Publications citing PTB-XL+, a comprehensive electrocardiographic feature dataset v1.0.1

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

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

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

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

Three-Dimensional Geometric Deformation of the 12-Lead Electrocardiogram in Bundle Branch Block
Patrick Dumitrescu, Igor Antonio Narciso, Johnny Cobas Hernandez et al. Cureus, 2026. Cites: paper

Why blinding sex is not enough: equitable discrimination, unequal operation in machine-learning detection of myocardial infarction from the ECG
Guilherme Cesar da Costa, Jose Gregorio Valero Rodriguez, Giulia fernandes de Oliveira da Costa et al. Journal of Electrocardiology, 2026. Cites: paper

Calibration and processing sensitivity of time-embedded three-dimensional electrocardiographic descriptors: a two-dataset benchmark
Alejandro Jesús Bermejo Valdés. medRxiv, 2026. Cites: dataset, paper

Label-efficient cross-population transfer learning for electrocardiographic risk stratification: evaluation across German, Chinese and US cohorts
Yan Wang, Yan Lu. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

A deep learning framework for arrhythmia classification: mitigating data leakage and class imbalance in ECG analysis
Sudeshna Sani, Dipra Mitra, Pallab Banerjee et al. Journal of Medical Engineering & Technology, 2026. Cites: paper

Implement and Accelerate a Deep RNN with BiLSTM based ECG Signal Classification for Heart Disease prediction in Internet of Things Network
Pranita Dingore, Manoj Patil, Vivek Parashar Pandey et al. IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET), 2026. Cites: paper

A clinical decision support system for ECG diagnosis: Surpassing commercial standards through dual-stream feature fusion
ChuelWon Lee. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

Resource-aware continuous ECG monitoring with selective cloud escalation and exact decision reuse
Mohammed Chaouqi, Latifa Doudach, Achraf Benba. Biomedical Physics & Engineering Express, 2026. Cites: paper

Системный анализ трёхэтапной схемы сегментационного предобучения для выявления признаков инфаркта миокарда по электрокардиограмме в 12 отведениях
Сергей Анатольевич Атарщиков, Максим Юрьевич Орт, Конорева Наталья Анатольевна et al. Clinical and Fundamental Medicine, 2026. Cites: paper

Explainable electrocardiogram interpretation using deep learning–based semantic segmentation
Bauke K. O. Arends, Bas B.S. Schots, Parmenion Koutsogeorgos et al. European Heart Journal - Digital Health, 2026. Cites: paper

Artificial intelligence-based ECG reconstruction error as a continuous predictor of all-cause mortality: a multi-cohort retrospective validation study
Angus Nicolson, Samuel Pröll, Riccardo Lunelli et al. medRxiv, 2026. Cites: paper

Multicenter real world validation of on device single lead ECG parameters for remote cardiac assessment
Sumei Fan, Deyun Zhang, Yue Wang et al. npj Cardiovascular Health, 2026. Cites: paper

ECG-image-database: large-scale paired ECG images and time-series with real-world artifacts; a foundation for computerized ECG digitization and analysis
Matthew A. Reyna, Deepanshi Deepanshi, James Tyler Weigle et al. Physiological Measurement, 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

Self-tuned healthy homogeneous core: Addressing heterogeneities in biomedical datasets
Abhidnya Patharkar, Yutong Wen, Jiajing Huang et al. Artificial Intelligence in Medicine, 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

Screening for Rheumatic Heart Disease in Asymptomatic Children using Machine Learning from Electrocardiograms
Amsalu Tomas Chuma, Chunzhuo Wang, Melkamu Hunegnaw Asmare et al. medRxiv, 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

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

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

Real-Time ECG Image Classification Using GA–PSO Optimized CNN-LSTM Model Trained on PTB-XL Dataset
S Selvakumari, M. Durairaj. Indian Journal of Science and Technology, 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

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

Precise peak width estimation for solving key challenges in biosignal and spectral analysis
Cristina Rueda, Itziar Fernández, Christian Canedo et al. Scientific Reports, 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

A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
Ciaran A. Bench, Oskar Pfeffer, Vivek Desai et al. Machine Learning Health, 2026. Cites: paper

