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

Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach
Arkadiusz Czerwinski, Damian Kucharski, Agata M. Wijata et al. npj Digital Medicine, 2025. Cites: paper

Explainable AI for automatic heart disease diagnosis using 3DFMMecg features: A novel ECG-based approach
Adolfo Fernández-Santamónica, Enrique Hortal, Yolanda Larriba et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Comparing Quantization Methods for On-Edge ECG Interpretation Using Multi-Task CNN
Kiriaki J. Rajotte, Bashima Islam, David D. McManus et al. Wearable and Implantable Body Sensor Networks, 2025. Cites: paper

Explaining Time Series Classification Predictions via Causal Attributions
Juan Miguel Lopez Alcaraz, Nils Strodthoff. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2025. Cites: paper

Heart Rate Monitoring Through ANC Headphones in Unconstrained Environments
Zhenyu Wu, Maanya Shanker, Tao Chen et al. Wearable and Implantable Body Sensor Networks, 2025. Cites: paper

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks et al. Advanced Intelligent Systems, 2025. Cites: paper

Framework, Implementation, and User Experience Aspects of Driver Monitoring: A Systematic Review
Luis A. Salazar-Calderón, Sergio A. Navarro-Tuch, Javier Izquierdo-Reyes. Applied Sciences, 2025. Cites: paper

Role of Sampling Frequency in BiLSTM-Driven ECG Heart Disease Diagnosis
Smita Kadam, S. D. Chede. IEEE DELCON - International Conference on Recent Smart Technologies in Engineering for Sustainable Development (DELCON), 2025. Cites: paper

Transfer learning for predicting acute myocardial infarction using electrocardiograms
Axel Nyström, Anders J. Björkelund, Mattias Ohlsson et al. PLOS Digital Health, 2025. Cites: paper

Comparison of Cardiovascular Diseases’ Classification Models Based on ECG Signals Using Consumer-Grade GPU
Kajetan Jeznach, Krzysztof Hryniów. Lecture notes in networks and systems, 2025. Cites: paper

ECG Signal Analysis and Abnormality Detection Application
Ales Jandera, Yuliia Petryk, Martin Muzelak et al. Algorithms, 2025. Cites: paper

Lightweight detection and pathology-guided localization of myocardial infarction using deep learning
Yuehua Bao, Qiuchen Yu, Jiaang Zhang et al. Expert Systems with Applications, 2025. Cites: paper

AI-Driven E-Health System for Remote Heart Patient Monitoring
Nouri Omheni, Amaira Arwa, Faouzi Zarai. International Symposium on Networks, Computers and Communications (ISNCC), 2025. Cites: paper

TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling
Yuxin Lin, Jing Ma, Suyu Dong et al. Journal of Biomedical Informatics, 2025. Cites: paper

Invited Paper: Security Under the Lens: Vulnerabilities in In-Sensor Computing Systems
Mashrafi Alam Kajol, Wei Lu, Qiaoyan Yu. 2025. Cites: paper

Learning ECG Representations via Poly-Window Contrastive Learning
Yi Yuan, Joseph van Duyn, Runze Yan et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper

Comparative Analysis of Data Augmentation for Clinical ECG Classification with STAR
Nader Nemati. medRxiv, 2025. Cites: paper

Diff-TTE: A Novel Diffusion Model for Text-to-Electrocardiogram
Rongjia Wang, Yihai Fang, Jianhong Dou et al. International Conference on Electronic Information Engineering and Computer Technology (EIECT), 2025. Cites: paper

Edge-Deployable Transformer-Augmented Hybrid Wavelet Network for Early Detection of Subclinical Cardiac Arrhythmias in Wearable Devices
Victor Adeyi Odeh, Zhang Xiaoling, Izis Kanjarawy et al. International Conference on Signal Processing Systems (ICSPS), 2025. Cites: paper

DMST-AGN: dual-branch multi-scale spatiotemporal agent attention with graph convolutional network for ECG arrhythmia classification
Junwei Cai, Mingfeng Jiang, Xiaoyu He et al. Measurement, 2025. Cites: paper

Federated Learning Meets Digital Twins: Adaptive Multimodal Health Monitoring with Entropy-Based Client Selection
Pietro Zema, Chiara Suraci, Antonella Molinaro et al. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2025. Cites: paper

Attention-enhanced bidirectional LSTM for multivariate ECG arrhythmia classification: a deep learning approach with clinical validation
Nadira Tashtemirova. Journal of Artificial Intelligence Machine Learning and Neural Network, 2025. Cites: paper

