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

Domain knowledge enhanced deep learning for electrocardiogram arrhythmia classification
Jie Sun. Frontiers of Information Technology & Electronic Engineering, 2023. Cites: paper

ECG‐Based Multiclass Arrhythmia Classification Using Beat‐Level Fusion Network
Junyuan Jing, Jing Zhang, Aiping Liu et al. Journal of Healthcare Engineering, 2023. Cites: paper

ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram
Jungwoo Oh, Gyubok Lee, Seongsu Bae et al. neural information processing systems, 2023. Cites: dataset

ECG Signal Classification Using Transfer Learning and Convolutional Neural Networks
Tanzila Tahsin Mayabee, Kazi Tahsinul Haque, Saadia Binte Alam et al. Lecture notes in networks and systems, 2023. Cites: paper

ECG Signals Segmentation Using Deep Spatiotemporal Feature Fusion U-Net for QRS Complexes and R-Peak Detection
Xiangdong Peng, Huaqiang Zhu, Xiao Na Zhou et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

Eficiência e Sustentabilidade em Data Centers
Daniel Santos Lopes, Edilson Carlos Silva Lima, Marcos José dos Passos Sá. Editora Pascal LTDA eBooks, 2023. Cites: paper

Electrocardiogram Analysis for Kratom Users Utilizing Deep Residual Learning Network and Machine Learning
Kasikrit Damkliang, Jularat Chumnaul, Dania Cheaha et al. Canadian Journal of Electrical and Computer Engineering, 2023. Cites: paper

Implementação de uma API REST usando o Spring para um sistema de divulgação acadêmica e tutoria
Leonardo Silva Sousa, Edilson Carlos Silva Lima, Will Ribamar Mendes Almeida. Editora Pascal LTDA eBooks, 2023. Cites: paper

Learning EKG Diagnostic Models with Hierarchical Class Label Dependencies
Junheng Wang, Miloš Hauskrecht. Lecture notes in computer science, 2023. Cites: paper

Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification
Nan Jiao, Zhanquan Sun, Lin Sun et al. Lecture notes in computer science, 2023. Cites: paper

Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
Aofan Jiang, Chaoqin Huang, Qing Cao et al. Lecture notes in computer science, 2023. Cites: paper

MVTS-Net: A Multi-View Teacher-Student Network for Myocardial Infarction Location Using 12-Lead Raw Electrocardiograms
Yupeng Qiang, Xunde Dong, Xiuling Liu et al. SSRN Electronic Journal, 2023. Cites: paper

O uso da Machine Learning com o algoritmo de Regressão Logística para realizar análise de dados de Doenças Cardiovasculares de um Banco de Dados Público da CC By 4.0
Ricardo Santos Silva, Edilson Carlos Silva Lima, Jonathan de Araújo Queiroz. Editora Pascal LTDA eBooks, 2023. Cites: paper

O uso da metodologia Scrum para validação de um aplicativo no modelo de negócio de uma startup com ferramentas como CSD, Canvas, MVP e Proposta de Valor
Julyana Corrêa Silva, Edilson Carlos Silva Lima. Editora Pascal LTDA eBooks, 2023. Cites: paper

O uso de Clean Architecture com Monorepo para o desenvolvimento de um aplicativo no Flutter consumindo serviços de uma API REST
Marcelo da Conceição Correia, Edilson Carlos Silva Lima, Yonara Costa Magalhães. Editora Pascal LTDA eBooks, 2023. Cites: paper

O uso do Vue.Js no desenvolvimento de uma plataforma web para a disponibilização de trabalhos científicos
Ilgner Mendes Bezerra, Edilson Carlos Silva Lima, Elda Regina de Sena Caridade. Editora Pascal LTDA eBooks, 2023. Cites: paper

Seleção de Hiperparâmetros para o Treinamento das Arquiteturas de Rajpurkar et al. e Ribeiro et al. voltadas à Classificação de Patologias Cardíacas
Roberto Marafon Leandro, Sarah Morgana Meurer, Daniel Gomes de Pinho Zanco et al. Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, 2023. Cites: paper

Simple, efficient, and generalized ECG signal quality assessment method for telemedicine applications
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Informatics in Medicine Unlocked, 2023. Cites: dataset, paper

Solving the Problem of Diagnosing a Disease by ECG on the PTB-XL Dataset Using Deep Learning
Vyacheslav V. Razin, Alexander Krasnov, Denis Karchkov et al. Studies in computational intelligence, 2023. Cites: paper

Spa-Tem MI: A Spatial–Temporal Network for Detecting and Locating Myocardial Infarction
Jie Yu, Jian Gao, Ning Wang et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

The Symbiotic Relation of IoT and AI for Applications in Various Domains: Trends and Future Directions
Aman Jolly, Vikas Pandey, Praveen Kumar Malik et al. Internet of things, 2023. Cites: paper

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
Jielin Qiu, William Han, Jiacheng Zhu et al. Findings of the Association for Computational Linguistics: EACL, 2023. Cites: paper

Automated Identification of Label Errors in Large Electrocardiogram Datasets
Peter Doggart, Alan Kennedy, Emily Foreman et al. Computing in cardiology, 2022. Cites: paper

Chest-Lead Generation with Single-Lead
Gi-Won Yoon, Hyo-Chang Seo, Kyung-Min Choi et al. Computing in cardiology, 2022. Cites: paper

