Cited by
A large scale 12-lead electrocardiogram database for arrhythmia study (v1.0.0)
23 publications cite any version of this project or its primary paper, newest first.
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Language-supervised electrocardiogram interpretation with vision transformer
Xue Zhou, 天慧 李, Keijiro Nakamura et al. Health Information Science and Systems, 2026. Cites: dataset -
Key Issues in the Processing and Analysis of Large Electrocardiographic Datasets Using Machine Learning Methods
Danylo Zakrzhevsky. Cybernetics and Computer Technologies, 2026. Cites: dataset -
ECG-CoCa: Physiology-Informed Contrastive and Generative Framework for ECG Interpretation
Xinyue Liu, Yiming Lei, Shiwei Li et al. Lecture notes in computer science, 2026. Cites: dataset -
Short Paper: Towards Real-Time ECG and EMG Modeling on μNPUs
Josh Millar, Ashok Samraj Thangarajan, Soumyajit Chatterjee et al. 2026. Cites: dataset -
Comparison of the performance of features based on symbolic dynamics and recurrence microstates for time series classification
H. C. Costa, J. V. M. Silveira, B. R. R. Boaretto et al. Physical Review Research, 2026. Cites: dataset -
AutoML-Driven ECG Classification of Cardiac Pathologies with Explainable AI
Dmytro Tymoshchuk, А. С. Сверстюк, Vitaliy Tymoshchuk et al. International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI), 2026. Cites: dataset -
Contactless 12-lead electrocardiogram via deep computational radar
Zhi Peng Lu, Jinbo Chen, Dongheng Zhang et al. npj Biomedical Innovations., 2026. Cites: dataset -
Diagnosis of cardiac conditions from 12-lead electrocardiogram through natural language supervision
Xue Mei Zhou, Tianhui Li, Hiromasa Hayama et al. npj Digital Medicine, 2025. Cites: dataset -
A Fast, Lightweight, and Generalizable Deep Neural Network for the Detection of Atrial Fibrillation
Harshit Mishra, Farhan Adam Mukadam, Nachiket Makwana et al. medRxiv, 2025. Cites: dataset -
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 -
Private 5G and AIoT in Intelligent Healthcare: A Case Study of EECP Therapy
Yu‐Tsung Cheng, Jen-En Huang, Hui-Hsin Chin. Mobile Networks and Applications, 2025. Cites: dataset -
Electrocardiographic sex index: a continuous representation of sex
İbrahi̇m Karabayir, Turgay Celık, Luke Patterson et al. Biology of Sex Differences, 2025. Cites: dataset -
Reversible Watermarking for Electrocardiogram Protection
Pavel Andreyev, Anna Denisova, Victor Fedoseev. Sensors, 2025. Cites: dataset -
METHODS OF ELECTROCARDIOGRAM CLASSIFICATION AND THEIR MATHEMATICAL MODEL IN THE FORM OF A CYCLIC DISCRETE RANDOM PROCESS
Lyubomyr Mosiy, А. С. Сверстюк. Computer Systems and Information Technologies, 2025. Cites: dataset -
A Soft Patch for Dynamic Myocardial Infarction Monitoring
Ke Zhang, Peng Wang, Lingling Wu et al. ACS Applied Materials & Interfaces, 2025. Cites: dataset -
Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram
Albert Joseph Rogers, Neal Kumar Bhatia, Sabyasachi Bandyopadhyay et al. npj Digital Medicine, 2025. Cites: dataset -
Independence on the lead of the identification of the ventricular depolarization in the electrocardiogram in wearable devices
Noemi Giordano, Silvia Cannone, Gabriella Balestra et al. Computer Methods and Programs in Biomedicine Update, 2025. Cites: dataset -
Sparse learned kernels for interpretable and efficient medical time series processing
Sully F. Chen, Zhicheng Guo, Cheng Ding et al. Nature Machine Intelligence, 2024. Cites: dataset -
xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long-term features
Marc Goettling, Alexander Hammer, Hagen Malberg et al. Scientific Reports, 2024. Cites: dataset -
A lightweight deep learning approach for detecting electrocardiographic lead misplacement
Yangcheng Huang, Mingjie Wang, Yi‐Gang Li et al. Physiological Measurement, 2024. Cites: dataset -
DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2024. Cites: dataset -
Gated CNN-Transformer Network for Automatic Cardiovascular Diagnosis using 12-lead Electrocardiogram
Yuanlin Liu, Haiying Li, Jie Lin et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: dataset -
Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera et al. Diagnostics, 2022. Cites: dataset
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