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

Functional Characterization of a Spectrum of Novel Romano-Ward Syndrome KCNQ1 Variants
Susanne Rinné, Annemarie Oertli, Claudia Nagel et al. International Journal of Molecular Sciences, 2023. Cites: paper

Image based deep learning in 12-lead ECG diagnosis
Raymond Ao, George He. Frontiers in Artificial Intelligence, 2023. Cites: paper

A metodologia Scrum com as ferramentas de desenvolvimento de uma Startup como estudo para um modelo de negócio de publicações científicas em uma instituição de ensino
Mariane Soares dos Santos, Edilson Carlos Silva Lima. Editora Pascal LTDA eBooks, 2023. Cites: paper

Análise Comparativa das Arquiteturas de Rajpurkar et al. e Ribeiro et al. para Classificação de Patologias Cardíacas em Eletrocardiogramas
Sarah Morgana Meurer, Daniel Gomes de Pinho Zanco, Eduardo Vinícius Kuhn et al. Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, 2023. Cites: paper

Análise da utilização do framework Spring em sistema web para o aplicativo de gerenciamento de condomínio
Carlos Eduardo Júnior Ferreira, Edilson Carlos Silva Lima, Will Ribamar Mendes Almeida. Editora Pascal LTDA eBooks, 2023. Cites: paper

Análise de uma aplicação desenvolvida com PowerApps para automação de relatórios do SAP utilizando Framework Selenium com Python no escritório de uma Organização
Juliana Serra Portela, Edilson Carlos Silva Lima, Jonathan de Araújo Queiroz. Editora Pascal LTDA eBooks, 2023. Cites: paper

Aplicando Padrões de Projeto no Desenvolvimento de uma API Rest com Springboot para ser consumida por uma Aplicação de Clínicas de Saúde
Lucas Yan Costa Matos, Edilson Carlos Silva Lima. Editora Pascal LTDA eBooks, 2023. Cites: paper

A Policy for Early Sequence Classification
Alexander Cao, Jean Utke, Diego Klabjan. Lecture notes in computer science, 2023. Cites: paper

Applications of Self-Supervised Learning to Biomedical Signals: A Survey
Federico Del Pup, Manfredo Atzori. IEEE Access, 2023. Cites: paper

Automated Detection and Localization of Myocardial Infarction With Interpretability Analysis Based on Deep Learning
Chuang Han, Jiajia Sun, Yingnan Bian et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

Cardiac Disease Detection Using IoT-Enabled ECG Sensors and Deep Learning Approach
Pranali P. Lokhande, Kotadi Chinnaiah. Communications in computer and information science, 2023. Cites: dataset

Cleaning ECG with Deep Learning: A Denoiser Based on Gated Recurrent Units
Mariana Dias, Phillip Probst, Luís Silva et al. IFIP advances in information and communication technology, 2023. Cites: paper

Convolutional Autoencoder for Filtering of Power-Line Interference with Variable Amplitude and Frequency: Study of 12-Lead PTB-XL ECG Database
Kamen Ivanov, Irena Ilieva Jekova, Vessela Krasteva. Lecture notes in networks and systems, 2023. Cites: paper

DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features
Nidhi Sinha, M. A. Ganesh Kumar, Amit M. Joshi et al. IEEE Access, 2023. Cites: paper

Decentralized Learning in Healthcare: A Review of Emerging Techniques
Chamani Shiranthika, Parvaneh Saeedi, Ivan V. Bajić. IEEE Access, 2023. Cites: paper

Deep learning models for multilabel ECG abnormalities classification: A comparative study using TPE optimization
Atiaf Ayal Rawi, Murtada Khalafallah Elbashir, Awadallah M. Ahmed. Journal of Intelligent Systems, 2023. Cites: paper

Development of Wearable and Portable Cardiac Arrest Prediction System
Saadman Kabir, Ananta Banik, Moshfiq-Us-Saleheen Chowdhury et al. Lecture notes in networks and systems, 2023. Cites: paper

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 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-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

Cited by