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

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: 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

Multi-expert ensemble ECG diagnostic algorithm using mutually exclusive-symbiotic correlation between 254 hierarchical multiple labels
Wei Yang, Jiewei Lai, Yue Zhang et al. Research Square, 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

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

Atrial Fibrillation and Sinus Rhythm Detection Using TinyML (Embedded Machine Learning)
Gislayne Rocha dos Santos Silva, M. D. B. Lima, José Alberto Ferreira Filho et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2024. Cites: paper

Attention-assisted hybrid CNN-BILSTM-BiGRU model with SMOTE–Tomek method to detect cardiac arrhythmia based on 12 - lead electrocardiogram signals
Sara Chopannejad, Arash Roshanpoor, Farahnaz Sadoughi. Digital Health, 2024. Cites: paper

Attention-Based Convolutional Neural Network for Imbalanced Multi-Label Electrocardiogram
诗雨张. Modeling and Simulation, 2024. Cites: paper

BioU-Net: Diagnosis Network Based on Spectral Feature Enhancement for Myocardial Infarction
Siyuan Li, Wenguang Zheng, Jiayang Li et al. Lecture notes in computer science, 2024. Cites: dataset

Breaking Boundaries in Diagnosis: Non-Invasive Anemia Detection Empowered by AI
Muljono Muljono, Sari Ayu Wulandari, Harun Al Azies et al. IEEE Access, 2024. Cites: paper

Computational modeling for medical data: From data collection to knowledge discovery
Yang Yin, Shuangbin Xu, Yifan Hong et al. The Innovation Life, 2024. Cites: paper

DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2024. Cites: dataset

Deep Learning-Based ECG Classification Using Graph Convolutional Networks and Time-Frequency Decomposition
Siredj Eddine Benaichouche, Thomas Hilbel, Ailís Ceara Haney et al. SSRN Electronic Journal, 2024. Cites: paper

Deep Learning-Based Ensemble Model for Detection of Myocardial Infarction from ECG Data
Dipanwita Saha, Nitu Saha, Gunjan Mukherjee et al. Lecture notes in networks and systems, 2024. Cites: paper

Deep machine learning for biosignal analysis
Pubudu Theekshana Thilakasiri Dissanayakage. Queensland University of Technology, 2024. Cites: paper

Design of an Integrated Myocardial Infarction Detection Model Using ECG Connectivity Features and Multivariate Time Series Classification
Pushpam Jain, Amey Deshmukh, Himanshu Pramod Padole. IEEE Access, 2024. Cites: paper

ECG Based Heart Disease Classification: Advancement and Review of Techniques
Akshita Gour, Muktesh Gupta, Rajesh Wadhvani et al. Procedia Computer Science, 2024. Cites: paper

ECG Signals Classification by Analyzing Label Correlation Based on Deep Learning
诗雨张. Modeling and Simulation, 2024. Cites: paper

Enhanced 12-Lead ECG Reconstruction from Single-Lead Data Using WaveNet
Jamal Et-Tousy, Et-Tousy Said, Soufiane Ait El Aouad et al. ITM Web of Conferences, 2024. Cites: paper

Explainable Rhythm-Based Heart Disease Detection from ECG Signals
Dereje Degeffa Demissie, Fitsum Assamnew Andargie. Communications in computer and information science, 2024. Cites: paper

Explanations of Augmentation Methods for Deep Learning ECG Classification
Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit. Lecture notes in computer science, 2024. Cites: paper

iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart
Nidhi Sinha, Amit M. Joshi, Saraju P. Mohanty. Lecture notes in networks and systems, 2024. Cites: paper

Isolation of ECG Sections Associated with Signs of Cardiovascular Diseases Using the Transformer Architecture
Alexey Petukhov, Denis Rodionov, Denis Karchkov et al. Communications in computer and information science, 2024. Cites: dataset, paper

KUMA-MI: A 12-Lead Knowledge-Guided Multi-branch Attention Networks for Myocardial Infarction Localization
Jun Long, Jichao Yang, Lin Guo et al. Lecture notes in computer science, 2024. Cites: paper

Learning Representations for Multilead Electrocardiograms From Morphology-Rhythm Contrast
Wenhan Liu, Huaicheng Zhang, Sheng Chang et al. IEEE Transactions on Instrumentation and Measurement, 2024. Cites: paper

Leveraging Temporal Patterns: Automated Augmentation to Create Temporal Early Exit Networks for Efficient Edge AI
Max Sponner, Lorenzo Servadei, Bernd Waschneck et al. IEEE Access, 2024. Cites: paper

MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Yuan Gao, Sangwook Kim, David E. Austin et al. Lecture notes in computer science, 2024. Cites: paper

Morphology-Aware ECG Diagnostic Framework With Cross-Task Attention Transfer for Improved Myocardial Infarction Diagnosis
Pharvesh Salman Choudhary, Samarendra Dandapat. IEEE Transactions on Instrumentation and Measurement, 2024. Cites: paper

Multi-Label Imbalanced ECG Signal Classification Based on Deep Learning
浩丞顾. Modeling and Simulation, 2024. Cites: paper

Online Co-Learning Strategy Based on Multibranch Multiscale Network for 12-Lead ECG Classification
Shuze Han, Caiyun Ma, Z. J. Wang et al. IEEE Transactions on Instrumentation and Measurement, 2024. Cites: paper

Physiological and Inertial Features based Dataset for Falls and Activities: PIF v2
Rajbinder Kaur, Rohini Sharma, Manpreet Kaur Dhaliwal. Procedia Computer Science, 2024. Cites: paper

Quantitative Evaluation of xAI Methods for Multivariate Time Series - A Case Study for a CNN-Based MI Detection Model
Helene Knof, Michell Boerger, Nikolay Tcholtchev. Communications in computer and information science, 2024. Cites: paper

Cited by