Improving Clinical ECG-based Atrial Fibrosis Quantification With Neural Networks Through in silico P waves From an Extensive Virtual Patient Cohort
Claudia Nagel, Johannes Osypka, Laura Anna Unger et al. Computing in cardiology, 2022. Cites: paper

Multi-Class ECG Feature Importance Rankings: Cardiologists vs. Algorithms
Philip J. Aston, Temesgen Mehari, Alen Bošnjaković et al. Computing in cardiology, 2022. Cites: paper

A MATHMET Quality Management System for data, software, and guidelines
Keith Lines, Jean-Laurent Hippolyte, Indhu George et al. ACTA IMEKO, 2022. Cites: paper

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: paper

Global Sensitivity Analysis and Uncertainty Quantification for Simulated Atrial Electrocardiograms
Benjamin Winkler, Claudia Nagel, Nando Farchmin et al. Metrology, 2022. Cites: paper

A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural Network
Muhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka. Sensors, 2022. Cites: paper

ECGNN: Enhancing Abnormal Recognition in 12-Lead ECG with Graph Neural Network
Xiongjun Zhao, Zhengyu Liu, Lin Han et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022. Cites: paper

A robust multiple heartbeats classification with weight-based loss based on convolutional neural network and bidirectional long short-term memory
Mengting Yang, Weichao Liu, Henggui Zhang. Frontiers in Physiology, 2022. Cites: paper

Advanced Approach for Heart Disease Diagnosis with Grey Wolf Optimization and Deep Learning Techniques
Dimple Santoshi, Sangita Santosh Chaudhari, Namita Pulgam. Algorithms for intelligent systems, 2022. Cites: dataset

Transfer Learning in Deep Neural Network Model of ECG Signal Classification
Md. Rafiqul Islam, Mahabubur Rahman, Sultan Mohammad Ismail et al. International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET), 2022. Cites: paper

A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC
Wenhan Liu, Huaicheng Zhang, Sheng Chang et al. Computers in Biology and Medicine, 2022. Cites: paper

Electrocardiogram lead conversion from single-lead blindly-segmented signals
Sofia C. Beco, João Ribeiro Pinto, Jaime S. Cardoso. BMC Medical Informatics and Decision Making, 2022. Cites: dataset, paper

Ensemble model for ECG Classification
Abdul Haque, Nadeem Akhtar. International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), 2022. Cites: paper

A unique cardiac electrocardiographic 3D model. Toward interpretable AI diagnosis
Cristina Rueda, Alejandro Rodríguez-Collado, Itziar Fernández et al. iScience, 2022. Cites: dataset, paper

Generalized Generative Deep Learning Models for Biosignal Synthesis and Modality Transfer
Theekshana Dissanayake, Tharindu Fernando, Simon Denman et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper

Application of Convolutional Dendrite Net for Detection of Myocardial Infarction Using ECG Signals
Xin Ma, Xingwen Fu, Yiqi Sun et al. IEEE Sensors Journal, 2022. Cites: paper

Automatic Diagnosis of Cardiovascular Diseases from ECG Signals using Convolutional Neural Network and Soft Computing Methods
Shimpy Goyal. Research Square, 2022. Cites: paper

Estimating critical values from electrocardiogram using a deep ordinal convolutional neural network
Guodong Wei, Xinxin Di, Wenrui Zhang et al. BMC Medical Informatics and Decision Making, 2022. Cites: paper

MInSC: A VLSI Architecture for Myocardial Infarction Stages Classifier for Wearable Healthcare Applications
Meenali Janveja, Rushik Parmar, Gaurav Trivedi. IEEE Transactions on Circuits & Systems II Express Briefs, 2022. Cites: paper

Development and validation of deep learning ECG-based prediction of myocardial infarction in emergency department patients
Stefan Gustafsson, Daniel Gedon, Erik Lampa et al. Scientific Reports, 2022. Cites: paper

A novel deep neural network heartbeats classifier for heart health monitoring
Velagapudi Swapna Sindhu, Kavuri Jaya Lakshmi, Ameya Sanjanita Tangellamudi et al. International Journal of Intelligent Networks, 2022. Cites: paper

Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning
Kwok Tai Chui, Brij Bhooshan Gupta, Mingbo Zhao et al. Bioengineering, 2022. Cites: paper

MUSE: MUlti-lead Sub-beat ECG for remote AI based atrial fibrillation detection
Andrea Petroni, Francesca Cuomo, Gaetano Scarano et al. Journal of Network and Computer Applications, 2022. Cites: paper

The ΔWaveECG: The differences to the normal 12‑lead ECG amplitudes
Klaudia K. Proniewska, Roger Abächerli, Peter Michael van Dam. Journal of Electrocardiology, 2022. Cites: paper

A novel multi-scale 2D CNN with weighted focal loss for arrhythmias detection on varying-dimensional ECGs
Pan Xia, Zhengling He, Zhongrui Bai et al. Physiological Measurement, 2022. Cites: paper

Possibility of Using Various Architectures of Convolutional Neural Networks in the Problem of Determining the Type of Rhythm
Denis Rodionov, Denis Karchkov, V. A. Moskalenko et al. Studies in computational intelligence, 2022. Cites: paper

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