Electrocardiogram Interpretation

Also known as ECG

Latest papers

34 papers3 papers in the last four weeks, down 40% on the four weeks before. 0.0% of all new papers.

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 Models Electrocardiogram Classification
Massachusetts Institute of Technology (work done while at Apple). · Apple, Inc. · Division of Cardiology, Johns Hopkins Medicine. +1
ECG-Scroll: A Long-Horizon, Streaming Benchmark and Agent Environment for Interpretation of Ambulatory Electrocardiograms
Sep 27, 2026Haitao Li, Chenglin Li, Zhengyao Ding +3Electrocardiogram Interpretation Electrocardiography
Zhejiang University · Shanghai Innovation Institute
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 Learning Electrocardiography
Department of Computer Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
On the role of the tokenizer in ECG transformer models
Sep 14, 2026Jiawei Li, Fabio Bonassi, Johan Sundström +2Electrocardiogram Classification Time Series Transformers
Uppsala University, Uppsala, Sweden · Scilifelab, Uppsala, Sweden
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 Learning Medical 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
Learning from VAE Errors to support ECG-based Differential Diagnosis of Myocardial Scar
Sep 4, 2026Shayan Sharifi, Riccardo Treu, Ilaria Gandin +3Electrocardiogram Interpretation Electrocardiogram Representation Learning
Department of Mathematics, Informatics, and Geosciences, University of Trieste, Italy · Centre of Diagnosis and Management of Cardiomyopathies; Azienda Sanitaria Universitaria Giuliano Isontina; University of Trieste, Italy; Member of Ern Guard-Heart · Department of Medical, Surgical and Health Sciences, University of Trieste, Italy
ECGQuest: Benchmarking and Fine-Tuning Language Models for Electrocardiography
Aug 31, 2026Mohammadsina Hassannia, Matthew A. Reyna, Reza SameniElectrocardiography LLM Fine-Tuning
Department of Biomedical Informatics Emory University Atlanta, GA 30322, USA · Department of Biomedical Engineering Georgia Institute of Technology and Department of Biomedical Informatics Emory University Atlanta, GA 30332, USA
Beat-Synchronous Tokenization for ECG Transformers
Aug 31, 2026Ahmed Sameh, Nolan Wilson, Max Enderlein +1Electrocardiography Electrocardiogram Classification
Computer Science & Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.
Holtercare-Bench: A Multimodal Benchmark for Evaluating Long-Term Dynamic ECG Analysis
Aug 19, 2026Yihan Xie, Hanwen Cui, Runze Ye +8Electrocardiography Electrocardiogram Interpretation
Zhejiang University · Beijing Institute of Technology · University of Electronic Science and Technology of China
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 +6Electrocardiography Electrocardiogram Classification
State Key Laboratory of Digital Medical Engineering, Southeast University · School of Instrument Science and Engineering, Southeast University
ECG-LENS: Lead-Aware Clinical Context Enriched ECG Report Generation and Evaluation
Aug 6, 2026Akanta Das, Tasinul Islam Ahon, Ahmed Mahir Sultan Rumi +3Medical Report Generation Electrocardiography
Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · Samsung Research America, USA · National Health Service, UK
ECG-InterpBench: Benchmarking the Interpretability of ECG Foundation Models with Matched-Scale Sparse Autoencoders
Jul 29, 2026Yixuan Duan, Wei QiuElectrocardiogram Foundation Models Neural Network Interpretability
Department of Electrical and Computer Engineering Rice University Houston, Texas, USA
Cardiologent: Multi-Agent Clinical Decision Support for Patient-Level Arrhythmia Assessment, Urgency, and Management
Jul 28, 2026Sukju Oh, Moo-Yong Rhee, Jae-Sik Jang +1Electrocardiography Clinical Decision Support
Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul, 04620, Republic of Korea · Department of Cardiology, Dongguk University Ilsan Hospital, Goyang, 10326, Republic of Korea
CADENCE: A Cardiac Atom Dictionary for Interpretable Neural Concept Extraction from ECG Foundation Models
Jul 28, 2026Yixuan Duan, Arjun Naik, Sadeer Al-Kindi +1Electrocardiography Electrocardiogram Foundation Models
Department of Electrical and Computer Engineering Rice University Houston, Texas, USA · Department of Computer Science Rice University Houston, Texas, USA · Department of Cardiology Houston Methodist Hospital Houston, Texas, USA
CardioBench: A Real-World Data Benchmark for Evaluating Large Language Models in Clinically Authentic Cardiovascular Care Scenarios
Jul 28, 2026Xiao Li, Mouxiao Bian, Zhaodi Wu +8Healthcare Clinical Language Model Evaluation
Department of Cardiology, Zhongshan Hospital Fudan University , Shanhai, China · Shanghai Institute of Cardiovascular Diseases, National Clinical , Shanghai, China · Research Center for Interventional Medicine , Shanghai, China +2
Automated ECG Interval Measurement and Wave Delineation Using Fast Fourier Convolution ResNet
Jul 27, 2026Farhan Adam Mukadam, Harshit Mishra, Nachiket Makwana +3Electrocardiography Convolutional Neural Networks
Indian Institute of Science, Bengaluru, India · Gauze, India · Waikato District Health Board, Hamilton, New Zealand +1
Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
Jul 26, 2026Jie Lin, Weijie Sun, Sunil V. Kalmady +4Electrocardiography Clinical 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
