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

Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption
Tanveer Khan, Khoa Nguyen, Antonis Michalas et al. Conference on Privacy, Security and Trust, 2023. Cites: paper

A structure for extracting features of electrocardiogram signals
Qingyu Yao, Xuesong Su, Siyuan Li et al. International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2023. Cites: dataset, paper

Automatic classification and detection of 12-lead electrocardiogram signal classification with Fourier convolutions
Siyuan Li, Xuesong Su, Qingyu Yao et al. International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2023. Cites: dataset

Artificial Intelligence-Driven Screening System for Rapid Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
Felipe Meneguitti Dias, Estela Ribeiro, ramon moreno et al. 2023. Cites: paper

Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges
Laurenz Berger, Max Haberbusch, Francesco Moscato. Artificial Intelligence in Medicine, 2023. Cites: paper

MedalCare-XL: 16,900 healthy and pathological synthetic 12 lead ECGs from electrophysiological simulations
Karli K. Gillette, Matthias A. F. Gsell, Claudia Nagel et al. Scientific Data, 2023. Cites: paper

DConv-LSTM-Net: A Novel Architecture for Single- and 12-Lead ECG Anomaly Detection
Theekshana Dissanayake, Tharindu Fernando, Simon Denman et al. IEEE Sensors Journal, 2023. Cites: paper

Self-supervised Classification of Clinical Multivariate Time Series using Time Series Dynamics
Yakir Yehuda, Daniel Freedman, Kira Radinsky. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

A Dual-Scale Lead-Separated Transformer for ECG Classification
Yang Li, Guijin Wang, Zhourui Xia et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

AF automatic classification based on different time-delay values of the recurrence plot
Hua Zhang, Chengyu Liu, Fangfang Tang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Automated Myocardial Infarction Screening Using Morphology-Based Electrocardiogram Biomarkers
Dhaladhuli Jahnavi, Ashutosh Kumar Dash, Nirmalya Ghosh et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

SF-ECG: Source-Free Intersubject Domain Adaptation for Electrocardiography-Based Arrhythmia Classification
Taki Hasan Rafi, Young Woong Ko. Applied Sciences, 2023. Cites: paper

Signal quality indices evaluation for robust ECG signal quality assessment systems
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Biomedical Physics & Engineering Express, 2023. Cites: paper

Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer
Wenrui Zhang, Ling Qiang Yang, Shijia Geng et al. IEEE Transactions on Neural Networks and Learning Systems, 2023. Cites: paper

A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG
Elena Merdjanovska, Aleksandra Rashkovska. Scientific Reports, 2023. Cites: paper

Convolutional block attention autoencoder for denoising electrocardiograms
Wesley Chorney, Haifeng Wang, Lu He et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Adversarial Spatiotemporal Contrastive Learning for Electrocardiogram Signals
Ning Wang, Panpan Feng, Zhaoyang Ge et al. IEEE Transactions on Neural Networks and Learning Systems, 2023. Cites: paper

Contribution to the prediction, detection and classification of atrial fibrillation : processing of ECG signals using temporal and frequency methods and contribution of artificial intelligence : Early prediction of atrial fibrillation
Hassan Serhal. theses.fr (ABES), 2023. Cites: paper

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis
Andrea Marheim Storås, Ole Emil Andersen, Sam M. Lockhart et al. Diagnostics, 2023. Cites: paper

Desarrollo de nuevos marcadores y clasificadores de bajo coste computacional para identificar afecciones cardiacas en registros ECG
Santiago Jiménez Serrano. RiuNet (Universitat Politècnica de València), 2023. Cites: paper

Electrocardiogram monitoring as a predictor of neurological and survival outcomes in patients with out-of-hospital cardiac arrest: a single-center retrospective observational study
Masaki Takahashi, Kentaro Ogura, Tadahiro Goto et al. Frontiers in Neurology, 2023. Cites: paper

An Efficient Deep Learning Approach for Arrhythmia Classification using 3D Temporal SVCG
Lorenzo Simone, Mauro Giuseppe Camporeale, Nunzia Lomonte et al. IEEE International Conference on Digital Health (ICDH), 2023. Cites: paper

Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data
Peikun Guo, Huiyuan Yang, Akane Sano. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

Twelve Lead Double Stacked Generalization for ECG Classification
Sagnik Dakshit, Balakrishnan Prabhakaran. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper

A unified framework for multi-lead ECG characterization using Laplacian Eigenmaps
Amalia Villa, Sebastian Ingelaere, Ben Jacobs et al. Physiological Measurement, 2023. Cites: paper

