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

HeartcareGPT: A Unified Multimodal ECG Suite for Dual Signal–Image Modeling and Understanding
Yihan Xie, Sijing Li, Zhuonan Wang et al. 2026. Cites: paper

Learning Clinically Relevant ECG Lead Subsets for Myocardial Infarction Detection
Gaddam Uma, S. Ganga, Shahzadi Asra. IEEE Global Symposium on Emerging and Communication Technologies (GSEACT), 2026. Cites: paper

Multilabel Cardiovascular Disease Detection Using Multi-Kernel Attention-Gated Network
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Region 10 Symposium (TENSYMP), 2026. Cites: paper

Quality Over Quantity: The Impact of Diagnostic Certainty of Data in Deep Learning for ECG Analysis
Mineth De Croos, Nisitha Padeniya, Chamath Rupasinghe et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Single-Lead Abnormal ECG Screening with a Lightweight Deep Learning Model for Wearable Health Monitoring
Estela Ribeiro, Quenaz Bezerra Soares, Douglas de Andrade de Almeida et al. 2026. Cites: paper

TAPEC: Transformer and Adaptive Policy-based Early Classification for Diverse and Varied-length Time Series
Ya-Chu Chang, Yujia Wu, Vincent S. M. Tseng. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

Temporal Latent Priors Improve Sequential Generative Modeling of Full-Length 12-Lead ECGs
Marko Miletic, Murat Sariyar. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Towards Generalizable ECG Understanding: A Masked Patch Reconstruction–Driven Self-Supervised Transformer Framework for Multi-Label Cardiac Diagnostics
Ashish Bajaj, Anil Kumar Verma, Abhishek Mohan. IEEE Global Symposium on Emerging and Communication Technologies (GSEACT), 2026. Cites: paper

A Lightweight Multiscale Deep Learning Framework for Automated Cardiovascular Disease Classification from Standard 12-Lead ECG Images
Chotirose Prathom, Ryoga Sato, Shinya Watanabe et al. Technologies, 2026. Cites: paper

A diffusion-enhanced classification system for physiological signal-based diagnosis
Haotian Tang, Hanyu Cui, Xidong Wu et al. Expert Systems with Applications, 2026. Cites: paper

Tail-AwareNet: An ECG-Based classification network for accessory pathway locations
Yuer Ma, Yi Feng, Jialin Wang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Developing and validating an artificial intelligence-based electronic triage model for predicting clinical outcomes among cardiac-suspected patients in the emergency department
Ahmad Bavali‐Gazik, Elahe Allahyari, Amir Sezavar et al. European Heart Journal - Digital Health, 2026. Cites: paper

MTF-Net: Multi-Scale Temporal Fusion Network for Efficient ECG Semantic Segmentation
Peng Bai, Yao Chen, You Wu et al. International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC), 2026. Cites: paper

From ECG Signal to Clinical Report: A Two-Stage Deep Learning Framework with Systematic LLM Evaluation
Oussama El Allam, Mohamed Hamlich. International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2026. Cites: paper

Transfer Learning and Multi-Task Optimization for Multi-Modal Heart Disease Prediction: Integrating Clinical Data and ECG Signals with Uncertainty Quantification
Masoud Amiri, Parand Shariatrad. Biomedical Signal Processing and Control, 2026. Cites: paper

A deep learning ECG model for identification and localization of occlusion myocardial infarction
Stefan Gustafsson, Antônio H. Ribeiro, Daniel Gedon et al. Nature Communications, 2026. Cites: paper

CardioXAI: A Dual-Attention Deep Learning Framework with Interpretable Risk Assessment for Large-Scale ECG Classification
Wensai Xuan, Chenyang Xu, Zhengan Wu et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

L-BiTMix: A Lightweight Channel-Mix Temporal Convolutional Network for ECG Analysis
Yi Zhao, Chenyang Xu, Hao Wang. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

