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

Graph structure based data augmentation method
Kyung Geun Kim, Byeong Tak Lee. Biomedical Engineering Letters, 2024. Cites: paper

Um transformer hierárquico para classificação e diagnóstico de eletrocardiograma
Pedro Robles Dutenhefner, Tércia Maria Ribeiro Lima Rezende, Gisele Lobo Pappa et al. Journal of Health Informatics, 2024. Cites: paper

HuBERT-ECG as a self-supervised foundation model for broad and scalable cardiac applications
Edoardo Coppola, Mattia Savardi, Mauro Massussi et al. medRxiv, 2024. Cites: paper

A Domain Data-Driven Metric to Improve Traditional Visualization and Interaction with ECG Large Databases
Jean C. Polo, Juliana V. Castilla, Juan Camilo Torres et al. International Symposium on Medical Information Processing and Analysis (SIPAIM), 2024. Cites: paper

Combined Self-Supervised Learning for ECG Classification Based on the Classification Token
Doga Gündüzalp, Congyu Zou. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

MACRO: A Multi-Head Attentional Convolutional Recurrent Network for the Classification of Co-Occurring Diseases in 12-Lead ECGs
Vanessa Borst, Robert Leppich, Samuel Kounev. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

Electrocardiogram sampling frequency for the optimal performance of complexity analysis and machine learning models: Discrimination between patients with and without paroxysmal atrial fibrillation using sinus rhythm electrocardiograms
Steven Creasy, Vadim Alexeenko, Gregory Y.H. Lip et al. Heart Rhythm O2, 2024. Cites: paper

The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review
Julia Handra, Hannah James, Ashery Mbilinyi et al. JMIR Cardio, 2024. Cites: paper

Towards Reliable ECG Analysis: Addressing Validation Gaps in the Electrocardiographic R-Peak Detection
Syed Talha Abid Ali, Sebin Kim, Young‐Joon Kim. Applied Sciences, 2024. Cites: paper

Direct Lead Assignment: A Simple and Scalable Contrastive Learning Method for ECG and Its IoMT Applications
Wenhan Liu, Shurong Pan, Sheng Chang et al. IEEE Internet of Things Journal, 2024. Cites: paper

Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Namjun Cho, Se-Jin Ahn et al. The Korean Journal of Internal Medicine, 2024. Cites: paper

A Survey of Transformer Enabled Time Series Synthesis
Alexander Sommers, Logan Cummins, Sudip Mittal et al. IEEE International Conference on Collaboration and Internet Computing (CIC), 2024. Cites: paper

Cardiac Condition Classification Using 12-Lead ECG Recordings
Dorsa EPMoghaddam, Mehdi Razavi, Behnaam Aazhang. Asilomar Conference on Signals, Systems and Computers (ACSSC), 2024. Cites: paper

A Dual-path Interactive ECG Denoising Algorithm
Xiuxin Zhang, Meng Chen, Yongjian Li et al. International Congress on Image and Signal Processing (CISP), 2024. Cites: paper

A dual-branch convolutional neural network with domain-informed attention for arrhythmia classification of 12-lead electrocardiograms
Rucheng Jiang, Bin Fu, Renfa Li et al. Engineering Applications of Artificial Intelligence, 2024. Cites: paper

Solving the Inverse Problem of Electrocardiography for Cardiac Digital Twins: A Survey
Lei Li, Julià Camps, Blanca Rodríguez et al. IEEE Reviews in Biomedical Engineering, 2024. Cites: paper

A Fully-Automated Paper ECG Digitisation Algorithm for e-Health Applications
Tao Wang, Yiquan Wang, Zhisen Chang et al. International Conference on Wireless Communications and Signal Processing (WCSP), 2024. Cites: paper

An Embedded System for Real-Time Atrial Fibrillation Diagnosis Using a Multimodal Approach to ECG Data
Monalisa Akter, Nayeema Islam, Abdul Ahad et al. Eng—Advances in Engineering, 2024. Cites: paper

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization
Manh Duong Nguyen, Trung Thành Nguyễn, Huy‐Hieu Pham et al. IEEE International Symposium on Network Computing and Applications (NCA), 2024. Cites: paper

Empirical investigation of multi-source cross-validation in clinical ECG classification
Tuija Leinonen, David Wong, Antti Vasankari et al. Computers in Biology and Medicine, 2024. Cites: paper

ECG Monitoring System Based on Multi-Scale Convolutional Neural Network
Liyuan Zhang, Dmitry O. Budanov. International Conference on Electrical Engineering and Photonics (EExPolytech), 2024. Cites: paper

ECG Spectrogram and Modified InceptionNet for Cardiovascular Disease Classification
Việt Dũng Nguyễn, Thu-Thao Dao-Le. International Conference on Advanced Technologies for Communications, 2024. Cites: paper

Enhancing Explainability of Deep Learning-Based ECG Diagnosis Using Large Language Models
Shi Wu, Jianlong J. Zhou, Yifei Dong et al. International Conference on Advances in Artificial Intelligence (ICAAI), 2024. Cites: paper

Detection of Acute Myocardial Infarction Using Deep Learning on Lead-I ECG Data
Parmida Davarmanesh, Qian Lin, Irene Tenison et al. Wearable and Implantable Body Sensor Networks, 2024. Cites: paper

