Publications citing PTB-XL, a large publicly available electrocardiography dataset v1.0.3

Privacy-Preserving Edge CDSS: A Hybrid 1D-ResNet and RAG-Augmented SLM Approach for Multi-Label ECG Anomaly Detection
La Fajrin, Agus Sihabuddin. International Conference on Advanced Machine Learning and Data Science (AMLDS), 2026. Cites: paper

SGRF-Net: Shape-Guided Residual Fusion Network for 12-Lead ECG Anomaly Detection
Jiaming Liu, Jinqing Qi, Yuan-Yi Zhang. 2026. Cites: paper

Source-Only Transportability of Engineered ECG Features for Healthy-Versus-Myocardial Infarction Classification
Fatih Aydın, Sefer Usta, Ezgi Kalaycıoğlu et al. Diagnostics, 2026. Cites: paper

TinyML-based Wearable ECG Monitoring Systems: State-of-the-Art Survey on Architectures, Optimizations and Deployment Challenges towards Future Directions
Saja B. Attallah, Rand A. Atta, Zaid Ameen Abduljabbar et al. International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2026. Cites: paper

A deep learning approach using transfer learning on ECG images validated with real-world clinical data for arrhythmia detection
Ömer Yıldız, Abdulkadir Şeker. Biomedical Signal Processing and Control, 2026. Cites: paper

Explainable Deep Learning for Multi-Label ECG Classification: Clinical Validation and Analysis of Signal Transformations
Noelia Barranco Godoy, Marian Diaz-Vicente, Sergio González-Cabeza et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: dataset

HarmoMed: An Agentic Framework for Auditable Multimodal Biomedical Data Harmonization
Ismael Villanueva-Miranda, Zifan Gu, Guanghua Xiao et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

Knowledge augmentation via synthetic data: A framework for ECG image classification
X J Wang, Ramesh Nadarajah, Zhiqiang Zhang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Robustness and Energy-Aware ECG Classification under Input and Model Compression
Luca Barillaro, Chiara Zucco, Giuseppe Agapito et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

Assessing the robustness of evaluation metrics for synthetic ECG signal quality
Maria Russo, Inês Sousa, Ricardo Santos et al. Computers in Biology and Medicine, 2026. Cites: paper

LSAB-zCDP: Layer-wise Sensitivity Analysis with Tight Bounds under Zero-Concentrated Differential Privacy for Deep Autoencoder Composition in Medical IoT
Manas Kumar Yogi, A. S. N. Chakravarthy. Journal of ISMAC, 2026. Cites: paper

Systematic benchmark of reduced-lead configurations for 12-lead ECG reconstruction: multi-model evaluation across all possible subsets
Xinyu Zhang, Hailing Cai, Huilong Duan et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Physics-informed generative digital twin with graph neural networks for personalized multi-class ECG-based heart disease detection
Tito Waluyo Purboyo. Network Modeling Analysis in Health Informatics and Bioinformatics, 2026. Cites: paper

Held-Out Multi-Source ECG Rhythm Classification with Attribution-Based Model-Behavior Inspection
Sen Zhang, Chao Liu, Qingfeng Li et al. International Conference on Big Data and Intelligent Medicine (BDIMed), 2026. Cites: paper

On the redundancy of denoising in electrocardiogram reconstruction
Ekenedirichukwu Nelson Obianom, Abdulhamed M. Jasim, ABUBAKAR SADIQ MUHAMMAD et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

A Reproducible Clinical Decision-Support Suite on MIMIC-IV
Jayakanth S Kesan. medRxiv, 2026. Cites: paper

Graph-Based ECG Synthesis with Activation-Consistency Certification and Diagnostics-Aware Morphology Curation
Yongjun Yoo. arXiv (Cornell University), 2026. Cites: paper

An OMOP Common Data Model pipeline for electrocardiography dataset integration by standardizing signal metadata and heart rate variability features
Pierluigi Reali, Valentina Tibollo, Gaia Riboni et al. Frontiers in Bioinformatics, 2026. Cites: dataset, paper

Cross-domain transfer learning strategy enhances interpretability of deep learning model explanations
Matteo Zannini, Alexander Hammer, Hagen Malberg et al. Scientific Reports, 2026. Cites: dataset, paper

Disparate privacy risks from medical AI
Moritz A. Knolle, Martin J. Menten, Friederike Jungmann et al. Nature, 2026. Cites: paper

WAVE: Wall-Aligned Vector Embedding for Self-Supervised Learning of Electrocardiograms
Shurong Pan, Wenhan Liu, Qingyuan Wu et al. Bioengineering, 2026. Cites: paper

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin, Yaxuan Kong, Yuxuan Liang et al. ACM Computing Surveys, 2026. Cites: paper

A Multi-channel convolutional neural network for ECG signal classification
Harshini Polavarapu, RAJESH MITUKULA. Engineering Research Express, 2026. Cites: paper

Physiology-Aware CNN and Zero-Shot Multimodal LLMs for ECG Image Classification: A Comparative Study
Khalil Ahammad, Derek Abbott, Mohsen Dorraki. arXiv (Cornell University), 2026. Cites: paper

MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization
Aueaphum Aueawatthanaphisut. arXiv (Cornell University), 2026. Cites: dataset, paper