Zero-Shot ECG Arrhythmia Classification from Waveform Images: An Experimental Study with Vision-Language Models
Joseph Azar, Raphaël Couturier, Ke Du et al. IEEE Middle East and North Africa Communications Conference (MENACOMM), 2026. Cites: paper

Detecting cardiovascular diseases using ECG scans and explainable artificial intelligence
Arkadiusz Czerwinski, Damian Kucharski, Jacek Kawa et al. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

ECG Multi-Class Diagnostics Using a Hybrid CNN-Transformer with Self-Supervised Pre-Training
Ksenia Massaltseva, Ming Li, Artem Pavlikov et al. Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), 2026. Cites: paper

Advances in artificial intelligence techniques for diagnosis of cardiac diseases
Essam Halim Houssein, Hebatollah Mostafa, Abdelmgeid Amin Ali et al. Discover Artificial Intelligence, 2026. Cites: paper

Short Paper: Towards Real-Time ECG and EMG Modeling on μNPUs
Josh Millar, Ashok Samraj Thangarajan, Soumyajit Chatterjee et al. 2026. Cites: dataset

A Hierarchical Privacy-Preserving Federated Learning Framework with Differential Privacy for Collaborative Healthcare Diagnostics
M. D. Vimalapriya, R. Mythili, A. Poonguzhali et al. SN Computer Science, 2026. Cites: paper

Hierarchical adaptive conformal inference for reliable uncertainty quantification in edge-deployable medical wearables
Oussama El Allam, Mohamed Hamlich. Measurement, 2026. Cites: paper

A Semi-Supervised Noisy Label Learning Framework with Distribution Alignment for Chagas Disease ECG Detection
Hao Chen, Songtao Jiang. International Conference on Machine Learning and Intelligent Systems Engineering (MLISE), 2026. Cites: paper

Automated Coronary Artery Disease Detection using ECG and Demographical Data
Neeraj Singh, Karan Jain, Suchi Jain. IEEE International Conference on Intelligent Technologies for a Sustainable and Inclusive Future (ICITSIF), 2026. Cites: paper

Distinguishing Suspicious Brugada from Benign RBBB: Binary and Multi-Class Evaluation with a Lightweight CNN on Leads $\mathrm{V}_{1}$ and $\mathrm{V}_{6}$
Alessandro Casella, Vincenzo Randazzo, Carla Giustetto et al. IEEE International Instrumentation and Measurement Technology Conference, 2026. Cites: paper

How Well Can Vision-Language Models Interpret ECGs? A Multi-Model and Multi-Representation Investigation of Zero-Shot Arrhythmia Classification
Ke Du, Joseph Azar, Jiaxing Yan et al. International Conference on Computer, Control and Robotics (ICCCR), 2026. Cites: paper

Multi-Agent Large Language Model Framework for Comprehensive ECG Signal Analysis: Delineation, Classification, and Arrhythmia Subtyping with Temporal Hierarchical Reasoning
Mohsen Avesta, Maedeh Avesta, Asma Yousefian Baboukani et al. 2026. Cites: paper

Training Strategies for Imbalanced Single-Task and Multitask Electrocardiogram Classification
Joshua Tiffany, Qi Zhang. Conference proceedings - Canadian Conference on Electrical and Computer Engineering, 2026. Cites: paper

DiffTS-Med: a diffusion-based framework for multimodal medical time series generation, imputation, and forecasting
Ziyan Yan, Jiabin Liang, Chenyu Li et al. Biomedical Signal Processing and Control, 2026. Cites: paper

A transformer encoder-based multi-feature branch network for myocardial infarction localization
Peng Xiong, Shiqi Ma, Wenjun Xie et al. International Journal of Data Science and Analytics, 2026. Cites: paper

MIMIC-III-Ext-PPG, a PPG-based Benchmark Dataset for Cardiovascular and Respiratory Signal Analysis
Mohammad Moulaeifard, Marie Kutscher, Philip J. Aston et al. Scientific Data, 2026. Cites: paper

