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. MS-ECG-FM: Towards a More Universal Electrocardiogram Foundation Model for Health Monitoring using Multi-source Contrastive Learning

    Oct 6, 2026Robert A. Lewis, I-Min Chiu, Kyle Verrier +7Electrocardiogram Foundation ModelsElectrocardiogram Classification

    Massachusetts Institute of Technology (work done while at Apple). · Apple, Inc. · Division of Cardiology, Johns Hopkins Medicine. +1

  2. Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6

    Oct 5, 2026Guilherme Silva, Pedro Silva, Gladston Moreira +1Prototype-Based LearningOn-Device Training

    Computing Department, Universidade Federal de São João del-Rei – São João del-Rei, Brazil · Computing Department, Federal University of Ouro Preto – Ouro Preto, Brazil

  3. Robust Transfer Learning for Paper ECG Recognition

    Sep 30, 2026Yinghao Xie, Zhenbang Dai, Haojun Wang +6Contrastive LearningElectrocardiography

    Uppsala University, Sweden · Nanjing Medical University, China · The First Affiliated Hospital with Nanjing Medical University, China

  4. TRACE: Expert-Aligned ECG Representation Learning with Rigorous Benchmarking and Real-World Validation in Acute Cardiac Care

    Sep 28, 2026Lovely Yeswanth Panchumarthi, Andrew Lu, Saurabh Kataria +11Representation LearningCross-Modal Representation Learning

    Department of Computer Science, Emory University, GA, USA · School of Nursing, Emory University, GA, USA · Institute for Medical Engineering and Science, Massachusetts Institute of Technology, MA, USA +3

  5. A Hybrid CNN--State-Space--Attention Backbone with Joint-Embedding Predictive Pretraining for 12-Lead ECG Classification

    Sep 24, 2026Yakoub Bazi, Sarah Aljuhani, Mohamad M. Al Rahhal +2ElectrocardiographySelf-Supervised Time Series Representation Learning

    Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh, 11543, Saudi Arabia · Applied Computer Science Department, College of Applied Computer Science, King Saud University, Riyadh, 11543, Saudi Arabia

  6. The Entropy Triangle Method (ETM): A novel framework for the prevention of cardiac arrhythmia with a review of more than 10,000 patients

    Sep 24, 2026Arman daliriClass-Imbalanced LearningElectrocardiography

    Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran

  7. TRACE: Tractable Routing Autoencoder for Clinical ECG

    Sep 20, 2026Shunbo Jia, Runze Ma, Haonan Lyu +3Concept Bottleneck ModelsAutoencoders

    Department of Bioelectronics, Faculty of Biomedical Engineering, Shenzhen University of Advanced Technology, Shenzhen, 518107, China · Faculty of Information Technology, Monash University, Clayton, Victoria, 3800, Australia · Faculty of Science, University of Queensland, Brisbane, 4072, Australia +1

  8. On the role of the tokenizer in ECG transformer models

    Sep 14, 2026Jiawei Li, Fabio Bonassi, Johan Sundström +2Electrocardiogram ClassificationTime Series Transformers

    Uppsala University, Uppsala, Sweden · Scilifelab, Uppsala, Sweden

  9. Bridging the Gap in ECG-Based Emotion Recognition: A Unified Evaluation of Deep Learning Models

    Sep 14, 2026Timothy C Sweeney-Fanelli, Ajan Ahmed, Masudul ImtiazElectrocardiogram ClassificationEmotion Recognition

    Clarkson University, USA · Affects AI LLC, USA

  10. Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU

    Sep 8, 2026Athanasios Papastathopoulos-Katsaros, Alexandra Stavrianidi, Zhandong LiuElectrocardiogram ClassificationPhysics-Informed ML

    Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA · Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA · Institute for Analysis and Numerics, University of Münster, Germany +1

  11. Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings

    Sep 8, 2026Laura Alvarez-Florez, Daniel Uyterlinde, Samuel Ruipérez-Campillo +3Cross-Modal Representation LearningMedical Diagnosis

    Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, The Netherlands · Quantitative Healthcare Analysis Group, University of Amsterdam, The2026 Netherlands · Department of Clinical and Experimental Cardiology, Amsterdam University Medical Center, The Netherlands +2

  12. Beat-Synchronous Tokenization for ECG Transformers

    Aug 31, 2026Ahmed Sameh, Nolan Wilson, Max Enderlein +1ElectrocardiographyElectrocardiogram Classification

    Computer Science & Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.

