Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
Fuente:
arXiv
Saved in:
| Main Authors: | Al-Masud, M A, Strodthoff, Nils |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
by: Al-Masud, M A, et al.
Published: (2025)
by: Al-Masud, M A, et al.
Published: (2025)
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
by: Wang, Fuying, et al.
Published: (2025)
by: Wang, Fuying, et al.
Published: (2025)
AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026)
by: Li, Jun, et al.
Published: (2026)
TolerantECG: A Foundation Model for Imperfect Electrocardiogram
by: Nguyen, Huynh Dang, et al.
Published: (2025)
by: Nguyen, Huynh Dang, et al.
Published: (2025)
AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions -- An Explorative Study in Emergency Care
by: Strodthoff, Nils, et al.
Published: (2023)
by: Strodthoff, Nils, et al.
Published: (2023)
Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery
by: Wagner, Patrick, et al.
Published: (2023)
by: Wagner, Patrick, et al.
Published: (2023)
Self-DANA: A Resource-Efficient Channel-Adaptive Self-Supervised Approach for ECG Foundation Models
by: Monachino, Giuliana, et al.
Published: (2025)
by: Monachino, Giuliana, et al.
Published: (2025)
ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction
by: Riek, Nathan T., et al.
Published: (2024)
by: Riek, Nathan T., et al.
Published: (2024)
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)
by: Tóth, Bálint, et al.
Published: (2025)
Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
by: Lee, Gabriel Jason, et al.
Published: (2026)
by: Lee, Gabriel Jason, et al.
Published: (2026)
ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text
by: Yu, Han, et al.
Published: (2024)
by: Yu, Han, et al.
Published: (2024)
Cardioformer: Advancing AI in ECG Analysis with Multi-Granularity Patching and ResNet
by: Mobin, Md Kamrujjaman, et al.
Published: (2025)
by: Mobin, Md Kamrujjaman, 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)
by: Zhang, Deyun, et al.
Published: (2025)
S2M2ECG: Spatio-temporal bi-directional State Space Model Enabled Multi-branch Mamba for ECG
by: Zhang, Huaicheng, et al.
Published: (2025)
by: Zhang, Huaicheng, et al.
Published: (2025)
EcoScaleNet: A Lightweight Multi Kernel Network for Long Sequence 12 lead ECG Classification
by: Kang, Dong-Hyeon, et al.
Published: (2025)
by: Kang, Dong-Hyeon, et al.
Published: (2025)
Evaluation of Deep Learning Models for LBBB Classification in ECG Signals
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)
by: Ordóñez, Beatriz Macas, et al.
Published: (2025)
xLSTM-ECG: Multi-label ECG Classification via Feature Fusion with xLSTM
by: Kang, Lei, et al.
Published: (2025)
by: Kang, Lei, et al.
Published: (2025)
Sensing Cardiac Health Across Scenarios and Devices: A Multi-Modal Foundation Model Pretrained on Heterogeneous Data from 1.7 Million Individuals
by: Gu, Xiao, et al.
Published: (2025)
by: Gu, Xiao, et al.
Published: (2025)
ECG-SleepNet: Deep Learning-Based Comprehensive Sleep Stage Classification Using ECG Signals
by: Aghaomidi, Poorya, et al.
Published: (2024)
by: Aghaomidi, Poorya, et al.
Published: (2024)
Assessing the importance of long-range correlations for deep-learning-based sleep staging
by: Wang, Tiezhi, et al.
Published: (2024)
by: Wang, Tiezhi, et al.
Published: (2024)
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
by: Wang, Tiezhi, et al.
Published: (2023)
by: Wang, Tiezhi, et al.
Published: (2023)
Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI
by: Zvuloni, Eran, et al.
Published: (2025)
by: Zvuloni, Eran, et al.
Published: (2025)
AmpliNetECG12: A lightweight SoftMax-based relativistic amplitude amplification architecture for 12 lead ECG classification
by: Srivastava, Shreya
Published: (2024)
by: Srivastava, Shreya
Published: (2024)
PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection
by: Fang, Xiaocheng, et al.
Published: (2025)
by: Fang, Xiaocheng, et al.
Published: (2025)
Multi-Channel Masked Autoencoder and Comprehensive Evaluations for Reconstructing 12-Lead ECG from Arbitrary Single-Lead ECG
by: Chen, Jiarong, et al.
Published: (2024)
by: Chen, Jiarong, et al.
Published: (2024)
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
by: Shi, Enze, et al.
Published: (2024)
by: Shi, Enze, et al.
Published: (2024)
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
by: Moulaeifard, Mohammad, et al.
Published: (2025)
by: Moulaeifard, Mohammad, et al.
Published: (2025)
ECGformer: Leveraging transformer for ECG heartbeat arrhythmia classification
by: Akan, Taymaz, et al.
Published: (2024)
by: Akan, Taymaz, et al.
Published: (2024)
Cardi-GPT: An Expert ECG-Record Processing Chatbot
by: Mallick, Koustav, et al.
Published: (2025)
by: Mallick, Koustav, et al.
Published: (2025)
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
by: Baig, Zuraiz, et al.
Published: (2025)
by: Baig, Zuraiz, et al.
Published: (2025)
Motif-based morphology signatures for interpretable ECG screening and monitoring
by: Bijlani, Nivedita, et al.
Published: (2026)
by: Bijlani, Nivedita, et al.
Published: (2026)
Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
by: Apostol, Andrei, et al.
Published: (2025)
by: Apostol, Andrei, et al.
Published: (2025)
Personalized Heart Disease Detection via ECG Digital Twin Generation
by: Hu, Yaojun, et al.
Published: (2024)
by: Hu, Yaojun, et al.
Published: (2024)
Masked Autoencoders that Feel the Heart: Unveiling Simplicity Bias for ECG Analyses
by: Xu, He-Yang, et al.
Published: (2025)
by: Xu, He-Yang, et al.
Published: (2025)
Fine-grained Contrastive Learning for ECG-Report Alignment with Waveform Enhancement
by: Li, Haitao, et al.
Published: (2025)
by: Li, Haitao, et al.
Published: (2025)
CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
by: Alcaraz, Juan Miguel Lopez, et al.
Published: (2024)
CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains
by: Song, Junho, et al.
Published: (2024)
by: Song, Junho, et al.
Published: (2024)
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
by: Kweon, Young-Seok, et al.
Published: (2025)
by: Kweon, Young-Seok, et al.
Published: (2025)
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection
by: Soltanieh, Sahar, et al.
Published: (2023)
by: Soltanieh, Sahar, et al.
Published: (2023)
Similar Items
-
Benchmarking ECG FMs: A Reality Check Across Clinical Tasks
by: Al-Masud, M A, et al.
Published: (2025) -
From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining
by: Wang, Fuying, et al.
Published: (2025) -
AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling
by: Li, Jun, et al.
Published: (2026) -
TolerantECG: A Foundation Model for Imperfect Electrocardiogram
by: Nguyen, Huynh Dang, et al.
Published: (2025) -
AnyECG: Foundational Models for Multitask Cardiac Analysis in Real-World Settings
by: Wang, Yue, et al.
Published: (2024)