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

RDiffGAN-ECG: High-quality specific R-peaks conditional ECG generation using denoising diffusion generative adversarial network with state space models
Mingjun Lin, Xin Zhang, Yong Hong et al. Biomedical Signal Processing and Control, 2025. Cites: paper

A deep learning ECG model for localization of occlusion myocardial infarction
Stefan Gustafsson, Antônio H. Ribeiro, Daniel Gedon et al. medRxiv, 2025. Cites: paper

Entropy, Assessed by Homeostatic Dysregulation on Electrocardiograms Predicts Fracture and Mortality
Namki Hong, Sang Wouk Cho, Jungheui Kim et al. Aging Cell, 2025. Cites: paper

Arrhythmia Classification with Single-Channel Features Extracted from “A Large-Scale 12-Lead ECG Database for Arrhythmia Study”
Monica Fira, Liviu Goraş, Lucian Iulian Fira et al. Sensors, 2025. Cites: paper

MST-DGCN: Multi-Scale Temporal–Dynamic Graph Convolutional with Orthogonal Gate for Imbalanced Multi-Label ECG Arrhythmia Classification
Jie Chen, Mingfeng Jiang, Xiaoyu He et al. AI, 2025. Cites: paper

Autoencoders for Anomaly Detection in ECG Signals
Snehal Rathi, Vijayshri Nitin Khedkar, Soham Gite et al. International Conference on Innovative Mechanisms for Industry Applications, 2025. Cites: paper

Enhanced ECG Beat Classification using A Hybrid Transformer-CNN Model on the PTB-Xl Dataset
Rakesh Ramakrishna Pai, Ranjith Bhat. International Conference on Innovative Mechanisms for Industry Applications, 2025. Cites: paper

Hybrid CNN-GRU-Attention Network for ECG Signal Classification and Real-Time Diagnosis in Edge Healthcare Systems
Gaurav Kumar, Neeraj Varshney. International Conference on Electronics and Computing, Communication Networking Automation Technologies (ICEC2NT), 2025. Cites: paper

An intelligent diagnosis method for cardiovascular diseases based on the CNN-CBAM-GRU model
Zheng Gong, Yufeng Chen, Shirong Lin et al. PLoS ONE, 2025. Cites: paper

Computational modelling of the impact of anatomical changes on ECGs in left ventricular hypertrophy
Mohammadreza Kariman, Karli K. Gillette, Matthias A. F. Gsell et al. The Journal of Physiology, 2025. Cites: paper

Spatial-temporal hierarchical decoupled masked autoencoder: A self-supervised learning framework for electrocardiogram
Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian et al. Expert Systems with Applications, 2025. Cites: paper

Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability
Alexander Hammer, Marc Goettling, Hagen Malberg et al. npj Artificial Intelligence, 2025. Cites: dataset, paper

CrossLGNet: Enhanced feature extraction for magnetocardiography via local prediction and global comparison self-supervised learning
Ruizhe Wang, Jiaojiao Pang, Dong Xu et al. Expert Systems with Applications, 2025. Cites: paper

Self-supervised contrastive learning achieves 12-lead ECG classification
Ke Ma, Tao Zhang, Hengyuan Zhang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Fusion-Based Deep Learning Ensemble on MIT-BIH and PTB-XL ECG Databases for Enhanced Cardiac Diagnosis
Alireza Rahi. medRxiv, 2025. Cites: paper

An Intelligent and Scalable Framework for Early Heart Disease Detection Using Multimodal Health Data and Optimized Deep Learning Strategies
Ammar Kareem Alazzawi, Hasanain Alharbi, Hussein A. A. Al-Khamees et al. SN Computer Science, 2025. Cites: paper

From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab et al. Biomedical Engineering Letters, 2025. Cites: paper

Graph-enhanced deep learning for ECG arrhythmia detection: An integration of CNN-GNN-BiLSTM approach
Piyush Mahajan, Amit Kaul. Medical Engineering & Physics, 2025. Cites: paper

Integrating Manual ECG Feature Extraction with Ensemble Learning for Myocardial Infarction Diagnosis
Wencheng Liu, Yu‐Lan Liu, Da‐Wei Chang et al. Journal of Medical Sciences, 2025. Cites: paper

Advancing electrocardiogram synthesis: Analyzing key metrics for enhanced evaluation
Wei Wang, Jing Ma, Kuanquan Wang et al. Computers in Biology and Medicine, 2025. Cites: paper

Challenges of identification and anonymity in time-continuous data from medical environments
F. Hammer, Thorsten Strufe. Frontiers in Digital Health, 2025. Cites: paper

Implicit Graph-Based Cardiovascular Disease Detection Using Cardiac Axis Deviation in Reduced-Lead ECG
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Sensors Letters, 2025. Cites: paper

Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram
Aleksandar Lazović, Vladimir A. Atanasoski, Predrag R. Tadic et al. Scientific Data, 2025. Cites: dataset, paper