The Rlign algorithm for enhanced electrocardiogram analysis through heart rate–corrected ECG alignment for explainable classification and clustering
Lucas Plagwitz, Lucas Bickmann, Michael Fujarski et al. European Heart Journal - Digital Health, 2026. Cites: paper

A 10.1-ENOB 8kHz Bandwidth 95--250nW PVT-Robust DT Level-Crossing ADC for Sparse and Generic Signals
Jixuan Mou, Pieter J. A. Harpe, Alessandro Saccon et al. IEEE Journal of Solid-State Circuits, 2026. Cites: paper

A self-supervised electrocardiogram foundation model for empowering cardiovascular disease prediction and genetic factor discovery
Siying Lin, Zhaoqi Li, Qifan Wu et al. Nature Communications, 2026. Cites: paper

Self-organized channel attention network for myocardial infarction detection from single-lead ECG
Junming Zhang, Yushuai Wang, Yuxiao Peng et al. Biomedical Signal Processing and Control, 2026. Cites: paper

ML-PatchTST: A Spatio-Temporal Joint Patch Attention Network for Multi-Lead ECG Arrhythmia Classification
Xianfeng Xia, Qin Wei. International Conference on Electronic Information Engineering, Big Data and Computer Technology (EIBDCT), 2026. Cites: paper

On the generation of 12-channel electrocardiograms based on a hybrid of diffusion and graph neural network models
Evgeniy Schetinin, Anna V. Pestryakova, Julia Georgievna Shatalova et al. VESTNIK OF ASTRAKHAN STATE TECHNICAL UNIVERSITY SERIES MANAGEMENT COMPUTER SCIENCE AND INFORMATICS, 2026. Cites: paper

Cardiovascular Risk Prediction Using ECG via a Time–Frequency Embedding Pre-Trained Model
Junhao Lin, Guanhua Ren, Changhong Jing et al. IEEE Transactions on Consumer Electronics, 2026. Cites: paper

A clinically-oriented XAI framework for arrhythmia triage via Hierarchically-Decomposed Neural Attribution: From dual-stream interpretation to risk stratification
Yusen Wu, Jinde Zhu, Junhao Yuan et al. Computational Biology and Chemistry, 2026. Cites: paper

An End to End Hybrid CNN and LSTM Framework for ECG Classification with Demographic and Statistical Insights on QT and QRS Dynamics
Maitreya Moola, Abhirup Basu, Mayank Kishor et al. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2026. Cites: paper

Unsupervised phenotype discovery in 12-lead ECGs using deep multimodal clustering techniques
Ridwan Salahudeen, Shengwu Xiong, Aishah A. Muhammad et al. Biomedical Signal Processing and Control, 2026. Cites: paper

AdaGrad-Fusion: Adaptive Gradient Fusion for Memory-Efficient ECG Foundation Model Fine-Tuning
Chenyang Xu, Yi Zhao, Z Zhang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

AutoLeadX: A Unified Framework for Arbitrary Reduced-Lead to Standard 12-Lead ECG Reconstruction
Ya-Hsuan Chu, I-Fan Chen, Yujia Wu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

A Video Perspective on Electrocardiograms: Attention-Based Spatiotemporal Modeling
Cunnan Wei, Yanjie Lu, Hong Sun et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

CG-DMER: Hybrid Contrastive-Generative Framework for Disentangled Multimodal ECG Representation Learning
Ziwei Niu, Hao Sun, Shujun Bian et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Cross-Modality Self-Supervision for Unimodal Physiological Signals Representation Learning
Xiaomao Fan, Shuangdu Li, Jikui Liu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

ECG-Agent: On-Device Tool-Calling Agent for ECG Multi-Turn Dialogue
Hyunseung Chung, J H Oh, Daeun Kyung et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

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