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

Digitizing Analog ECGs: A Deep Learning Pipeline for Converting Historical Records into High-Quality Digital Signals
Sahar Askari, Somayeh Afrasiabi. 2025. Cites: paper

MLATANet: a neural network based on multi-scale lead attention and temporal attention for the diagnosis of arrhythmia types
Yufei Zhao, Mengfei Dou, Xinwu Yang. Signal Image and Video Processing, 2025. Cites: paper

ECG-STAR: Spatio-temporal attention residual networks for multi-label ECG abnormality classification
Chien‐Liang Liu, Bin Xiao, Cheng-Feng Tsai. Information Sciences, 2025. Cites: paper

Low-Memory-Footprint CNN-Based Biomedical Signal Processing for Wearable Devices
Zahra Kokhazad, Dimitrios Gkountelos, Milad Kokhazadeh et al. IoT, 2025. Cites: paper

A performance evaluation of silver nanorods PDMS flexible dry electrodes for electrocardiogram monitoring
C. M. Vidhya, Ghanshyam Kumar, Yogita Maithani et al. Scientific Reports, 2025. Cites: paper

Training neural networks on data sources with unknown reliability
Alexander Capstick, Francesca Palermo, Tianyu Cui et al. Information Fusion, 2025. Cites: paper

Graph Anomaly Detection in Time Series: A Survey
Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper

DAMBLO: Improving arrhythmia classification with plug-and-play dual attention-based multiscale feature learning blocke
Tianming Zhuang, Zhiguang Qin, Li You et al. Expert Systems with Applications, 2025. Cites: paper

Frequency-Awared Mamba for Few-Shot ECG Long-Sequence Classification
Shuai Ma, Jinrong He, Gao Yue. Chinese Control and Decision Conference (CCDC), 2025. Cites: paper

GenECG: a synthetic image-based ECG dataset to augment artificial intelligence-enhanced algorithm development
Neil Bodagh, Kyaw Soe Tun, Adam Barton et al. BMJ Health & Care Informatics, 2025. Cites: paper

Evaluating the Performance of DenseNet in ECG Report Automation
Gazi Husain, Ayesha Siddiqua, Milan Toma. Electronics, 2025. Cites: paper

Multimodal Time-Frequency Pseudo Anomalies for Atrial Fibrillation Anomaly Detection
Haoyi Fan, Han Han, Huihui Chang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Multi Classification of ECG Signals based on Convolution and Residual Neural Networks for Effective Forecasting of Cardiovascular Disease
Kamepalli S. L. Prasanna, Nagendra Panini Challa, Nagaraju Jajam et al. International Research Journal of Multidisciplinary Technovation, 2025. Cites: paper

Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning
Oriana Presacan, Alexandru Dorobanțiu, Jonas Lynggaard Isaksen et al. Communications Medicine, 2025. Cites: paper

Reconstruction of 12-lead ECG: a review of algorithms
Ekenedirichukwu Nelson Obianom, G. André Ng, Xin Li. Frontiers in Physiology, 2025. Cites: paper

Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals
Yunendah Nur Fuadah, Ki Moo Lim. Biomedical Engineering Letters, 2025. Cites: paper

Cross-modal prototype based multimodal federated learning under severely missing modality
Huy Q. Le, Chu Myaet Thwal, Yu Qiao et al. Information Fusion, 2025. Cites: paper

Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes
Wen‐Yu Lin, Chin Lin, Wencheng Liu et al. Journal of Medical Systems, 2025. Cites: paper

Deep generative models for physiological signals: A systematic literature review
Nour Neifar, Afef Mdhaffar, Achraf Ben Hamadou et al. Artificial Intelligence in Medicine, 2025. Cites: paper

Deep Learning for Early Detection of Cardiac Diseases: RNN Analysis of PTB XL+ Data
Tanishq Soni, Syed Nawaz Pasha. International Conference on Advancement in Computation & Computer Technologies (InCACCT), 2025. Cites: paper

Integrating learnable expert knowledge into deep learning-based multi-label ECG classification
Qiao Xiao, Yue Li, Khuan Lee et al. Measurement Science and Technology, 2025. Cites: paper

Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis
Wei Tang, Kangning Cui, Raymond H. Chan et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper

FusionGCNN: An IoT-Based Novel Spatiotemporal Graph Convolutional Network for ECG Arrhythmia Detection
Saeed Iqbal, Xiaopin Zhong, Musaed A. Alhussein et al. IEEE Internet of Things Journal, 2025. Cites: paper

Comparison of Bioelectric Signals and Their Applications in Artificial Intelligence: A Review
Juarez-Castro Flavio Alfonso, Toledo-Rios Juan Salvador, Marco Antonio Aceves-Fernández et al. Computers, 2025. Cites: paper

