published: (2024)

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

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

SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography
by: Attia, Shirel, et al.
Published: (2024)

Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
by: Meng, Zeyuan, 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)