Publications citing PTB-XL, a large publicly available electrocardiography dataset v1.0.1

ECG TransNet: Intra/Inter-Lead Feature Integration with Proxy-Guided Learning for 12-Lead ECG Classification
Jaebin Cha, Junyeong Heo, Ryuha Kim et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Enhancing Inter-Lead Correlations: A Novel Diffusion GAN Framework for 12-Lead ECG Generation
Yongchao Wang, Guo F, Shizhan Tang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

From ECG Signals to Diagnostic Reports: A Unified Framework with Multimodal Encoder and Fine-Tuned LLM for Automated Report Generation
S Wang, Zhaoming Pang, S Wang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Physiologically Informed Attention: Tackling Class Imbalance in Myocardial Infarction Localization with an ST-Segment Guided Transformer
Yiran Chen, Shuo Yang, Yisu Liu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

RhythmBERT: A Self-Supervised Language Model Based on Latent Representations of ECG Waveforms for Heart Disease Detection
Xin Wang, Burcu Ozek, Aruna Mohan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Robust Multimodal Representation Learning in Healthcare
Xiaoguang Zhu, Linxiao Gong, L. C. Sun et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Seam-Former: Infusing Waveform Semantics into Transformers for Explainable Myocardial Infarction Localization via 12-Lead ECG
Yuhang Liu, Fan Lin, Qiang Xie et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Deep Learning-Based ECG Retrieval for Scalable Clinical Decision Support
Varshika Rajesh, R. Prathanyaasree, Vishal. U et al. 2026. Cites: paper

Low-latency HRV analysis from ultra-short ECG windows using a modular deep-learning framework
Jan Dobrosolski, Julian Szymański, Dariusz Kozłowski. Scientific Reports, 2026. Cites: paper

A Multi-Label Electrocardiogram Classification Study Integrating Clinical Metadata and Channel Attention
Jiajing Sun, Ying Sun, Jiang Zhao et al. Journal of Computer Science and Frontier Technologies, 2026. Cites: paper

Electrocardiogram classification method based on nonlinear spiking neural convolutional and echo-like recurrent models
Junxian Xiao, Jianbin Yan, Bing Li et al. Biomedical Signal Processing and Control, 2026. Cites: paper

ECG Classification Model Based on Multi-View Image Fusion
Yue Zongzhen, Xudong Zhu, Peihao Zhang et al. International Conference on Biomedicine and Bioinformatics Engineering (ICBBE), 2026. Cites: paper

EchoNext-Mini: A Dataset and Baseline AI Model for Detecting Structural Heart Disease from Electrocardiograms
John Weston Hughes, Linyuan Jing, Joshua Finer et al. NEJM AI, 2026. Cites: paper

A Clinically Alinigned ResNet-1D Framework for Robust Myocardial Infarction Detection Using 12-Lead ECG Signals
Chennaiah Kate, Mothe Rakesh, Alpha Vijayan et al. International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), 2026. Cites: paper

A New Multi-Class Framework for Electrocardiogram Arrhythmia Classification Using Artificial Intelligence
Mohammad Zuhair Abo Hadba, Amira J. Zaylaa, Mohammad Ayache. IEEE International Multidisciplinary Conference on Engineering Technology (IMCET), 2026. Cites: paper

Fusion of RR Interval Dynamics and HRV Multidomain Signatures Using Multimodal Neural Models for Metabolic Syndrome Classification
Miguel A. Mejia, Oscar J. Suárez, Gilberto Perpiñán et al. Medical Sciences, 2026. Cites: paper

Stabilizing Extreme Few‐Shot ECG Classification via Self‐Supervised Contrastive Pretraining
LiuPing Zeng, Jingmei Pan, YangJie Lu et al. Annals of Noninvasive Electrocardiology, 2026. Cites: paper

FPECGNET: A deep learning framework based on federated learning and prototype learning for interpretable ECG classification with privacy
Jiang He, Jie He, Jin Xiong et al. iScience, 2026. Cites: paper

An Enhanced Deep Learning Framework for Predicting Risk Levels of Heart Disease Using Multimodal Data
Manpreet Kaur, Rohini Mahajan, Amandeep Kaur et al. International Conference on Computing for Sustainable Global Development, 2026. Cites: paper

BEAT-SSL: Capturing Local ECG Morphology Through Heartbeat-Level Contrastive Learning with Soft Targets
Muhammad Ilham Rizqyawan, Peter W. Macfarlane, Stathis Hadjidemetriou et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

MultiECGNet: Evaluation of a Deep-Learning Ensemble Method for Image-Based 12-Lead Electrocardiographic Detection of Atrial Fibrillation
George Parker, Justin Anh-Kiet Phan, Nigel Hamilton Lovell et al. CJC Open, 2026. Cites: paper

Seeing Beyond the Image: ECG and Anatomical Knowledge-Guided Myocardial Scar Segmentation from Late Gadolinium-Enhanced Images
Farheen Ramzan, Yusuf Kiberu, Nikesh Jathanna et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Wavelet-Domain Multi-Representation and Ensemble Learning for Automated ECG Analysis
Lina Chato, Alex Kagozi. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

MAF-Net: Multimodal cross-attention-based fusion network for cardiovascular disease classification
Chang Qu, Xin Zhang, Yansong Lu et al. PLoS ONE, 2026. Cites: paper

ECG Classification on PTB-XL: A Data-Centric Approach with Simplified CNN-VAE
Naqcho Ali Mehdi, Saad Qasim Khan, Arfan Ghani et al. International Conference on Electrical/Electronics, Robotics, Artificial Intelligence, and Informatics (ICERAI), 2026. Cites: paper