Enhanced electrocardiogram classification using Gramian angular field transformation with multi-lead analysis and segmentation techniques
Gi-Won Yoon, Segyeong Joo. MethodsX, 2025. Cites: paper

Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals
Maximilian Kapsecker, Stephan Jonas. PLOS Digital Health, 2025. Cites: dataset, paper

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion
Alex Lence, Federica Granese, Ahmad Fall et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. Cites: paper

Forecasting Multi-Level Deep Learning Autoencoder Architecture (MDLAA) for Parametric Prediction based on Convolutional Neural Networks
Nasir Ayub, Nadeem Sarwar, Arshad Ali et al. Engineering Technology & Applied Science Research, 2025. Cites: paper

Deep learning for electrocardiogram interpretation: Bench to bedside
Bas B.S. Schots, Camila S. Pizarro, Bauke K. O. Arends et al. European Journal of Clinical Investigation, 2025. Cites: paper

Physically motivated projection of the electrocardiogram—A feasibility study
Sebastian Wildowicz, T. Gradowski, Paulina Figura et al. Journal of Applied Biomedicine, 2025. Cites: paper

Fusion of multi-scale feature extraction and adaptive multi-channel graph neural network for 12-lead ECG classification
Teng Chen, Yumei Ma, Zhenkuan Pan et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

MDD2DG-IRA: Multivariate Degree Distribution to Dynamic Graph With Inter-Channel Relevance Attention Mechanism for Multi-Channel Myocardial Infarction ECG Analysis
Xiaodong Yang, Guangkang Jiang, Zhengping Zhu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

CLIP in medical imaging: A survey
Zihao Zhao, Yuxiao Liu, Han Wu et al. Medical Image Analysis, 2025. Cites: paper

Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection
Ian DeTore, John Samsundar, Cleon E. Davis. Conference on Information Sciences and Systems, 2025. Cites: paper

ECG-Based Biometric Recognition: A Survey of Methods and Databases
David Meltzer, David Luengo. Sensors, 2025. Cites: paper

Automated detection of arrhythmias using a novel interpretable feature set extracted from 12-lead electrocardiogram
Jibin Joy Kolliyil, Melissa C. Brindise. Computers in Biology and Medicine, 2025. Cites: paper

CLHi-MTS: A Contrastive Learning-Based Hierarchical Framework for Masked Medical Time-Series Modeling
Ziyang Cheng, Shurong Sheng, Xiongfei Wang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Dynamic Prototype Rehearsal for Continual ECG Arrhythmia Detection
Sana Rahmani, Reetam Chatterjee, Ali Etemad et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
Jialu Tang, Tong Xia, Lu Yuan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

KGD-GNN: A Knowledge-Guided Graph Neural Network for Myocardial Infarction Localization via 12-lead ECG
Lin Guo, Yingqi Wu, Nan Ma et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Label Dependency Aware Loss for Reliable Multi-Label Medical Image Classification
Aditya Shankar Pal, Arkapal Panda, Utpal Garain. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

MSECG: Incorporating Mamba for Robust and Efficient ECG Super-Resolution
Jie Lin, I Chiu, Kuan-Chen Wang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Self-Trained Model for ECG Complex Delineation
Aram Avetisyan, Nikolas Khachaturov, Ariana Armenovna Asatryan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper

Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks
Shivalila Hangaragi, Nizampatnam Neelima, Katarina Jegdić et al. Scientific Reports, 2025. Cites: paper

A ConvLSTM Framework for Conduction Disturbance Classification and Risk Identification
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. National Conference on Communications, 2025. Cites: paper

High-performance classification of STEMI and NSTEMI by automatic feature selection from ECG signals: a triple approach
Fatma Lati̇foğlu, Semra İçer, Ayşegül Güven et al. Signal Image and Video Processing, 2025. Cites: paper

A Review of Racial Differences and Disparities in ECG
Jianwei Zheng, Chizobam Ani, Islam Abudayyeh et al. International Journal of Environmental Research and Public Health, 2025. Cites: paper

Deep learning and electrocardiography: systematic review of current techniques in cardiovascular disease diagnosis and management
Zhenyan Wu, Caixia Guo. BioMedical Engineering OnLine, 2025. Cites: paper

Semi-supervised multi-label cardiovascular diseases detection via contrastive learning and label inference
Ning Wang, Haiyan Wang, Panpan Feng et al. Knowledge-Based Systems, 2025. Cites: paper

Enhancing Multilabel ECG Classification via Task-Guided Lead Correlations in Internet of Medical Things
Xiaoyan Yuan, Wei William Wang, Junxin Chen et al. IEEE Internet of Things Journal, 2025. Cites: paper

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