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

PEL: Population-Enhanced Learning Classification for ECG Signal Analysis
Mehran Pourvahab, Seyed Jalaleddin Mousavirad, Farzaneh Lashgari et al. Studies in computational intelligence, 2025. Cites: paper

QRS Detection Based on the Matching Pursuit Algorithm
Mohammed Owahidur Rahman, Piotr Augustyniak, Elżbieta Olejarczyk. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2025. Cites: dataset

Reducing lead requirements for wearable ECG: Chest lead reconstruction with 1D-CNN and Bi-LSTM
Kazuki Hebiguchi, Hiroyoshi Togo, Akimasa Hirata. Informatics in Medicine Unlocked, 2025. Cites: paper

Rethinking Contrastive Learning for Electrocardiogram Anomaly Detection: A Time-Frequency Augmentations Perspective
Huihui Chang, Haoyi Fan, Han Han et al. Lecture notes in computer science, 2025. Cites: paper

Revolutionizing Remote Health Monitoring: Autonomous Detection of Cardiac Abnormalities with Customized Dietary Planning
S. A. S. Vihansa, P. V. P. P. Senadheera, Dilanka Wijeratne et al. Lecture notes in networks and systems, 2025. Cites: dataset

Securing Deep Learning Models with Differential Privacy for Cardiovascular Disease Prediction
Zoher Orabe, Antti Vasankari, Tapio Pahikkala et al. SSRN Electronic Journal, 2025. Cites: paper

Self-Supervised ECG Anomaly Detection Based on Time-Frequency Specific Waveform Mask Feature Fusion
Chongrui Tian, Fengbin Zhang. IEEE Access, 2025. Cites: paper

ST-DGCN: A Novel Spatial-Temporal Dynamic Graph Convolutional Network for Cardiovascular Diseases Diagnosis
Qi Xu, Yi Xia. IEEE Access, 2025. Cites: paper

Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions
Mumin Adam, Abdullatif Mohammed Albaseer, Uthman A. Baroudi et al. IEEE Open Journal of the Communications Society, 2025. Cites: paper

Tackling Low-Resource ECG Classification with Self-supervised Learning
Renan Beserra Pereira da Silva, Diego Furtado Silva. Lecture notes in computer science, 2025. Cites: paper

Unveiling the secrets of neural network scaling for ECG classification
Byeong Tak Lee, Joon‐myoung Kwon, Yong‐Yeon Jo. Informatics in Medicine Unlocked, 2025. Cites: paper

Wrist-Worn Devices for Remote Monitoring of Cardiovascular Disease: A Survey
Ismail Sadiq, Aneeqa Ijaz, Ali Imran. IEEE Access, 2025. Cites: paper

CORKI: A Correlation-Driven Imputation Method for Partial Annotation Scenarios in Multi-label Clinical Problems
Ricardo Santos, Bruno Ribeiro, Isabel Curioso et al. Communications in computer and information science, 2024. Cites: paper

Direct One-to-All Lead Conversion on 12-Lead Electrocardiogram
Samir Braga Chaves, José Antônio Fernandes de Macêdo, Régis Pires Magalhães et al. Communications in computer and information science, 2024. Cites: paper

Advanced Deep Neural Network with Unified Feature-Aware and Label Embedding for Multi-Label Arrhythmias Classification
Pan Xia, Zhongrui Bai, Yicheng Yao et al. Tsinghua Science & Technology, 2024. Cites: paper

Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool
Maria Galanty, Dieuwertje Maria Rebecca Luitse, Sijm H. Noteboom et al. Scientific Reports, 2024. Cites: paper

Bimodal Masked Autoencoders with internal representation connections for electrocardiogram classification
Yufeng Wei, Cheng Lian, Bingrong Xu et al. Pattern Recognition, 2024. Cites: paper

Intelligent algorithms powered smart devices for atrial fibrillation discrimination
Liping Xie, Lindong Wang, Dongze Mo et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution
Ugo Lomoio, Pierangelo Veltri, Pietro Hiram Guzzi et al. Artificial Intelligence in Medicine, 2024. Cites: paper

MamKanformer: A hybrid Mamba and KAN model based on Medformer for Medical Time-Series Classification
Zhizun Zeng, Qiuyuan Gan, Zhoukun Yan et al. International Conference on Computers and Artificial Intelligence Technology (CAIT), 2024. Cites: paper

A Deep Knowledge Distillation HeartCare Framework for Detection of Multi-label Myocardial Infarction from Multi-lead ECG Signals
Bidyut Bikash Borah, Khushboo Das, Uddipan Hazarika et al. SN Computer Science, 2024. Cites: paper

Artificial Intelligence Techniques for Cardiovascular Disease Classification using 12-Lead ECG
Younes Hadzine, Atman Jbari, Mohamed Najoui et al. International Conference on Embedded Systems and Artificial Intelligence (ESAI), 2024. Cites: paper

SAPTSTA-AnoECG: a PatchTST-based ECG anomaly detection method with subtractive attention and data augmentation
Yifan Li, Mengjue Wang, Mingxiang Guan et al. Applied Intelligence, 2024. Cites: paper

ECGInsight: A Web Application-Based Approach to Myocardial Infarction Detection From ECG Image Reports Utilizing ResNet
Jahanggir Hossain Setu, Syed Tangim Pasha, Nabarun Halder et al. International Conference on Machine Learning and Applications, 2024. Cites: paper