AI-Detected Asymptomatic Atrial Fibrillation and Risk of Incident Ischemic Stroke and Cardiovascular Events: A UK Biobank Study
Arjun Kishor Butani, Zareen M. Farukhi, David Brüggemann et al. medRxiv, 2026. Cites: paper

ECGNextFormer: A Lightweight, Scalable, and Explainable Architecture for Estimating Cardiovascular Well-Being From Electrocardiograms
Mohammed Yusuf Ansari, Md. Rabiul Islam, Khalid A. Qaraqe et al. IEEE Transactions on Artificial Intelligence, 2026. Cites: paper

A Cognitive Risk Taxonomy for AI-Assisted Emergency ECG Interpretation: Mapping Algorithmic Error to Physician Bias Pathways
Al-Baraa Dabaliz, Al-Awwab M. Dabaliz, Mosab Hawarey. 2026. Cites: paper

RWT-Net: A hybrid ResNet-wavelet-transformer for early detection of left ventricular hypertrophy
Hoang Huu To Nguyen, Phuong Huu Nghia Le, Lam Mai et al. TELKOMNIKA (Telecommunication Computing Electronics and Control), 2026. Cites: paper

Real-time ECG-based detection of cardiovascular diseases using balanced and interpretable machine learning approaches
Imteyaz Hussain khan, Amar Singh, Hilal Rather. Physical and Engineering Sciences in Medicine, 2026. Cites: paper

Evaluation of Raw Signal and Feature-Based Deep Learning Models for Multi-Label ECG Diagnosis on PTB-XL
Calvin Holloway, Lakshmi Babu Saheer, Mahdi Maktab Dar. Lecture notes in computer science, 2025. Cites: paper

Deep Learning Model and Fuzzy C-Means for Cardiac Disease Detection on Electrocardiogram Signal
Quoc-Thinh Tran, Hoang-Ha Nguyen, Anh-Cang Phan. Communications in computer and information science, 2025. Cites: paper

Explainable AI for automatic heart disease diagnosis using 3DFMMecg features: A novel ECG-based approach
Adolfo Fernández-Santamónica, Enrique Hortal, Yolanda Larriba et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Artificial Intelligence in Cardiac Electrophysiology: A Clinically Oriented Review with Engineering Primers
Giovanni Canino, Assunta Di Costanzo, Nadia Salerno et al. Bioengineering, 2025. Cites: paper

Myocardial Infarction Classification Based on Electrocardiogram Signals using Principal Component Analysis with Support Vector Machine and Adaboost
Aryanthi Alfi Farhani, Tito Waluyo Purboyo, Dziban Naufal. IEEE International Symposium on Future Telecommunication Technologies (SOFTT), 2025. Cites: paper

Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion
Mengxiao Wang, Yuanyuan Tian, Zhiyuan Li et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset
Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed et al. Diagnostics, 2025. Cites: paper

Enhancing automatic multilabel diagnosis of electrocardiogram signals: A masked transformer approach
Ya Zhou, Xiaolin Diao, Yanni Huo et al. Computers in Biology and Medicine, 2025. Cites: paper

Towards Automated CVD Diagnosis: Deep Learning-based ECG Feature Extraction*
Youssif Abuzied, Hassan Abd-Eltawab, Abdelrhman Gaber et al. IEEE Symposium on Computers and Communications (ISCC), 2025. Cites: paper

Classificação de Doença Arterial Coronariana através de redes neurais profundas
Diogo Casal Ferreira, Alexei Manso Correa Machado. 2025. Cites: paper

A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions
Mohammed Yusuf Ansari, Mohammed Yaqoob, Mohammed Ishaq et al. Artificial Intelligence Review, 2025. Cites: paper

Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization
Feng-Yi Guo, Ying An, Hulin Kuang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction
Chen Chen, Lei Li, Marcel Beetz et al. IEEE Transactions on Big Data, 2025. Cites: paper

Dual-View Explainable AI for 12-Lead ECG With OpenMP-Accelerated Postprocessing and External Calibration
Bilgin Demir, Ervin Domazet. Annals of DAAAM for ... & proceedings of the ... International DAAAM Symposium, 2025. Cites: paper

ECGXtract: Deep Learning-based ECG Feature Extraction for Automated CVD Diagnosis
Youssif Abuzied, Hassan Abd-Eltawab, Abdelrhman Gaber et al. SSRN Electronic Journal, 2025. Cites: paper

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