  13. Evaluator-Dependent Patient-Adaptive ECG Lead-Channel Allocation

    Aug 27, 2026Xiaoyang Li, Zeyan TaoElectrocardiographyPolicy Evaluation

    College of Medicine and Biological Information Engineering Northeastern University, Shenyang, China

  14. The Impact of Temporal Context Length and Encoding Strategies on Self-Supervised ECG Representation Learning

    Aug 13, 2026Ahmed Sameh, Ramzi Al-Sharawi, Yogatheesan VaratharajahSelf-Supervised Time Series Representation LearningElectrocardiogram Foundation Models

    Computer Science & Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455. · Robotics, University of Minnesota Twin Cities, Minneapolis, MN 55455.

  15. Diagnosing as Cardiologists Do: ECG Agents with Doctor-Grounded Priors for Clinical Reasoning Across Diseases and Populations

    Aug 10, 2026Hongxiang Gao, He-yang Xu, Yuwen Li +6ElectrocardiographyElectrocardiogram Classification

    State Key Laboratory of Digital Medical Engineering, Southeast University · School of Instrument Science and Engineering, Southeast University

  16. LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics

    Aug 4, 2026Edoardo Coppola, Stefano Fiorini, Pietro Liò +2ElectrocardiographyElectrocardiogram Foundation Models

    Department of Computer Science and Technology, University of Cambridge · Independent Researcher · Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia

  17. ConformalShift: Targeted Event Reordering Against Adaptive ECG Monitoring

    Aug 4, 2026Arash Vashagh, Yasmin VashaghAdversarial AttacksElectrocardiography

    Faculty of Computer Science, University of New Brunswick, Fredericton, New Brunswick E3B 5A3, Canada · Farzanegan Amin 2 High School, Isfahan, Iran

  18. FOUND-AF: Benchmarking ECG Foundation Models for Atrial Fibrillation Detection

    Aug 4, 2026Amirhossein Taleshinosrati, Yangyang Wang, Atitaya Phoemsuk +5Electrocardiogram Foundation ModelsElectrocardiogram Classification

    SDU Health Informatics and Technology University of Southern Denmark Odense, 5230, Denmark · Department of Computer Science University of Helsinki Helsinki, 00100, Finland · School of Computer Science and Electronic Engineering University of Essex Colchester, CO4 3SQ, UK +1

  19. Analysis of the Shortcut Learning and Clever Hans Effect in CNN based ECG Image Classification

    Jul 27, 2026Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari Gupta +1Electrocardiogram ClassificationConvolutional Neural Networks

    Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India. · University of Petroleum and Energy Studies, Dehradun, India. · Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Gjøvik, Norway.

  20. EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings

    Jul 27, 2026Xiaocheng Fang, Jieyi Cai, Guangkun Nie +9Long-Tailed ClassificationCross-Modal Alignment

    School of Intelligence Science and Technology, Peking University Beijing, China · State Key Laboratory of General Artificial Intelligence, Peking University · University of the Chinese Academy of Sciences Beijing, China +2

  21. Failures Reveal What Metrics Miss: An Evidence-Driven Agent for Recursive Refinement of ECG Classifiers

    Jul 27, 2026Jinliang Deng, Yiming Niu, Yibo Pan +3LLM Self-RefinementElectrocardiogram Classification

    School of Computer Science and Engineering, Beihang University, Beijing, China · School of Artificial Intelligence, Beihang University, Beijing, China · School of Economics and Business Administration, Chongqing University, Chongqing, China +1

