Electrocardiogram Classification

Also known as ECG

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9 papers in the last four weeks, up 125% on the four weeks before. 0.1% of all new papers.

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  1. Do ECG Foundation Models Transfer to Rare Cardiac Diseases? Evidence from Brugada Syndrome Detection

    Jul 3, 2026Beatrice Zanchi, Giuliana Monachino, Alvise Dei Rossi +4Domain GeneralizationElectrocardiogram Foundation Models

    University of Applied Sciences and Arts of Southern Switzerland, Department of Innovative Technologies, Via La Santa 1, Lugano, 6900, Ticino, Switzerland · University of Zurich, Department of Quantitative Biomedicine, Winterthurerstrasse 190, Zurich, 8057, Zurich, Switzerland · Neurocenter of Southern Switzerland, Ente Ospedaliero Cantonale, Movement Disorder Research Group, Neurology Department, Via Tesserete 46, Lugano, 6900, Ticino, Switzerland +5

  2. Separating Expert Retention from Autonomous Source Inference in Raw-ECG-Replay-Free Continual ECG Deployment

    Jul 2, 2026Yufan Lu, Xinhui Liu, Chenyang Xu +2Continual LearningDomain Generalization

    Xidian University, China · Department of Computer Science, Tianjin University of Technology, China · DCST, BNRist, RIIT, Institute of Internet Industry, Tsinghua University, China

  3. Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

    Jul 1, 2026Wenting Ma, Zhipeng Zhang, Xiaohang Yuan +6ElectrocardiographyElectrocardiogram Classification

    China Mobile Research Institute, Beijing, China · China Mobile GBA (Greater Bay Area) Innovation Institute, Guangzhou, China · Beijing Jiaotong University, Beijing, China +2

  4. Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations

    Jun 22, 2026Yasantha Niroshana, Weijith Wimalasiri, Chathuranga HettiarachchiContrastive LearningRepresentation Learning

    Department of Computer Science, University of Moratuwa, Sri Lanka.

  5. Physiology-Aware CNN and Zero-Shot Multimodal LLMs for ECG Image Classification: A Comparative Study

    Jun 22, 2026Khalil Ahammad, Derek Abbott, Mohsen DorrakiElectrocardiographyMultimodal Large Language Models

    School of Computer Science and Information Technology, Adelaide University, SA 5005, Australia · Australian Institute for Machine Learning (AIML), Adelaide, Australia · Pi MedTech, Adelaide, Australia +1

  6. MedTS-TTT: Test-Time Training for Medical Time Series Classification

    Jun 19, 2026Mingzhi Chen, Yiyu Gui, Guibo LuoTime Series ClassificationElectrocardiogram Classification

    Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School, Peking University, Shenzhen, China

  7. SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models

    Jun 18, 2026Feng Wu, Harsh Deep, Eric Lehman +5ElectrocardiographySelf-Supervised Time Series Representation Learning

    Massachusetts Institute of Technology · OpenEvidence, USA · New York University +3

  8. ECG-LDC: A Hardware-Efficient Low-Dimensional Computing Framework for ECG Arrhythmia Classification

    Jun 13, 2026Anh Tran, Khanh Tran, Cuong DoEfficient Neural Network InferenceElectrocardiogram Classification

    School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, USA · VinUni–Illinois Smart Health Center, VinUniversity, Hanoi 100000, Vietnam · College of Engineering and Computer Science, VinUniversity, Hanoi 100000, Vietnam

  9. Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification

    Jun 10, 2026Veerendhra Kumar Dangeti, Xiao Gu, Ying Weng +1Time Series ClassificationTraining Data Selection

    School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, United Kingdom · Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, United Kingdom · School of Computer Science, University of Nottingham Ningbo China, Ningbo, 315100, China

  10. Privacy-Preserving Federated Autoencoder for ECG Anomaly Detection on Edge Devices

    Jun 10, 2026Kaan Arda Akyol, Jakub Kacper Szeląg, Aydin Abadi +9Electrocardiogram ClassificationReconstruction-Based Anomaly Detection

    School of Computing, Newcastle University, Newcastle upon Tyne, United Kingdom

  11. Boosting ECG Classification Performance by Pre-training with Synthesized Data

    Jun 9, 2026Naoki Nonaka, Jun SeitaSynthetic Data PretrainingSynthetic-to-Real Domain Adaptation

    Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters

  12. SafeECGMatch: Calibration-Aware Joint Frequency and Time Space Semi-Supervised Learning for Open-Set ECG Classification

    Jun 6, 2026Hongkyu Koh, Ikbeom JangProbability CalibrationOpen-Set Recognition

    Hankuk University of Foreign Studies · Yongin, Republic of Korea

  13. MSAIC-Net: A Multi-Scale Attention and Imbalance-Aware Contrastive Network for ECG-Based Myocardial Substrate Abnormality Detection

    Jun 4, 2026Canyu Lei, Fenglin Zhang, Derek Bivona +5Class-Imbalanced LearningElectrocardiogram Classification

  14. ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

    Jun 2, 2026Sotirios Vavaroutas, Yu Yvonne Wu, Ali Etemad +1Distribution Shift RobustnessUnsupervised Domain Adaptation

