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

Multimodal ECG heartbeat classification method based on a convolutional neural network embedded with FCA
Feiyan Zhou, Duanshu Fang. Scientific Reports, 2024. Cites: paper

DCAE-SR: Design of a Denoising Convolutional Autoencoder for reconstructing Electrocardiograms signals at Super Resolution
Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi et al. medRxiv, 2024. Cites: paper

Detection of myocardial infarction using Shannon energy envelope, FA-MVEMD and deterministic learning
Wei Zeng, Liangmin Shan, Chengzhi Yuan et al. Complex & Intelligent Systems, 2024. Cites: paper

A robust neural network for privacy-preserving heart rate estimation in remote healthcare systems
Tasnim Nishat Islam, Hafiz Imtiaz. Healthcare Analytics, 2024. Cites: paper

Multi-branch myocardial infarction detection and localization framework based on multi-instance learning and domain knowledge
Xinyue Li, Yangcheng Huang, Yixin Ning et al. Physiological Measurement, 2024. Cites: paper

Universal 12-lead ECG representation for signal denoising and cardiovascular disease detection by fusing generative and contrastive learning
Jiguang Shi, Wenhan Liu, Huaicheng Zhang et al. Biomedical Signal Processing and Control, 2024. Cites: paper

iCardo 3.0: ECG-Based Prediction of Conduction Disturbances Using Demographic Features
Nidhi Sinha, Amit M. Joshi, Saraju P. Mohanty. SN Computer Science, 2024. Cites: paper

PM2ECGCN: Parallelized spatial-temporal structures of multi-lead ECG with graph convolution network for multi-center cardiac disease diagnosis
Daomiao Wang, Qihan Hu, Chun-ge Cao et al. Expert Systems with Applications, 2024. Cites: paper

Myocardial scar and left ventricular ejection fraction classification for electrocardiography image using multi-task deep learning
Atirut Boribalburephan, Sukrit Treewaree, Noppawat Tantisiriwat et al. Scientific Reports, 2024. Cites: paper

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
Yi-Fu Cai, Arvind Srinivasan, Mononito Goswami et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Sensitivity of Electrocardiogram on Electrode-Pair Locations for Wearable Devices: Computational Analysis of Amplitude and Waveform Distortion
Kiyoto Sanjo, Kazuki Hebiguchi, Cheng Chun Tang et al. Biosensors, 2024. Cites: paper

Super-resolution techniques for biomedical applications and challenges
Minwoo Shin, Minjee Seo, Kyunghyun Lee et al. Biomedical Engineering Letters, 2024. Cites: paper

Self-Supervised Pulse-Aware Interpretable Disentangled ECG Representation Learning
Chun-Ti Chou, Vincent S. M. Tseng. IEEE International Conference on Acoustics Speech and Signal Processing, 2024. Cites: paper

A Multi-View learning approach to enhance automatic 12-Lead ECG diagnosis performance
Jae-Won Choi, Dae-Yong Hong, Chan Jung et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Application of Convolutional Neural Network for Decoding of 12-Lead Electrocardiogram from a Frequency-Modulated Audio Stream (Sonified ECG)
Vessela Krasteva, Ivo Tsvetanov Iliev, Serafim Dimitrov Tabakov. Sensors, 2024. Cites: paper

Single and Multi-Lead ECG Heartbeat Classification Using XGBoost on Pre-trained CNN Feature Layer
Naveen Kumar Kancharla, Brindha V. Research Square, 2024. Cites: dataset

Impact of ECG data format on the performance of machine learning models for the prediction of myocardial infarction
Ryan A. A. Bellfield, Sandra Ortega‐Martorell, Gregory Y.H. Lip et al. Journal of Electrocardiology, 2024. Cites: paper

Continual learning framework for a multicenter study with an application to electrocardiogram
Junmo Kim, Min Hyuk Lim, Kwangsoo Kim et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

12-Lead ECG Reconstruction Based on Data From the First Limb Lead
Alexey Savostin, Kayrat Koshekov, Ekaterina Ritter et al. Cardiovascular Engineering and Technology, 2024. Cites: paper

A comprehensive review on efficient artificial intelligence models for classification of abnormal cardiac rhythms using electrocardiograms
Utkarsh Gupta, Naveen Paluru, Deepankar Nankani et al. Heliyon, 2024. Cites: paper

Deep neural networks generalization and fine-tuning for 12-lead ECG classification
Aram Avetisyan, Shahane Tigranyan, Ariana Armenovna Asatryan et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis
Yanrui Jin, Zhiyuan Li, Mengxiao Wang et al. Communications Medicine, 2024. Cites: paper

Comprehensive Cardiac Ischemia Classification Using Hybrid CNN-Based Models
Abdelmalek Makhir, My Hachem El Yousfi Alaoui, Larbi Bellarbi. International Journal of Online and Biomedical Engineering (iJOE), 2024. Cites: paper

Enhanced multi-label cardiology diagnosis with channel-wise recurrent fusion
Weimin Wen, Hongyi Zhang, Zidong Wang et al. Computers in Biology and Medicine, 2024. Cites: paper

Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches
Hemaxi Narotamo, Mariana Dias, Ricardo Santos et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Design of an Integrated Arrhythmia Detection Model using Connectivity Features and Multivariate Time Series Classification
Pushpam Jain, Amey Deshmukh, Himanshu Pramod Padole. WSEAS Transactions on Information Science and Applications archive, 2024. Cites: paper

Masked self-supervised ECG representation learning via multiview information bottleneck
Shunxiang Yang, Cheng Lian, Zhigang Zeng et al. Neural Computing and Applications, 2024. Cites: paper

Convolutional neural network (CNN)-enabled electrocardiogram (ECG) analysis: a comparison between standard twelve-lead and single-lead setups
Andrea Saglietto, Daniele Baccega, Roberto Esposito et al. Frontiers in Cardiovascular Medicine, 2024. Cites: paper

Improving deep-learning electrocardiogram classification with an effective coloring method
Weiwen Chen, Chien‐Chao Tseng, Ching-Chun Huang et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Prediction of certainty in artificial intelligence-enabled electrocardiography
Anthony Demolder, Maxime Nauwynck, Michel De Pauw et al. Journal of Electrocardiology, 2024. Cites: paper

S4D-ECG: A Shallow State-of-the-Art Model for Cardiac Abnormality Classification
Zhaojing Huang, Luis Fernando Herbozo Contreras, Leping Yu et al. Cardiovascular Engineering and Technology, 2024. Cites: paper

Novel synchronization method for vectorcardiogram reconstruction from ECG printouts: A comprehensive validation approach
Elisa Ramírez, Samuel Ruipérez-Campillo, Francisco Castells et al. Biomedical Signal Processing and Control, 2024. Cites: paper

ECGMiner: A flexible software for accurately digitizing ECG
Adolfo Fernández-Santamónica, Rocío Carratalá-Sáez, Yolanda Larriba et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

12-Lead ECG signal classification for detecting ECG arrhythmia via an information bottleneck-based multi-scale network
Siyuan Zhang, Cheng Lian, Bingrong Xu et al. Information Sciences, 2024. Cites: paper

Real-Time Myocardial Infarction Detection Approaches with a Microcontroller-Based Edge-AI Device
Maria Gragnaniello, Alessandro Borghese, Vincenzo Romano Marrazzo et al. Sensors, 2024. Cites: paper

Enhancing Atrial Fibrillation Prediction Using Multimodal Neural Networks and XGBoost Integration
Araz Rawshani, Aidin Rawshani, J. Gustav Smith et al. Research Square, 2024. Cites: paper

Classification feasibility test on multi-lead electrocardiography signals generated from single-lead electrocardiography signals
Gi-Won Yoon, Segyeong Joo. Scientific Reports, 2024. Cites: paper

Two3 -AnoECG: ECG anomaly detection with two-stream networks and two-stage training using two double-throw switches
Yifan Li, Xiaoyan Peng, Weixun Cai et al. Knowledge-Based Systems, 2024. Cites: paper

Randomized attention and dual-path system for electrocardiogram identity recognition
Le Sun, Huiyun Li, Ghulam Muhammad. Engineering Applications of Artificial Intelligence, 2024. Cites: paper

Towards federated transfer learning in electrocardiogram signal analysis
Wesley Chorney, Haifeng Wang. Computers in Biology and Medicine, 2024. Cites: paper

ECG Feature Importance Rankings: Cardiologists Vs. Algorithms
Temesgen Mehari, Ashish Sundar, Alen Bošnjaković et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: dataset, paper

Reduced lead ECG multi-label classification with higher generalization using 2D SEResnets with self attention
Danish Sheikh, Himanshu Verma, Naveen Chauhan. Multimedia Tools and Applications, 2024. Cites: paper

Application of an end-to-end model with self-attention mechanism in cardiac disease prediction
Li Li, Xi Chen, Sanjun Hu. Frontiers in Physiology, 2024. Cites: paper

Continual Learning with Deep Neural Networks in Physiological Signal Data: A Survey
Ao Li, Huayu Li, Geng Yuan. Healthcare, 2024. Cites: paper

The Rise of Diffusion Models in Time-Series Forecasting
Caspar Meijer, Lydia Y. Chen. arXiv (Cornell University), 2024. Cites: paper

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images
Veer Sangha, Akshay Khunte, Gregory Holste et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

A Machine Learning Approach for Atrial Fibrillation Detection in Telemonitored Patients
Pedro L. Barrera, L. G. Vecino Schandy, María Paula Bonomini et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2024. Cites: paper

An Automated Cardiac Arrhythmia Classification Network for 45 Arrhythmia Classes Using 12-Lead Electrocardiogram
Ho Keun Kim, Myung Hoon Sunwoo. IEEE Access, 2024. Cites: paper

An Intelligent Learning Approach for Improving ECG Signal Classification and Arrhythmia Analysis
Sarah Mohammed Allabun. International Journal of Advanced Computer Science and Applications, 2024. Cites: paper

An Overview of Algorithms for Myocardial Infarction Diagnostics Using ECG Signals: Advances and Challenges
Chuang Han, Yusen Zhou, Wenge Que et al. IEEE Transactions on Instrumentation and Measurement, 2024. Cites: paper

Cited by