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

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

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

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

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

Breaking Barriers in Stress Detection: An Inter-Subject Approach Using ECG Signals
Shahane Tigranyan, Arman Martirosyan. IEEE Annual International Computer Software and Applications Conference (COMPSAC), 2024. Cites: paper

Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive–symbiotic correlation between 254 hierarchical multiple labels
Jiewei Lai, Yue Zhang, Chenyu Zhao et al. npj Cardiovascular Health, 2024. Cites: paper

Transferring Knowledge from 12-Lead to 1-Lead ECGs via Contrastive Learning
Sergey Skorik, Aram Avetisyan, Ekaterina Diatlinko et al. IEEE Annual International Computer Software and Applications Conference (COMPSAC), 2024. Cites: paper

A novel IMW-mrmr feature selection approach for early detection of hypertension with HRV analysis
A. R. Sohara Banu, V. Nagaveni. International Journal of Information Technology, 2024. Cites: dataset

Large-area stretchable dynamic 18-lead ECG monitoring patch integrated with deep learning for cardiovascular disease diagnosis
Yidong Deng, Chengjun Wang, Tong Qiu et al. Cell Reports Physical Science, 2024. Cites: paper

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning
Thu Hang Phung, Binh Phu Nguyen, Thanh-Hung Nguyen et al. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

Improved Deep Learning Based ECG Classification through Automated Feature Selection and Weighted Loss Function
Timo De Waele, Daniel Peralta, Eli De Poorter et al. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

Multiscale Residual Network with Dynamic Depthwise Convolution for Multi-label 12-Lead ECG Classification
Linhai Xie, Yilei Man, Delong Shang. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

Enhancing ECG Heartbeat classification with feature fusion neural networks and dynamic minority-biased batch weighting loss function
Jiajun Cai, Junmei Song, Bo Peng. Physiological Measurement, 2024. Cites: paper

Scaling Representation Learning From Ubiquitous ECG With State-Space Models
Kleanthis Avramidis, Dominika Kunc, Bartosz Perz et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Clinical knowledge-based ECG abnormalities detection using dual-view CNN-Transformer and external attention mechanism
Hui Li, Jiyang Han, Honghao Zhang et al. Computers in Biology and Medicine, 2024. Cites: paper

Deep learning based multimodal biomedical data fusion: An overview and comparative review
Junwei Duan, Jiaqi Xiong, Yinghui Li et al. Information Fusion, 2024. Cites: paper

Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models
Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian et al. Engineering Applications of Artificial Intelligence, 2024. Cites: paper

Comprehensive ECG Signal Analysis for Heart Disease Classification: Integrating Neural Networks with Random Forest
Akshita Gour, Rajesh Wadhvani, Muktesh Gupta. International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2024. Cites: paper

Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya. Journal of King Saud University - Computer and Information Sciences, 2024. Cites: dataset

Detection of multiple cardiac abnormalities using Convolution, Positional Encoder and Transformer on 12-lead ECG recordings
Adam Ford, Jessica Lan, Kyle Kai Ho Ng. medRxiv, 2024. Cites: paper

PPG-ECG Conversion and Classification for Cardiac Activity Diagnosis
Mamoudou Sékou Diani, Mounir Boukadoum. IEEE Interregional NEWCAS Conference (NEWCAS), 2024. Cites: paper

ECG Signal Classification based on combined CNN Features and Optimised Support Vector Machine
Rafia Hassani, Mohamed Boumehraz, Maroua Hamzi. Electrotehnica Electronica Automatica, 2024. Cites: paper

Leadwise clustering multi-branch network for multi-label ECG classification
Feiyan Zhou, Lingzhi Chen. Medical Engineering & Physics, 2024. Cites: paper

MELEP: A Novel Predictive Measure of Transferability in Multi-label ECG Diagnosis
Cuong V. Nguyen, Hieu Minh Duong, Cuong Do. Journal of Healthcare Informatics Research, 2024. Cites: paper

The ECG Signal Monitoring System Using Machine Learning Methods and LoRa Technology
Sandra Śmigiel, Tomasz Topoliński, Damian Ledziński et al. Pomiary, Automatyka, Robotyka, 2024. Cites: paper

Deep learning based ECG segmentation for delineation of diverse arrhythmias
Chankyu Joung, Mijin Kim, Taejin Paik et al. PLoS ONE, 2024. Cites: paper

Uncertainty Calibrated Deep Regression for QT Interval Measurement in Reduced Lead Set ECGs
Peter Doggart, Alan Kennedy, Raymond Bond et al. Irish Signals and Systems Conference, 2024. Cites: paper

Honest-GE: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ECG
Huaicheng Zhang, Wenhan Liu, Deyu Luo et al. Information Sciences, 2024. Cites: paper

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