Single-Lead to Multi-Lead Electrocardiogram Reconstruction Using a Modified Attention U-Net Framework
Akshit Garg, Vijay Vignesh Venkataramani, U. Deva Priyakumar. International Joint Conference on Neural Networks (IJCNN), 2023. Cites: paper

Analysis of ECG Noise Cancellation and Abnormality Classification using Various Adaptive Algorithms
S M Ramesh, S. Nithya, V. V. Teresa et al. International Conference on Applied Intelligence and Sustainable Computing (ICAISC), 2023. Cites: paper

Detection of Myocardial Infarction Using Hybrid Models of Convolutional Neural Network and Recurrent Neural Network
Sumayyah Hasbullah, Mohd Soperi Mohd Zahid, Satria Mandala. BioMedInformatics, 2023. Cites: paper

Remote Heart Diagnostic System
Emma Miller, Edward Armitage, Farzan Aminian et al. International Journal on Engineering Science and Technology, 2023. Cites: dataset, paper

Diffusion-based conditional ECG generation with structured state space models
Juan Miguel Lopez Alcaraz, Nils Strodthoff. Computers in Biology and Medicine, 2023. Cites: paper

An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning
Ahmad Ayad, Mahdi Barhoush, Marian Frei et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

A Systematic Survey of Data Augmentation of ECG Signals for AI Applications
Md Moklesur Rahman, Massimo Walter Rivolta, Fabio Badilini et al. Sensors, 2023. Cites: paper

Importance of Electrode Selection and Number in Reconstructing Standard Twelve Lead Electrocardiograms
Adam Butchy, Utkars Jain, Michael Leasure et al. Biomedicines, 2023. Cites: paper

A personalized real-time virtual model of whole heart electrophysiology
Karli K. Gillette, Matthias A. F. Gsell, Marina Strocchi et al. EP Europace, 2023. Cites: paper

Benchmarking the Impact of Noise on Deep Learning-Based Classification of Atrial Fibrillation in 12-Lead ECG
Theresa Bender, Philip Hempel, Ennio Idrobo-Ávila et al. Studies in health technology and informatics, 2023. Cites: paper

Post Hoc Sample Size Estimation for Deep Learning Architectures for ECG-Classification
Lucas Bickmann, Lucas Plagwitz, Julian Varghese. Studies in health technology and informatics, 2023. Cites: dataset, paper

PTB-XL+, a comprehensive electrocardiographic feature dataset
Nils Strodthoff, Temesgen Mehari, Claudia Nagel et al. Scientific Data, 2023. Cites: dataset, paper

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation
Jielin Qiu, Jiacheng Zhu, Mengdi Xu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper

Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder
William Todo, Merwann Selmani, Béatrice Laurent et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper

ECGT2T: Towards Synthesizing Twelve-Lead Electrocardiograms from Two Asynchronous Leads
Yong‐Yeon Jo, Young Sang Choi, Jong-Hwan Jang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper

Text-to-ECG: 12-Lead Electrocardiogram Synthesis Conditioned on Clinical Text Reports
Hyunseung Chung, Jiho Kim, Joon‐myoung Kwon et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper

Sequence Modeling with Multiresolution Convolutional Memory
Jiaxin Shi, Ke Alexander Wang, Emily B. Fox. arXiv (Cornell University), 2023. Cites: paper

Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria
Theresa Bender, Jacqueline Michelle Metsch, Dagmar Krefting et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

CineECG analysis provides new insights into Familial ST-segment Depression Syndrome
Rasmus Frosted, Christian Paludan‐Müller, Oliver Bundgaard Vad et al. EP Europace, 2023. Cites: paper

Standardized Database of 12-Lead Electrocardiograms with a Common Standard for the Promotion of Cardiovascular Research: KURIAS-ECG
Hakje Yoo, Yunjin Yum, Soo Wan Park et al. Healthcare Informatics Research, 2023. Cites: paper

Normal and Abnormal ECG Signal Classification using Deep Learning
Renu Bahuguna, Soumya Upadhyay, Aditi Aditi et al. International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), 2023. Cites: paper

Analysis of the Machine Learning Classification of Cardiac Disease on Embedded Systems
Sanda Thura, Jason B. Forsyth, Kevin Molloy et al. Systems and Information Engineering Design Symposium, 2023. Cites: paper

An organic electrochemical transistor for multi-modal sensing, memory and processing
Shijie Wang, Xi Chen, Chao Zhao et al. Nature Electronics, 2023. Cites: paper

Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network
Rati Bhan, Rajendra Pamula, Parvez Faruki et al. The Journal of Supercomputing, 2023. Cites: paper

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