Wearable-Grade Lead Reduction Disproportionately Degrades ECG AI Performance in Elderly Patients: Evidence from PTB-XL and MIT-BIH
Kabi Raj Tiruwa, Abhisan Ghimire. medRxiv, 2026. Cites: dataset, paper

AI and IoT Enabled ECG and PPG Based Early Detection of Cardiovascular Abnormalities
Vinod Chandrashekhar Hugar, Prashanth S. H., Manjunath Swamy K. et al. 2026. Cites: paper

The ARGO dataset: Annotated and delineated intracardiac electrograms of post-ischemic ventricular tachycardia
Marco Orrù, Giulia Baldazzi, Davide Zirolia et al. PLoS ONE, 2026. Cites: paper

A Mamba-based framework for synchronous delineation of P, QRS, and T wave in 12-lead ECGs
Ruiwen Li, Zongyu lv, Ming-Jie Wang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

An Edge–Cloud Collaborative ECG-Assisted Diagnostic System Leveraging Cross-Lead Knowledge Distillation and Large Language Models
Haohan Su, Shuai Wang, Hongxiao Wang et al. Sensors, 2026. Cites: paper

IT2-GaussFormer: An interval type-2 Gaussian fuzzy transformer for medical time-series classification
Cheng Tang, Yong-Kang Tang, Hong Mo. Biomedical Signal Processing and Control, 2026. Cites: paper

Patient Privacy in Differentially Private Diagnostic Models
Priit Järv, Tapio Pahikkala, Antti Airola. ACM International Workshop on Security and Privacy Analytics (IWSPA), 2026. Cites: dataset, paper

Privacy-Preserving Biometric Authentication in Resource-Constrained Environments: A PRISMA Systematic Review of Multimodal and Fuzzy-Vault Methods
Shadrach Olarewaju, Ali Safaa Sadiq, Omprakash Kaiwartya et al. Journal of Cybersecurity and Privacy, 2026. Cites: paper

Quantum-Assisted Federated Edge Intelligence With Authenticated Secure Aggregation for Wearable Arrhythmia Detection in IoMT
Mohamed Elhoseny, Fatma Taher, Mohammed K. Hassan. IEEE Internet of Things Journal, 2026. Cites: paper

Twin2Twin: Digital Twin–Driven Orchestration of Federated Learning in Medical IoT Environments
Chiara Suraci, Pietro Zema, Antonella Molinaro et al. IEEE Internet of Things Magazine, 2026. Cites: paper

From one to twelve: feasibility and clinical utility of deep learning-derived 12-lead ECGs for remote cardiac monitoring
H Hu, Zekai Yu, Feiwei Qin et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Security-Efficiency Trade-offs in Real-Time ECG Classification under Adversarial and Signal Integrity Perturbations
Bilgin Demir, Ervin Domazet, Elzana Dupljak et al. Mediterranean Conference on Embedded Computing (MECO), 2026. Cites: paper

Site-Aware Federated Learning via Embedding and Resampling with Electrocardiograms
Wesley Chorney, Sing Hui Ling, Haifeng Wang. Information, 2026. Cites: paper

An integrated architecture for ECG classification combining state-space model Mamba with CNNs
Yuepeng Tian, Lin Xu, Shuo Zhang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Clinically-aligned explainable AI for atrial fibrillation detection: A U-Net inspired multi-lead ECG analysis framework
Amirsajjad Taleban, Rodney Sparapani, Sharon Zlochiver et al. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

ECG-derived age deviation predicts cardiovascular diseases across lead configurations and cohorts
Deniz Aydogdu, Farieda Gaber, Arash Sorooshmehr et al. medRxiv, 2026. Cites: paper

A locally deployable agentic framework for clinical data deidentification
Anja Hirsch, Foo Wei Ten, Kyle Steven Krueger et al. medRxiv, 2026. Cites: dataset

Demographic-aware temporal graph attention for fair and accurate cardiac abnormality detection in 12-lead ECG
Mohamed Naeem. Scientific Reports, 2026. Cites: paper

Interpretable detection of left ventricular hypertrophy using commercial ECG features and machine learning: a study based on the PTB-XL+ dataset
Qibao Zhou, Xiao LUO, Kaihui Du. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Quantum-enhanced ECG analysis for reliable and secure arrhythmia detection in medical IoT systems
Ala’a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang (12152). Journal of Cloud Computing Advances Systems and Applications, 2026. Cites: paper

Academia and industry in the age of artificial intelligence: a narrative review
Elmer Victor Bernstam, Todd R. Johnson, Fares Alahdab. BMJ Digital Health & AI, 2026. Cites: paper

A Hybrid Siamese–CNN Framework with Improved Beat Aggregation for ECG Biometric Authentication
Mohamed Abdalla Elsayed Azab, Victoria Korzhuk, A.S. Sila. International Siberian workshops and tutorials on electron devices and materials, 2026. Cites: paper

Benchmarking Signal Reconstruction Pipelines Against Direct Visual Feature Extraction for Digitized ECGs
Jakub Antczak, Jakub Szafrański, Dzmitry Pihulski et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Beyond the RVOT: Prognostic ECG Feature Discovery in Brugada Syndrome via Transfer Learning and Lead Ablation
Alessandro Casella, Vincenzo Randazzo, Fiorenzo Gaïta et al. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

Blossom: Block-wise Federated Learning Over Shared and Sparse Observed Modalities
Pranav R, Jayant Chandwani, Ahmed M. Abdelmoniem et al. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

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