ATRIA: Adaptive Traceable ECG Reporting with Iterative Agents
Jun 23, 2026Donggyun Hong, Kyuhwan Lee, Junmyung Kwon +1Medical Report Generation Clinical Decision Support
MedicalAI Co., Ltd. · South Korea
Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals
May 26, 2026Phu X. Nguyen, Konstantinos Kontras, Wei Dai +5Representation Learning Cross-Modal Representation Learning
1KU Leuven · 3MIT · 4DFKI +1
Motif-based morphology signatures for interpretable ECG screening and monitoring
May 26, 2026Nivedita Bijlani, Mauricio VillarroelElectrocardiography Electrocardiogram Classification
The Podium Institute for Sports Medicine and Technology University of Oxford Oxford, UK
A Signal-Language Foundation Model for Broad-Spectrum Cardiovascular Assessment from Routine Electrocardiography
May 25, 2026Ziqing Yu, Yuhui Tao, Jiayu Huo +19Electrocardiogram Classification Multimodal Contrastive Learning
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
ExECG: An Explainable AI Framework for ECG models
May 19, 2026Jong-Hwan Jang, Yong-yeon JoExplainable Artificial Intelligence Healthcare
Medical AI Co. Ltd., Seoul, Republic of Korea
Reasoning Before Diagnosis: Physician-Inspired Structured Thinking for ECG Classification
May 17, 2026Yang Wu, Xiaoyan Yuan, Hau-San Wong +1RL for Language Model Reasoning Electrocardiogram Classification
1City University of Hong Kong · 2Beijing Institute of Technology · 3Shenzhen MSU-BIT University
DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition
May 15, 2026Jiahui Li, Ruili Fang, Zishuai Liu +3Electrocardiography Multimodal Classification
University of Georgia
Label-Conditioned Cross-Modal Fusion for Adult-to-Pediatric ECG Transfer via Curriculum-Gated Contrastive Alignment
May 1, 2026Xinran Liu, Yuwen Li, Hongxiang Gao +4Electrocardiography Cross-Modal Alignment
School of Instrument Science and Engineering, Southeast University, Nanjing 210096, Nanjing, China · Nanjing Medical University, Nanjing 211166, Nanjing, China · Zhengzhou University, Zhengzhou 450001, Zhengzhou, China
MARCUS: An agentic, multimodal vision-language model for cardiac diagnosis and management
Mar 23, 2026Jack W O'Sullivan, Mohammad Asadi, Lennart Elbe +10Medical VLMs Multimodal Understanding
Division of Cardiology, Department of Medicine, Stanford University, CA, USA · Department of Biomedical Data Science, Stanford University, CA, USA · Department of Electrical Engineering, Stanford University, CA, USA +7
ECG-Reasoning-Benchmark: A Benchmark for Evaluating Clinical Reasoning Capabilities in ECG Interpretation
Mar 15, 2026Jungwoo Oh, Hyunseung Chung, Junhee Lee +6Electrocardiogram Interpretation Clinical Reasoning
KAIST · Ajou University School of Medicine · Yonsei University College of Medicine +1
ECG-MoE: Mixture-of-Expert Electrocardiogram Foundation Model
Mar 4, 2026Yuhao Xu, Xiaoda Wang, Yi Wu +3Electrocardiogram Foundation Models Electrocardiography
Department of Computer Science, Emory University, Atlanta, GA 30307 · School of Computer Science, University of Oklahoma, Norman, OK 73019 · Center of Data Science, Emory University, Atlanta, GA 30307
How Well Do Multimodal Models Reason on ECG Signals?
Feb 27, 2026Maxwell A. Xu, Harish Haresamudram, Catherine W. Liu +11Electrocardiogram Interpretation Multimodal Model Evaluation
University of Illinois Urbana Champaign · Google Inc · Rush University +4
RhythmBERT: A Self-Supervised Language Model Based on Latent Representations of ECG Waveforms for Heart Disease Detection
Feb 26, 2026Xin Wang, Burcu Ozek, Aruna Mohan +3Electrocardiogram Representation Learning Electrocardiogram Foundation Models
Virginia Tech, VA, USA · Walkky LLC, Boston, MA, USA · Northeastern University, Boston, MA, USA +1

Oct 6, 2026J/K move · Enter open · S save

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

Robert A. Lewis, I-Min Chiu, Kyle Verrier, Karthik Jayaraman Raghuram+6

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

Electrocardiogram Foundation Models Electrocardiogram Classification Multimodal Contrastive Learning Electrocardiogram Representation Learning Electrocardiogram Interpretation

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Electrocardiography (ECG) records the electrical activity of the heart, aiding diagnosis by detecting abnormalities in cardiac function. ECG foundation models have demonstrated promising results, but are limited by a reliance on ECG interpretation reports as their sole supervision. Because interpretation reports only capture the subset of waveform information routinely recognized by clinicians, this constrains representation learning to overlook the broader diagnostic signals present in ECG. We introduce a new ECG foundation model --- MS-ECG-FM --- that is trained through contrastive alignment to multiple distinct clinical note types, including ECG, echocardiography, radiology, and discharge reports. We evaluate MS-ECG-FM on an extended set of ECG detection benchmarks, showing that it comprehensively outperforms existing methods on the full span of conditions that ECG can detect, including in reduced-lead configurations. Different reports improve representations for different diagnostic domains, while multi-source alignment captures their complementary information and produces consistently strong representations across clinically diverse tasks.