ECG-LM: Understanding Electrocardiogram with a Large Language Model
Kai Yang, Massimo Hong, Jiahuan Zhang et al. Health Data Science, 2024. Cites: paper

A Comprehensive Survey on Emerging Techniques and Fusion Technologies in Spatio-Temporal EEG Data Analysis
Pengfei Wang, Huanran Zheng, Silong Dai et al. Chinese journal of information fusion., 2024. Cites: paper

Active Learning with Alternating Acquisition Functions: Balancing the Exploration-Exploitation Dilemma
Cédric Jung, Shirin Salehi, Anke Schmeink. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Biometric Authentication via Electrocardiogram Traces
Naomi Argaw, Diwas Pandey, Scott A. Wallace. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Communication-Efficient Multi-Modal Federated Learning via Dynamic Client-Modality Matching
Tan Li, Yanming Gong, Hai Liu et al. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

An Enhanced Neural Network Algorithm for ECG Diagnosis Based on Dynamic Weighted Attention and Hierarchical Contrastive Learning
Yong Tao Yu, Songhe Yu. IEEE International Conference on Frontiers Technology of Information and Computer (ICFTIC), 2024. Cites: paper

Advancing Torsades-de-Pointe Risk Prediction in Deep Learning : Generative Models for Electrocardiogram Synthesis Ex Nihilo and Ex Aliquo
Alex Lence. 2024. Cites: paper

Artificial intelligence on biomedical signals: technologies, applications, and future directions
Yoon Jae Lee, Cheoljeong Park, Hodam Kim et al. Med-X, 2024. Cites: paper

CMBT Net: A Deep Learning Based Approach for Automatic Feature Extraction and Classification of Electrocardiograms (ECGs)
Tayyib Ul Hassan, Hasan Fakhar. International Conference on Frontiers of Information Technology (FIT), 2024. Cites: paper

Opportunities and Challenges in Deep Compressed Sensing Techniques for Multichannel ECG Data Compression
Sushant Kumar, Ram Bilas Pachori, Bhabesh Deka et al. SN Computer Science, 2024. Cites: paper

Communication overhead reduction in federated learning: a review
Goran Saman Nariman, Hozan K. Hamarashid. International Journal of Data Science and Analytics, 2024. Cites: paper

De preguntas a soluciones: Innovación y sostenibilidad
Javier Dario Hoyos-Leyva, Carlos Eduardo Daza-Orozco, Eduardo Norman-Acevedo. Libros IC, 2024. Cites: paper

Multi-channel masked autoencoder and comprehensive evaluations for reconstructing 12-lead ECG from arbitrary single-lead ECG
Jia‐Rong Chen, Wanqing Wu, Tong Liu et al. npj Cardiovascular Health, 2024. Cites: paper

A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
Huang Wei, Ning Wang, Panpan Feng et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

CELL: Supplementing Context for Multi-modal Few-shot Cardiologist
Huaicheng Zhang, Jiguang Shi, Yue Ge et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

DAMAL: Data Augmentation Aided Multi-channel Attention Fusion Network for Multi-label Myocardial Infarction Localization
Lin Guo, Qianyun Zhan, Nan Ma et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

ECGMamba: Towards ECG Classification with State Space Models
Yupeng Qiang, Xunde Dong, Xiuling Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Interpretable ECG analysis for myocardial infarction detection through counterfactuals
Toygar Tanyel, Sezgin Atmaca, Kaan Gökçe et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Leveraging Convolutional Neural Network (CNN)-based Auto Encoders for Enhanced Anomaly Detection in High-Dimensional Datasets
M. Haseeb Javed, Madiha Anjum, Hassan A. Ahmed et al. Engineering Technology & Applied Science Research, 2024. Cites: dataset

Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction
Kashvi Ankitbhai Sheth, Charvi Upreti, Manas Ranjan Prusty et al. BMC Medical Imaging, 2024. Cites: dataset, paper

Foundation model of ECG diagnosis: Diagnostics and explanations of any form and rhythm on ECG
Yuanyuan Tian, Zhiyuan Li, Yanrui Jin et al. Cell Reports Medicine, 2024. Cites: paper

Universal representations in cardiovascular ECG assessment: A self-supervised learning approach
Zhi‐Yong Liu, Ching‐Heng Lin, Yu-Chun Hsu et al. International Journal of Medical Informatics, 2024. Cites: paper

An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach
Marion Taconné, Valentina Corino, Luca Tommaso Mainardi. IEEE Open Journal of Engineering in Medicine and Biology, 2024. Cites: paper

Artificial intelligence–derived electrocardiographic aging and risk of atrial fibrillation: a multi-national study
Seunghoon Cho, Sujeong Eom, Daehoon Kim et al. European Heart Journal, 2024. Cites: paper

Synthetic ECG signals generation: A scoping review
Beatrice Zanchi, Giuliana Monachino, Luigi Fiorillo et al. Computers in Biology and Medicine, 2024. Cites: paper

Disentangled representational learning for anomaly detection in single-lead electrocardiogram signals using variational autoencoder
Maximilian Kapsecker, Matthias C. Möller, Stephan Jonas. Computers in Biology and Medicine, 2024. Cites: paper

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