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

SynForge-Cardio: a unified multimodal synthetic dataset generation framework for privacy-preserving cardiovascular AI
Sreyas Sanil Kumar, Kishore N., Amirthalakshmi T. M. et al. Frontiers in Digital Health, 2026. Cites: paper

ECG-Based Arrhythmia Analysis and Short-Term Ventricular Event Prediction Using Deep Learning
Heonjong Yoo, Hika Barki, Wan‐Young Chung. Electronics, 2026. Cites: paper

Edge-cognitive Internet of vehicles for heart disease monitoring: self-supervised pretraining, federated personalization, and uncertainty-aware alerts
Saeed Javanmardi, Zahra Ziran, Zahra Asghari Varzaneh et al. Journal of Reliable Intelligent Environments, 2026. Cites: dataset, paper

Repository of the study: adapted Quantum Snowflake Algorithm, BBOB ablation and LeadMix-Net (PTB-XL), revised submission (round 1)
Gülsüm Kemerli, Tayyip Özcan. Zenodo (CERN European Organization for Nuclear Research), 2026. Cites: paper

Which representation clusters? A chance-corrected benchmark of ECG representations for unsupervised arrhythmia structure
Dongho Chun, Axel Faes. Biomedical Signal Processing and Control, 2026. Cites: paper

Holtercare-Bench: A Multimodal Benchmark for Evaluating Long-Term Dynamic ECG Analysis
Yihan Xie, Hanwen Cui, Runze Ye et al. ACM International Conference on Multimedia (ACM MM), 2026. Cites: dataset

MedTRACE: Tool-Augmented Multimodal Clinical Reasoning Agents for Evidence-Grounded Decision-Making
Ji LU, Lifei Liu, Haoran Yu et al. Lecture notes in computer science, 2026. Cites: paper

Interpretable ECG manifolds link longitudinal electrical phenotypes to heart-failure risk in hypertrophic cardiomyopathy
Pietro Cerveri, Marion Taconné, Valentina Corino et al. medRxiv, 2026. Cites: paper

Patient-Referenced and Trajectory Features from Serial ECGs for Haemodynamic Monitoring: An In Silico Study with External Feasibility Analysis
Yen‐Hsiange Wang. Physiological Measurement, 2026. Cites: dataset, paper

Time, frequency, and topology: A Dual-Modal Multi-View Graph Network for multi-label ECG classification
Xiaofei Jing, Bisheng Xia. Biomedical Signal Processing and Control, 2026. Cites: paper

An intelligent multi-expert dynamic collaborative learning framework for cross-domain early paroxysmal supraventricular tachycardia detection from non-episodic ECG data
Kengren Chen, Muqing Deng, Dehua Huang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Contrastive Captioning for Clinical Time-Series: Learning Joint ECG–Text Representations through Retrieval and Generation
Letizia Rotolo, Mina Rezaei, Solveig Vieluf et al. ACM International Conference on Information and Knowledge Management (CIKM), 2026. Cites: dataset, paper

Seq2Synth: Benchmarking Temporal Fidelity in Synthetic Sequential Tabular Data
Kiwan Kwon, Kangmin Kim, Hojin Lee et al. ACM International Conference on Information and Knowledge Management (CIKM), 2026. Cites: dataset

SRPM: A lightweight and high-precision ECG super-resolution method via multi-scale modulated parallel Mamba
Ruizhe Wang, Zhanyi Liu, Jie Sun et al. Expert Systems with Applications, 2026. Cites: paper

ECG foundation models share an age-related performance disparity that originates in the data, not the models
David Lung, Marie‐Kathrin Breyer, Francesco Moscato et al. medRxiv, 2026. Cites: paper

A cross-modal recognition model for high-risk cardiac diseases based on time–frequency knowledge feature extraction and adaptive attention
Shengya Shen, Longfei Mao, Runchuan Li et al. International Journal of Machine Learning and Cybernetics, 2026. Cites: paper

Local Conformal Auditing Exposes and Restores Reliability of AI-ECG Atrial Fibrillation Detection Under External Deployment Shift
Talha Abbasi, Ali Abbas, Umair Hamid Mehmood. Heart Rhythm, 2026. Cites: paper