Machine Learning and Artificial Intelligence-Based Clinical Decision Support for Modern Hematology
Cindy Zhang, Barbara D. Lam, Fabienne McClanahan Lucas et al. Clinics in Laboratory Medicine, 2025. Cites: paper

Lead Analysis for the Classification of Multi-Label Cardiovascular Diseases and Neural Network Architecture Design
Tao Yang, Chao-Xin Xie, Hui-Ming Huang et al. Electronics, 2025. Cites: paper

Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data
Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin et al. Machine Learning, 2025. Cites: paper

GAEA-Net: Generating Activity-Enriched Abnormal ECGs via Adversarial Network
Liuqing Chen, Shuhong Xiao, Yujie Zang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Heart Disease Classification using FusionNet to Extract SpatioTemporal Features from ECG Signal
Thi-Oanh Ha, Hieyong Jeong, Huong-Giang Doan. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2025. Cites: paper

OrganoSense: Neural Biosignal Processing in the Sensor Using Organic Devices
Sepehr Tabrizchi, Neeraj Solanki, Ali Shafiee Sarvestani et al. IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2025. Cites: paper

Privacy-preserving ECG data collection for arrhythmia classification
Hyubjin Lee, Minsoo Kim, Yon Dohn Chung. Biomedical Signal Processing and Control, 2025. Cites: paper

The Multi-Branch Deep-Learning-Based Approach to Heart Dysfunction Classification
Krzysztof Hryniów, Bartosz Puszkarski, Marcin Iwanowski C. Applied Sciences, 2025. Cites: paper

A general aggregation federated learning intervention algorithm based on do-calculus
Zhenyuan Huang, Wenzhong Tang, Hui Zhang et al. Pattern Recognition, 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: dataset

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

Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang, Kanghui Ning, Zijie Pan et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. Cites: paper

Self-supervised pre-training with joint-embedding predictive architecture boosts ECG classification performance
Kuba Weimann, Tim Conrad. Computers in Biology and Medicine, 2025. Cites: paper

Efficient Myocardial Infarction Detection Using Hybrid CNN-BiLSTM with Depthwise Separable Convolution on ECG Signals
Fiky Anggara, Satria Mandala. 2025. Cites: paper

A Novel Noise-Resilient and Explainable Machine Learning Framework for Accurate and Robust ECG-Based Heart Disease Diagnosis
Abdullah Alhalabi, Saleh I. Alzahrani, Lamia Al Saikhan et al. medRxiv, 2025. Cites: dataset

Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour et al. Medical Image Analysis, 2025. Cites: paper

SLM-MEEF: ECG Report Generation based on Small Language Model and Multi-Expert Ensemble Framework
Fei Hu, Yihai Fang, Wenjie Si et al. Chinese Control Conference (CCC), 2025. Cites: paper

Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection
Huayu Li, Zhengxiao He, Xiwen Chen et al. Journal of Healthcare Informatics Research, 2025. Cites: paper

ECG Statement Classification and Lead Reconstruction Using CNN-Based Models
Kiriaki J. Rajotte, Bashima Islam, Xinming Huang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

An Improvement on Class-Imbalanced Cardiovascular Disease Classification using Spectrogram-based 12-Lead ECG
Phuong Linh Nguyen, Hoang Bach Vu, Minh Khang Trinh et al. International Conference on Health Science and Technology (ICHST), 2025. Cites: paper

Improving age prediction using ECG signals: Insights into lifestyle impacts
Jiahao Wang, Yan Li, Yaqi Liu et al. Journal of Electrocardiology, 2025. Cites: paper

A Deep Learning Approach for Affect Detection: Does Biometric Data Improve Fairness?
Dayan Eam, Young‐Bae Ko. International Conference on Smart Applications, Communications and Networking (SmartNets), 2025. Cites: paper

An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM
Zhiyuan Li, Yuanyuan Tian, Yanrui Jin et al. Knowledge-Based Systems, 2025. Cites: paper

Flexible dual-gated synaptic transistor for integrated physiological signal recognition
Muhammad Irfan Sadiq, Muhammad Zahid, Jiaying Gong et al. Applied Physics Letters, 2025. Cites: paper

Adapting 12-Lead ECG AI Model to 1-Lead Smart Watches for Diagnosis in Clinical Heart Failure Patients
Philip Hempel, Tabea F. A. Steinbrinker, Lennart Graf et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

A Transformer-Based Framework with Dynamic Multiscale Attention Mechanisms for 12-Lead ECG Synthesis
Tanay Chitlur, Nagabhushan Chitlur, Ajay Tripuraneni. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Classifier-Guided Diffusion Model for Generating Disease-Specific ECG Data: A Case Pilot Study on Inferior Myocardial Infarction
Hongtao Chen, Shota Kato, Kana Eguchi et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Cited by