  22. Beyond Local Inspection: Global, Guideline-Grounded Evaluation of Post-hoc XAI Methods for ECG Classification

    Jul 27, 2026Nils Gumpfer, Michael Guckert, Samuel Sossalla +2Feature AttributionExplainable Artificial Intelligence

    Hessian Center for Artificial Intelligence (hessian.AI), Darmstadt, Germany · Technische Hochschule Mittelhessen, University of Applied Sciences, Friedberg (Hesse), Germany · Department of Internal Medicine I, Cardiology, Justus-Liebig-University Giessen, Giessen, Germany

  23. Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction

    Jul 26, 2026Jie Lin, Weijie Sun, Sunil V. Kalmady +4ElectrocardiographyClinical Outcome Prediction

    Department of Information Management, National Taiwan University, Taiwan · Department of Computing Science, University of Alberta, Canada · Canadian VIGOUR Center, University of Alberta, Canada +2

  24. Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs

    Jul 23, 2026Hai-Nam Duy Vuong, Duy-Anh Bui, Trong-Nghia Nguyen +5Multimodal GroundingMedical Report Generation

    Business AI Lab, College of Technology, National Economics University, Vietnam · FPT University, Hanoi, Vietnam · A2I Lab, Phenikaa School of Computing, Phenikaa University, Hanoi, Vietnam +2

  25. Knowledge-Guided Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Label-Conditioned Contrastive Alignment

    Jul 17, 2026Xinran Liu, Yuwen Li, Hongxiang Gao +4ElectrocardiographyCross-Modal Alignment

    School of Instrument Science and Engineering, Southeast University, Nanjing, 210096, China · Nanjing Medical University, Nanjing, 211166, China · Zhengzhou University, Zhengzhou, 450001, China

  26. Toward Energy-Efficient and Low-Power Arrhythmia Detection for Wearable Devices

    Jul 16, 2026Floriaan Bulten, Yawar Rasheed, Arlene John +2Energy-Efficient MLElectrocardiogram Classification

    Computer Architecture for Embedded Systems, University of Twente, The Netherlands · Biomedical Signals and Systems, University of Twente, The Netherlands · Faculty of Science, Computer Science, Vrije Universiteit Amsterdam, The Netherlands

  27. Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis

    Jul 16, 2026Jin Dai, Qiuzhen Zhang, Chenyun Dai +2Class-Imbalanced LearningMulti-Label Classification

    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China · Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, 201619, China

  28. LSTrans: Efficient Knowledge Transfer for Lightweight and Automated ECG Classification

    Jul 12, 2026Yi Zhao, Jiajun Gao, Chenyang Xu +2Efficient Neural Network InferenceHybrid CNN-Transformer Architectures

    School of Mechano-Electronic Engineering · Xidian University · Xi’an, China +5

  29. ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening

    Jul 8, 2026Shreyasvi Natraj, Cyrus Achtari, Felice Gragnano +3ElectrocardiographyElectrocardiogram Classification

    Spinal Cord and Artificial Intelligence (SCAI) Lab, ETH Zürich, Zürich, Switzerland · Swiss Paraplegic Research, Nottwil, Luzern, Switzerland · Department of Translational Medical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy +1

  30. Dual Attention Heads for Personalized Federated Learning in ECG Classification

    Jul 7, 2026Kien Le, Joseph Lindley, Quoc Bao Phan +1TransformerElectrocardiogram Classification

    Computer Science College of Arts and Sciences Florida State University Tallahassee, FL 32310, USA · Chemical & Biomedical Engineering FAMU-FSU College of Engineering Florida State University Tallahassee, FL 32310, USA · Electrical & Computer Engineering FAMU-FSU College of Engineering Florida State University Tallahassee, FL 32310, USA

  31. 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

  32. 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

  33. 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

  34. 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.

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

  51. 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.

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

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

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

    University of Georgia

  59. 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

  60. 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