Cover Image

Generating Realistic Multi-Beat ECG Signals

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pöhl, Paul, Schlegel, Viktor, Li, Hao, Bharath, Anil
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
by: Ibtehaz, Nabil, et al.
Published: (2024)

CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals
by: Li, Xiaoyan, et al.
Published: (2025)

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

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

BiLSTM and Attention-Based Modulation Classification of Realistic Wireless Signals
by: Udaiwal, Rohit, et al.
Published: (2024)

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

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

Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
by: Li, Xiaoyan, et al.
Published: (2025)

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations
by: Zhang, Deyun, et al.
Published: (2025)

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

HeartBERT: A Self-Supervised ECG Embedding Model for Efficient and Effective Medical Signal Analysis
by: Tahery, Saedeh, et al.
Published: (2024)

S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
by: Zhang, Huaicheng, et al.
Published: (2025)

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

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

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

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

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals
by: Thapa, Rahul, et al.
Published: (2024)

ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
by: Rukhsar, Salim, et al.
Published: (2024)

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

Machine Learning-Based Analysis of ECG and PCG Signals for Rheumatic Heart Disease Detection: A Scoping Review (2015-2025)
by: Olatunji, Damilare Emmanuel, et al.
Published: (2025)

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

xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)

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)

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

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

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

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

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

Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
by: Chen, Jiarong, et al.
Published: (2024)

Graph-Based Spatio-temporal Attention and Multi-Scale Fusion for Clinically Interpretable, High-Fidelity Fetal ECG Extraction
by: Wang, Chang, et al.
Published: (2025)

Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation
by: Tóth, Bálint, et al.
Published: (2025)

Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning
by: Shea, Robert O, 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)

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