Robust Remote ECG Monitoring under Energy Constraints: Anomaly Filtering versus Predictive Uncertainty
Mustafa Fuad Rifet Ibrahim, Maurice Meijer, Alexander Schlaefer et al. arXiv (Cornell University), 2026. Cites: dataset, paper

WFDB-x: Conformance-Tested Implementations of the WFDB Software Package in Seven Programming Languages
Reza Sameni. arXiv (Cornell University), 2026. Cites: paper

Accurate and Auditable ECG Classification via Visibility Graph Neural Networks
Artur Xavier, Guilherme H. G. Evangelista, Aitazaz Khan et al. arXiv (Cornell University), 2026. Cites: dataset

An Explainable Software-Based Framework for Pre-Symptomatic Grape Disease Risk Assessment Using MobileNetV2, Grad-CAM, and Weather Data
Chaskar Prajwal Doke Atharva, Balsaraf Sahil, Prof. S S Bhor. International Journal of Advanced Research in Science Communication and Technology, 2026. Cites: paper

Evaluating the Incremental Value of AI-Derived ECG Features Beyond Automated ECG Reports and Clinical Data for 30-Day Mortality: A MIMIC-IV Cohort Study
Sae-Hwan Park, Zachary Ji, Jennifer Lewey et al. medRxiv, 2026. Cites: paper

Low-rank matrix features and quality-controlled RR-interval models in short multilead ECGs: Matched construct validation and external rhythm comparisons
Patrick Dumitrescu, Johnny Cobas Hernandez, Renato Gustavo Luque et al. Journal of Electrocardiology, 2026. Cites: dataset, paper

Multimodal artificial intelligence for coronary stenosis detection from exercise electrocardiography
Yao Zheng, Na Feng, Huangsheng Pu et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

Patient-Specific Explainable Arrhythmia Detection Using Attention-Based Deep Networks
Ahmed Nahi Abdulkhudhur. Journal of University of Babylon for Engineering Sciences, 2026. Cites: dataset

Tiny Transformers for TinyML: A Systematic Review of Deployment Readiness, Trustworthiness, and Benchmarking
Leandro Antonio Pazmiño Ortiz, Alan Cuenca Sánchez, Ivonne Fernanda Maldonado Soliz. Future Internet, 2026. Cites: paper

CardioMultiNet for cardiovascular disease diagnosis using multi lead electrocardiogram data
M. Mounika, Yeluri Lakshmi Prasanna. Discover Computing, 2026. Cites: paper

Incremental value of resting electrocardiography and echocardiography for coronary artery disease: a retrospective cross-dataset evaluation
Tao Guo, Huan Wang, Qingqing Niu et al. Research Square, 2026. Cites: paper

Multi-Model Comparison of Deep and Classical Architectures for ECG Diagnostic Superclass Classification on PTB-XL
Vivaan Bhatt, Alessandro Hammond, Melat Mezgebu Bawoke et al. medRxiv, 2026. Cites: paper

AI-Based Early Cardiac Risk Detection and Emergency Alert Using Multi- Parameter Wearable Physiological Monitoring
Sanika Thorat, Sai Bangar, Amaan Inamdar. International Journal of Advanced Research in Science Communication and Technology, 2026. Cites: paper

Reconstructive information content of ECG leads and electrodes in premature ventricular contractions: an exhaustive, dual-population study
Fatih KÖKSAL. Journal of Electrocardiology, 2026. Cites: paper

Continuous multi-step ECG and PPG generation through latent disentanglement
Theekshana Dissanayake, Tharindu Fernando, Simon Denman et al. Computers in Biology and Medicine, 2026. Cites: paper

Lead-aware ECG image representation for Attribute-Invariant cardiomyopathy classification
Bo Chen, Xiazhen Qin, Junjie Cai et al. Pattern Recognition, 2026. Cites: paper

The Duke Clinically Linked Electrocardiogram and Arrhythmia Repository
Kiran Masroor, Stanton Daries, Ivan Nenadic et al. JACC Advances, 2026. Cites: paper