High‐Fidelity Atrial Fibrillation Electrocardiogram Signal Generation Based on Mamba‐WGAN‐GP
Xingyu Chen, Yonghong Xu, Xianyou Zeng et al. Concurrency and Computation Practice and Experience, 2026. Cites: paper

Mamba: Efficient State-Space Modeling for Short-Window Atrial Fibrillation Detection from 12-Lead ECG
Mecheri Metidji, Abdou El Karim Tahari, Dounya Kassimi. International Conference on Pattern Analysis and Intelligent Systems (PAIS), 2026. Cites: paper

Adversarial Deep Learning Framework for Multimodal Authentication Using ECG and Fingerprint Biometrics
Abdullah Alduhailan, Nazhatul Hafizah Kamarudin. International Conference on Smart Multidomain Integrated Learning Environments (ICSMILE), 2026. Cites: paper

New Cardiovascular Signal Processing and Feature Engineering Methods for Disease Detection Based on Machine Learning
Haider Abdulkarim, Hussein Khaleel, Shaimaa Hameed Abd et al. International Journal of Electrical and Electronics Research, 2026. Cites: paper

A review on multi-sensor data fusion for wearable health monitoring
Arlene John, Alex Pappachen James, Barry Cardiff et al. Information Fusion, 2026. Cites: paper

ST-Align: A time series and text alignment framework for cross-subject multivariate time series classification
Zhenghuang Wu, Tao Zhang, Ke Li et al. Neural Networks, 2026. Cites: paper

Lightweight and interpretable edge intelligence AI with intrusion detection for trustworthy cardiac arrhythmia in medical IoT
Muhammad Imran Khalid, Altaf Hussain, Nasir Hussain et al. Scientific Reports, 2026. Cites: paper

Deformable Convolutions Improve Time Series Classification by Capturing Sparsed Patterns
José Gilberto Barbosa de Medeiros Júnior, André Guarnier de Mitri, Maxime Devanne et al. ACM Symposium on Applied Computing, 2026. Cites: dataset

HMT-KD: Lightweight deep learning model for ECG analysis using hierarchical multi-teacher knowledge distillation framework
Nasim Beigzadeh, Abdolhossein Fathi. Applied Soft Computing, 2026. Cites: paper

Transfer learning is the electrocardiogram reconstruction capstone
Ekenedirichukwu Nelson Obianom, Abdulmalik Koya, Fan Feng et al. Computers in Biology and Medicine, 2026. Cites: paper

VitalDB Arrhythmia Database: An Anesthesiologist-Validated Large-scale Intraoperative Arrhythmia Dataset with Beat and Rhythm Labels
Da-In Eun, K SHIM, Hyunsoo Lee et al. Scientific Data, 2026. Cites: paper

A lightweight and robust method for electrocardiogram anomaly detection and localization using multi-scale masked autoencoder
Ya Zhou, Yujie Yang, Jianhuang Gan et al. PLoS ONE, 2026. Cites: paper

Sample-Wise False-Positive Reduction in ECG P-, R-, and T-Peak Detection via Physiological Temporal Constraints and Lightweight Binary Classifiers
Yutaka Yoshida, Kiyoko Yokoyama. Signals, 2026. Cites: paper

Teaching multimodal LLMs to comprehend 12-lead electrocardiographic images
Ruoqi Liu, Yuelin Bai, Xiang Yue et al. npj Digital Medicine, 2026. Cites: paper

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
Jinbo Chen, Haoyu Wang, Guixin Xu et al. Advanced Science, 2026. Cites: paper

ECG-GTMD: A CVD diagnosis model based on graph-transformer with multi-domain fusion of spatiotemporal and band features
Lihan Xia, Yun Zhang, Chong Fu et al. Information Sciences, 2026. Cites: paper

Optimized ECG Based Detection of Heart Abnormalities Using Federated Machine Learning
Vedant Kesharia, Atharva Rajmane, Pranay Khandagle et al. IEEE International Conference for Convergence in Computing Technology (I3CTCON), 2026. Cites: paper

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
Liangqi Yuan, Dong-Jun Han, Su Wang et al. IEEE Transactions on Mobile Computing, 2026. Cites: paper

From Prototypes to Sparse ECG Explanations: SHAP-driven Counterfactuals for Multivariate Time-series Multi-class Classification
Maciej Mozolewski, Betül Bayrak, Kerstin Bach et al. Information Systems Frontiers, 2026. Cites: paper

Global attention and multi-scale fusion dynamic extraction network for 12-lead ECG classification
Xiangqian Liu, Shihua Li, Bo Wang et al. Multimedia Systems, 2026. Cites: paper

CARDxnosis: Anatomico-clinical knowledge-driven explainable network with multi-domain information fusion for ECG diagnosis and report generation
Tushar Talukder Showrav, Soyabul Islam Lincoln, Md.Kamrul Hasan. Neurocomputing, 2026. Cites: paper

Physical activity recognition based on electrocardiogram data only
Sina Montazeri, Waltenegus Dargie, Yunhe Feng et al. Smart Health, 2026. Cites: paper

Multimodal Medical Image Binding via Shared Text Embeddings
Yunhao Liu, Suyang Xi, Shiqi Liu et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

An Attentive Hybrid Network for Myocardial Infarction Severity and Risk Assessment
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Sensors Journal, 2026. Cites: paper

Artificial intelligence—derived electrocardiographic age gap as a predictor of mortality after coronary revascularization: prognostic value and short-term intra-patient variability
Louise Vander Heyde, Karl Dujardin, Wim Anné et al. European Heart Journal - Digital Health, 2026. Cites: paper

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