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

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

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

Development of a Frequent Exchange Coordinate Algorithm for Detection of Precordial Electrode Exchange during ECG based on Error and Correlation Parameters
Universidad Nacional de San Agustín de Arequipa, Edward Carello Figueroa Tejada, Carlos Esteban Mamani Huisa et al. Revista Mexicana de Ingeniería Biomédica, 2024. Cites: dataset

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

Efficient Cardiovascular Disease Diagnosis System for an Wearable Device based on Multi Stage BCResNet
Jungbeom Ko, J. Park, Minjeong Kim et al. International SoC Design Conference, 2024. Cites: paper

Heart Diseases Recognition Model Based on HRV Feature Extraction over 12-Lead ECG Signals
Ling Wang, Tianshuo Bi, Jiayu Hao et al. Sensors, 2024. Cites: paper

Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies
Shinnosuke Sawano, Satoshi Kodera, Naoto Setoguchi et al. PLoS ONE, 2024. Cites: paper

Estimating ECG Intervals from Lead-I Alone: External Validation of Supervised Models
Ridwan Alam, Collin M. Stultz. medRxiv, 2024. Cites: paper

Early Risk Assessment Model for ICA Timing Strategy in Unstable Angina Patients Using Multi-Modal Machine Learning
Zheng, Candi, Liu, Kun, Yang Wang et al. arXiv (Cornell University), 2024. Cites: dataset, paper

Inferring spatial–temporal dynamics of ECG signals with deep neural networks for cardiovascular diseases diagnosis
Haitao Yu, Yizhuo Lu, Shumei Zheng. Biomedical Signal Processing and Control, 2024. Cites: paper

ECG-based Cardiovascular Disease Classification using Modified Inception
Việt Dũng Nguyễn, Thi Thu Hien Hoang, Kiem Thuy Vu et al. International Conference on Communications and Electronics (ICCE), 2024. Cites: paper

A survey of multimodal federated learning: background, applications, and perspectives
Hao Pan, Xiaoli Zhao, Lipeng He et al. Multimedia Systems, 2024. Cites: paper

A Novel Method of Myocardial Infarction Diagnosis Based on Residual Shrinkage Network
Rongjia Wang, Yihai Fang, Yupeng Qiang et al. Chinese Control Conference (CCC), 2024. Cites: paper

Development of Clinically Validated Artificial Intelligence Model for Detecting ST-segment Elevation Myocardial Infarction
Sang‐Hyup Lee, Kyu Lee Jeon, Yong‐Joon Lee et al. Annals of Emergency Medicine, 2024. Cites: paper

Generative-AI-Driven Human Digital Twin in IoT Healthcare: A Comprehensive Survey
Jiayuan Chen, You Shi, Changyan Yi et al. IEEE Internet of Things Journal, 2024. Cites: paper

ECG-Lense: Benchmarking ML & DL Models on PTB-XL Dataset
Saloni Garg, Ukant Jadia, Amit Sagtani et al. International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), 2024. Cites: dataset

Deep Learning Based Automatic Detection Algorithm of Atrial Fibrillation Implemented on FPGA
Huang Tianyi, Jiang Yuchen, Yijing Wang et al. IEEE International Conference on Pattern Recognition and Machine Learning (PRML), 2024. Cites: paper

Delineation of 12-Lead ECG Representative Beats Using Convolutional Encoder–Decoders with Residual and Recurrent Connections
Vessela Krasteva, Todor Stoyanov, Ramun Schmid et al. Sensors, 2024. Cites: paper

Open-world electrocardiogram classification via domain knowledge-driven contrastive learning
Shuang Zhou, Xiao Xia Huang, Ninghao Liu et al. Neural Networks, 2024. Cites: paper

Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning
Robert O’Shea, Prabodh Katti, Bipin Rajendran. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

BioAgeNet: An Age-Informed Convolutional Autoencoder for ECG Clustering Indicating Health
Varsha Sharma, Avik Ghose. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Electrocardiographic Classification using Deep Learning with Lead Switching
Tomoharu Iwata, Ryo Nishikimi, Ryohei Shibue et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Enhancing explainability in ECG analysis through evidence-based AI interpretability
Philip Hempel, Theresa Bender, Nicolai Spicher. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

Federated Learning With Deep Neural Networks: A Privacy-Preserving Approach to Enhanced ECG Classification
Kuba Weimann, Tim Conrad. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals
Lennert Bontinck, Karel Fonteyn, Tom Dhaene et al. Expert Systems with Applications, 2024. Cites: paper

Prediction of Myocardial Infarction Using Convolutional Neural Network Method on Electrocardiogram Signal
Prinintya Nuri Alifa, Satria Mandala. International Conference on Data Science and Its Applications (ICoDSA), 2024. Cites: paper

Diagnostic and Prognostic Electrocardiogram-Based Models for Rapid Clinical Applications
Md. Saiful Islam, Sunil V. Kalmady, Abram Hindle et al. Canadian Journal of Cardiology, 2024. Cites: paper

OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network
Chao Chen, Bo Jin, Chao Che et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Remembering Everything Makes You Vulnerable: A Limelight on Machine Unlearning for Personalized Healthcare Sector
Ahan Chatterjee, Sai Anirudh Aryasomayajula, Rajat Chaudhari et al. arXiv (Cornell University), 2024. Cites: paper

CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms
Jiguang Shi, Wenhan Liu, Huaicheng Zhang et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Enhancing ECG-based heart age: impact of acquisition parameters and generalization strategies for varying signal morphologies and corruptions
Mohammed Yusuf Ansari, Marwa Qaraqe, Raffaella Righetti et al. Frontiers in Cardiovascular Medicine, 2024. Cites: paper

Interactive teaching of medical 3D cardiac anatomy: atrial anatomy enhanced by ECG and 3D visualization
Danila Potyagaylo, Peter Michael van Dam, Marcin Kuniewicz et al. Frontiers in Medicine, 2024. Cites: paper

Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings
Mariana Dias, Phillip Probst, Luís Silva et al. SN Computer Science, 2024. Cites: paper

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