Контролируемый синтез электрокардиограмм в 12 стандартных отведениях для систем искусственного интеллекта: методологическая модель и требования к валидации
Сергей Анатольевич Атарщиков, Наталья Сергеевна Туманова, Вероника Евгеньевна Вереяскина. Clinical and Fundamental Medicine, 2026. Cites: paper

A Multihead Self-Attention and Adaptive Multiscale Dilated Convolution Model for Generalizable Arrhythmia Classification from ECG Signals
Leihan Gao, 吴植强 WU Zhiqiang, Yuting Li et al. Modelling—International Open Access Journal of Modelling in Engineering Science, 2026. Cites: paper

DEEP LEARNING FOR ECG INTERPRETATION: A SYSTEMATIC REVIEW OF MODEL ARCHITECTURES, TRANSFER LEARNING, AND POPULATION BIAS IN AFRICAN CONTEXTS
Zainab Hussain Jibril, Bilkisu Larai Muhammad-Bello, Aliyu Sulaiman Muhammed. Science World Journal, 2026. Cites: paper

QBioBench: benchmark of quantum machine learning for peripheral biosignals on real hardware
Marek Sokol, Jan Hejda, Petr Volf et al. Quantum Science and Technology, 2026. Cites: paper

Repeat variation and definition dependence of ECG/VCG markers: an exploratory audit of one implementation (LoopLens 10.1)
Leo Probst. Research Square, 2026. Cites: dataset, paper

DEFT: Dual-domain multi-resolution fusion transformer for non-stationary medical time series
Lin Guo, Wozhong Chen, Changqing Cheng et al. Information Fusion, 2026. Cites: paper

Physiology-augmented deep representations improve cross-database electrocardiogram beat classification under unseen-domain shift
Mujahid Shahid¹, Oliver Konyo. Research Square, 2026. Cites: paper

Teaching an ECG model where to look does not make it more robust to missing leads: a pre-registered comparison of guideline-based attention guidance with random lead masking
Mohamed Nour Bou Ali, Mohamed Mahmoud. medRxiv, 2026. Cites: dataset, paper

Deep learning-based ECG classification using graph convolutional networks and time-frequency decomposition
Siredj Eddine Benaichouche, Thomas Hilbel, Ailís Ceara Haney et al. Applied Soft Computing, 2026. Cites: paper

Deep Learning-driven ECG Signal Interpretation for Predictive Cardiac Health Monitoring in Personalized Medical Care Systems
Mahmood Hameed Majeed, Mohammed H. Dosh, Safa L. Kailan et al. International journal of intelligent engineering and systems, 2026. Cites: dataset

Time Reversal Fusion for ECG Reconstruction Before and After Adversarial Fine-Tuning
Jiaqi Liu, Kwok Tai Chui, Lap–Kei Lee et al. Bioengineering, 2026. Cites: paper

Homeostasis-Inspired, Quality-Adaptive Preprocessing for Multi-Label ECG Diagnosis: A Pre-Registered Multi-Objective Evolutionary Study with Negative Findings and Falsifiable Design Principles
Hüseyin Yanık. Biomimetics, 2026. Cites: paper

Improved interpretability and feature attribution for hybrid–AI ECG models by controlling metadata leakage and feature interactions
Lennert Bontinck, Karel Fonteyn, Antônio H. Ribeiro et al. Expert Systems with Applications, 2026. Cites: dataset, paper

JEPA-Mamba: a self-supervised joint-embedding architecture with bidirectional Mamba for ECG representation learning
Luyang Dai, Yuwen Li. Biomedical Engineering Letters, 2026. Cites: paper

Directional discordance between a deployed commercial 12-lead ECG interpretation algorithm and expert cardiologists, and its distribution by sex and age: a post-deployment audit using PTB-XL+
Kaihui Du, Xiao Luo, Qibao Zhou. Physiological Measurement, 2026. Cites: dataset, paper

Per-class conformal risk control for multi-label ECG classification: achieving clinically-justified false negative rate guarantees
Oussama El Allam, Mohamed Hamlich. Physiological Measurement, 2026. Cites: dataset

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