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

Exploring Interpretable AI Methods for ECG Data Classification
Jaya Ojha, Hårek Haugerud, Anis Yazidi et al. 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, paper

An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection
Jiguang Shi, Zhoutong Li, Wenhan Liu et al. Information Sciences, 2024. Cites: paper

TSRNET: Simple Framework for Real-Time ECG Anomaly Detection with Multimodal Time and Spectrogram Restoration Network
Nhat-Tan Bui, Dinh-Hieu Hoang, Thinh Phan et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2024. Cites: paper

Efficient electrocardiogram generation based on cardiac electric vector simulation model
Wenge Que, Yingnan Bian, Shengjie Chen et al. Computers in Biology and Medicine, 2024. Cites: paper

Towards Certifiable AI in Medicine: Illustrated for Multi-label ECG Classification Performance Metrics
Miriam Elia, Fabian Stieler, Fabian Ripke et al. IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), 2024. Cites: paper

A Contrastive Learning Approach Based on ECG-Image
Chao Chen, Chao Che, Tianming Zhao. International Conference on Modeling, Natural Language Processing and Machine Learning (CMNM), 2024. Cites: paper

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
Sergey Skorik, Aram Avetisyan. Ivannikov Memorial Workshop (IVMEM), 2024. Cites: paper

Inferring Electrocardiography From Optical Sensing Using Lightweight Neural Network
Yuenan Li, Xin Tian, Qiang Zhu et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper

Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data
Cathy Ong Ly, Balagopal Unnikrishnan, Tony Tadic et al. npj Digital Medicine, 2024. Cites: paper

Prospects for artificial intelligence-enhanced electrocardiogram as a unified screening tool for cardiac and non-cardiac conditions: an explorative study in emergency care
Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp. European Heart Journal - Digital Health, 2024. Cites: paper

Multi-label classification of arrhythmia using dynamic graph convolutional network based on encoder-decoder framework
Yuhao Cheng, Wenliang Zhu, Deyin Li et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Predicting Cardiovascular Disease: A Scoping Survey on different Datasets and DL/ML Models using ECG
Nouhaila Akouz, Asmae El Ghazi, Wassima Moutaouakil et al. International Conference on Intelligent Systems and Computer Vision (ISCV), 2024. Cites: paper

Orbital learning: a novel, actively orchestrated decentralised learning for healthcare
Neeraj Kavan Chakshu, Perumal Nithiarasu. Scientific Reports, 2024. Cites: paper

Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp et al. Computers in Biology and Medicine, 2024. Cites: paper

ECG VisionSense: A Cloud-Deployed, Flask-Based Intelligent Cardiovascular Disease Diagnosis System
Vaibhav Pendke, Esha Gawate, Sejal Wasule et al. International Conference on Advancement in Computation & Computer Technologies (InCACCT), 2024. Cites: paper

PIF dataset: a comprehensive dataset of physiological and inertial features for recognition of human activities
Manpreet Kaur Dhaliwal, Rohini Sharma, Rajbinder Kaur. Multimedia Tools and Applications, 2024. Cites: paper

ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization
Kshama Kodthalu Shivashankara, Deepanshi Deepanshi, Afagh Mehri Shervedani et al. Physiological Measurement, 2024. Cites: paper

MT-MV-KDF: A novel Multi-Task Multi-View Knowledge Distillation Framework for myocardial infarction detection and localization
Yupeng Qiang, Xunde Dong, Xiuling Liu et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Nurses’ competency on electrocardiography interpretation in adult emergency room: Addis Ababa, Ethiopia, 2021. Multicenter cross-sectional study
Yegremew Haimanot Belay, Demmelash Gezahegn Nigatu, Birhanu Melaku et al. International Emergency Nursing, 2024. Cites: paper

Modelos de aprendizado profundo de baixo custo computacional para classificação de ritmo cardíaco.
Quenaz Bezerra Soares. 2024. Cites: paper

Spatiotemporal 3-D Variations Modeling With Self-Attention for Multilabel ECG Classification
Pan Xia, Hao Zhang, Yicheng Yao et al. IEEE Sensors Journal, 2024. Cites: paper

A lightweight deep learning approach for detecting electrocardiographic lead misplacement
Yangcheng Huang, Mingjie Wang, Yi‐Gang Li et al. Physiological Measurement, 2024. Cites: paper

DS4U-Net: A Diffusion Model-Based Approach to Multi-Lead ECG Signal Generation
Tiantian Du, Jiwei Wang, Rui Qu et al. International Conference on Intelligent Computing and Signal Processing (ICSP), 2024. Cites: paper

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

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

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