Heart Block Identification from 12-Lead ECG: Exploring the Generalizability of Self-Supervised AI
Teya S. Bergamaschi, Collin M. Stultz, Ridwan Alam. Wearable and Implantable Body Sensor Networks, 2024. Cites: paper

Split Without a Leak: Reducing Privacy Leakage in Split Learning
Khoa Nguyen, Tanveer Khan, Antonis Michalas. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2024. Cites: paper

A Novel WTS-EDC Network for Multi-Source ECG Signal Classification
Ankur Rana, Vivek Kumar, Anish Gupta. Journal of The Institution of Engineers (India) Series B, 2024. Cites: paper

Bootstrap each lead’s latent: A novel method for self-supervised learning of multilead electrocardiograms
Wenhan Liu, Shurong Pan, Zhoutong Li et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Efficient CORDIC-Based Activation Functions for RNN Acceleration on FPGAs
Wan Shen, Junye Jiang, Minghan Li et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper

The art of selecting the ECG input in neural networks to classify heart diseases: a dual focus on maximizing information and reducing redundancy
Elisa Ramírez, Samuel Ruipérez-Campillo, Rubén Casado-Arroyo et al. Frontiers in Physiology, 2024. Cites: paper

Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms
Yingyu Yang, Marie Rocher, Pamela Moceri et al. Lecture notes in computer science, 2024. Cites: paper

Unveiling AI-ECG using Generative Counterfactual XAI Framework
Jong-Hwan Jang, Yong‐Yeon Jo, Sora Kang et al. medRxiv, 2024. Cites: paper

Visual interpretation of deep learning model in ECG classification: A comprehensive evaluation of feature attribution methods
Jangwon Suh, Jimyeong Kim, Soonil Kwon et al. Computers in Biology and Medicine, 2024. Cites: paper

Cformer: A Hybrid CNN-Transformer Framework for 12-Lead ECG Denoising
Yewei Gan, Yi Xie, Mingyue Cui et al. International Conference on Electronic Information Engineering and Computer Science (EIECS), 2024. Cites: paper

Detecting Wolff-Parkinson-White from Lead-I ECG Using Transfer Learning and Wavelets
Shreyas Bharadwaj, Sarah Altman, Jessica J. Wang et al. medRxiv, 2024. Cites: paper

Deep residual 2D convolutional neural network for cardiovascular disease classification
Haneen A. Elyamani, Mohamed Ali Salem, Farid Melgani et al. Scientific Reports, 2024. Cites: dataset, paper

Four-Channel ECG as a Single Source for Early Diagnosis of Cardiac Hypertrophy and Dilation — A Deep Learning Approach
Hongling Zhu, Yinuo Jiang, Cheng Cheng et al. NEJM AI, 2024. Cites: paper

Lead-fusion Barlow twins: A fused self-supervised learning method for multi-lead electrocardiograms
Wenhan Liu, Shurong Pan, Zhoutong Li et al. Information Fusion, 2024. Cites: paper

Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle et al. Information Fusion, 2024. Cites: paper

Machine Learning Approaches for Automated Diagnosis of Cardiovascular Diseases: A Review of Electrocardiogram Data Applications
Abdelhakim Elmassaoudi, Samira Douzi, Mounia Abık. Cardiology in Review, 2024. Cites: paper

3DECG-Net: ECG fusion network for multi-label cardiac arrhythmia detection
Alireza Sadeghi, Farshid Hajati, Alireza Rezaee et al. Computers in Biology and Medicine, 2024. Cites: paper

A coordinated adaptive multiscale enhanced spatio-temporal fusion network for multi-lead electrocardiogram arrhythmia detection
Zicong Yang, Aitong Jin, Yu Li et al. Scientific Reports, 2024. Cites: paper

Electrocardiogram Signal Compression Using Deep Convolutional Autoencoder with Constant Error and Flexible Compression Rate
Tahir Bekiryazıcı, Gürkan Aydemır, Hakan Gürkan. IRBM, 2024. Cites: paper

Conv-RGNN: An efficient Convolutional Residual Graph Neural Network for ECG classification
Yupeng Qiang, Xunde Dong, Xiuling Liu et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Ten quick tips for electrocardiogram (ECG) signal processing
Davide Chicco, Angeliki-Ιlektra Karaiskou, Maarten De Vos. PeerJ Computer Science, 2024. Cites: paper

Harnessing Temporal Information for Efficient Edge AI
Max Sponner, Lorenzo Servadei, Bernd Waschneck et al. International Conference on Fog and Mobile Edge Computing (FMEC), 2024. Cites: paper

Detection and classification of electrocardiography using hybrid deep learning models
Immaculate Joy S, Moorthi Madhavan, Senthil Kumar K. Hellenic Journal of Cardiology, 2024. Cites: paper

Machine Learning for Myocardial Infarction Prediction Using Radial Basis Function and Genetic Algorithms
A. Bharathi, Siva Raja P M, Nandhakumar A et al. International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), 2024. Cites: paper

Assessing the Reliability of Machine Learning Explanations in ECG Analysis Through Feature Attribution
Lucas Plagwitz, Lucas Bickmann, Antonius Büscher et al. Studies in health technology and informatics, 2024. Cites: paper

Benchmarking Approaches: Time Series Versus Feature-Based Machine Learning in ECG Analysis on the PTB-XL Dataset
Lucas Bickmann, Lucas Plagwitz, Julian Varghese. Studies in health technology and informatics, 2024. Cites: paper

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