    University of Cambridge, UK · Dartmouth College, USA · Queen’s University, Canada

  15. ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems

    Jun 1, 2026Nagarajan S, Kurian PolachanElectrocardiogram ClassificationReconstruction-Based Anomaly Detection

    International Institute of Information Technology, Bangalore, India

  16. EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation

    May 28, 2026Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu PhamEfficient Neural Network InferenceElectrocardiogram Foundation Models

    Hanoi University of Science and Technology, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam +1

  17. Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals

    May 26, 2026Phu X. Nguyen, Konstantinos Kontras, Wei Dai +5Representation LearningCross-Modal Representation Learning

    1KU Leuven · 3MIT · 4DFKI +1

  18. Motif-based morphology signatures for interpretable ECG screening and monitoring

    May 26, 2026Nivedita Bijlani, Mauricio VillarroelElectrocardiographyElectrocardiogram Classification

    The Podium Institute for Sports Medicine and Technology University of Oxford Oxford, UK

  19. A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography

    May 25, 2026Ziqing Yu, Yuhui Tao, Jiayu Huo +19ElectrocardiographyElectrocardiogram Foundation Models

    Department of Cardiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Cardiovascular Diseases, National Clinical Research Centre for Interventional Medicine, Shanghai, China · Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China. · Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, 200032, China. +8

  20. Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification

    May 23, 2026Nikola Cenikj, Özgün Turgut, Alexander Müller +5Medical ImagingCoronary Angiography

    Chair for AI in Healthcare and Medicine, Technical University of Munich and TUM University Hospital, Munich, Germany · Department of Internal Medicine, TUM University Hospital, Munich, Germany · Department of Computing, Imperial College London, UK

  21. HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection

    May 23, 2026Shubham Gupta, Nikhil Panwar, Partha Pratim RoyElectrocardiographyDomain Generalization

    Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, Jharkhand, India. · Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.

  22. Associations between echocardiographic traits and AI-ECG predictions of heart failure

    May 23, 2026Elias Stenhede, Eivind Bjørkan Orstad, Torbjørn Omland +2ElectrocardiographyEchocardiography

    Medical Technology & E-Health, Akershus University Hospital, 1478 Lørenskog, Norway · Faculty of Medicine, University of Oslo, 0372 Oslo, Norway · Department of Cardiology, Akershus University Hospital, 1478 Lørenskog, Norway +1

  23. Uncertainty-aware classification and triage of structural heart disease using electrocardiography and echocardiography metrics

    May 21, 2026Mitchel J. ColebankBayesian Neural NetworksUncertainty Quantification

    Department of Mathematics, University of South Carolina,, Columbia, 29208, South Carolina, USA

  24. CLIC: Contextual Language-Informed Cardiac Pathology Classification

    May 18, 2026Giovani D. Lucafo, Rafael da Costa Silva, João Lucas Luz Lima Sarcinelli +2Electrocardiogram ClassificationMultimodal Learning

    Institute of Mathematical and Computer Sciences Universidade de S˜ao Paulo S˜ao Carlos, S˜ao Paulo, Brazil

  25. HexagonalWarriorMamba: Superior Threshold-Dependent Multi-label Classification of 12-Lead ECG Cardiac Abnormalities

    May 18, 2026Huawei Jiang, Husna Mutahira, Shibo Wei +6MambaMulti-Label Classification

    Sungkyunkwan University, Department of Computer Science and Engineering, Suwon, 16419, South Korea · Sogang University, Department of Computer Science and Engineering, Seoul, 04104, South Korea · Gwangju Institute of Science and Technology, Department of Biomedical Science and Engineering, Gwangju, 61005, South Korea +4

  26. Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification

    May 17, 2026Yang Wu, Xiaoyan Yuan, Hau-San Wong +1RL for Language Model ReasoningElectrocardiogram Classification

    1City University of Hong Kong · 2Beijing Institute of Technology · 3Shenzhen MSU-BIT University

  27. Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables

    May 15, 2026Hangyu WuHierarchical Federated LearningCommunication-Efficient Distributed Training

    Shenzhen Coddie Technology co.,ltd, Shenzhen, 518000, China

  28. DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition

    May 15, 2026Jiahui Li, Ruili Fang, Zishuai Liu +3ElectrocardiographyMultimodal Classification

    University of Georgia

  29. BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring

    May 14, 2026Zixuan Shu, Tiancheng Cao, Hen-Wei HuangLong-Tail LearningCommunication-Efficient Distributed Training

    School of Electrical and Electronic Engineering, Nanyang Technological University, Republic of Singapore · Lee Kong Chian School of Medicine, Nanyang Technological University, Republic of Singapore

  30. ECG-NAT: A Self-supervised Neighborhood Attention Transformer for Multi-lead Electrocardiogram Classification

    May 13, 2026Mahsa Gazeran, Sayvan Soleymanbaigi, Fatemeh Daneshfar +2Self-Supervised Time Series Representation LearningTransformer Attention

    Department of Computer Engineering, University of Kurdistan, Sanandaj, Iran · Department of Mathematics and Operational Research, University of Mons, Mons, Belgium