ProbMED: A Probabilistic Framework for Medical Multimodal Binding
Yuan Gao, Sangwook Kim, Jianzhong You et al. IEEE/CVF International Conference on Computer Vision (ICCV), 2025. Cites: paper

A performance analysis of convolutional autoencoder modified WaveGAN architectures for realistic 12 lead electrocardiogram synthesis
Jiaqi Liu, Kwok Tai Chui, Lap–Kei Lee et al. Scientific Reports, 2025. Cites: dataset, paper

Data Augmentation-Enhanced Myocardial Infarction Classification and Localization Using a ResNet-Transformer Cascaded Network
Yunfan Chen, Qi Gao, Jinxing Ye et al. Biology, 2025. Cites: paper

ECG-XPLAIM: eXPlainable Locally-adaptive Artificial Intelligence Model for arrhythmia detection from large-scale electrocardiogram data
Panteleimon Pantelidis, Samuel Ruipérez-Campillo, Julia Elisabeth Vogt et al. Frontiers in Cardiovascular Medicine, 2025. Cites: paper

Lightweight and Interpretable CNNs for Multi-Label ECG Diagnosis on the Edge
Cătălin Aurelian Popa, Radu Dogaru. IEEE International Conference on Intelligent Computer Communication and Processing (ICCP), 2025. Cites: paper

Artificial Intelligence in Cardiac Electrophysiology: A Clinically Oriented Review with Engineering Primers
Giovanni Canino, Assunta Di Costanzo, Nadia Salerno et al. Bioengineering, 2025. Cites: paper

A novel multichannel sparse convolutional autoencoder for electrocardiogram signal compression
Tahir Bekiryazıcı, Mehmet Damkacı, Gürkan Aydemır et al. Journal of Electrocardiology, 2025. Cites: paper

ECG Signal Classification for Heart Disease Detection: A Systematic Review and Future Directions
Mohammad Zuhair Abo Hadba, Amira J. Zaylaa, Mohammad Ayache. International Conference on Advances in Biomedical Engineering (ICABME), 2025. Cites: paper

An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead data
Muhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka et al. Scientific Reports, 2025. Cites: paper

Artificial Intelligence in Electrocardiography: From Automated Arrhythmia Detection to Predicting Hidden Cardiovascular Disease
Ramy Elantary, Samar Othman. Cureus, 2025. Cites: paper

A novel multimodal self-supervised framework for ECG arrhythmia classification
Jianqiang Hu, Cheng Li, Jinde Cao et al. Computers in Biology and Medicine, 2025. Cites: paper

A survey on electronic health record driven multimodal representation learning
Yutao Dou, Yaoyu Liu, Haitao Zou et al. Information Fusion, 2025. Cites: paper

TECC: Transformer-enabled electrocardiogram classification for accurate heart disease detection
Marwa Afnouch, Safwen Dammak, Olfa Gaddour et al. Multiscale and Multidisciplinary Modeling Experiments and Design, 2025. Cites: paper

MFCA-UNet:A Multi-source Feature Fusion Cross-Attention Enhancement Network for 12 Lead Electrocardiogram Classification
Wei Pang, Ming Ma, Meiju Yu. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2025. Cites: paper

Secure Federated Generative Transformers for Trustworthy Diagnostics in Global Healthcare Networks
Santosh Kumar. IEEE Baja California Conference (BCC), 2025. Cites: paper

Low-power, Energy-efficient, Cardiologist-level Atrial Fibrillation Detection for Wearable Devices
Dominik Marek Loroch, Johannes Feldmann, Vladimir Rybalkin et al. IEEE International System-on-Chip Conference (SOCC), 2025. Cites: paper

Optimizing Reduced-Lead ECG Diagnosis: An Interpretable Pipeline for Lead Selection and Model Adaptation
Luisa G. Porfírio, Guilherme H. G. Evangelista, Pedro B. Rigueira et al. 2025. Cites: paper

ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning
Panpan Fan, Xiaodong Yue, Yufei Chen et al. Lecture notes in computer science, 2025. Cites: paper

ECGtizer: An open-source, fully automated pipeline for digitization and signal recovery from paper electrocardiograms
Alex Lence, Ahmad Fall, S. Cohen et al. Biomedical Signal Processing and Control, 2025. Cites: paper

LAPAmix: Label-Adaptive Phase-Amplitude Mixup for Time-Series Augmentation
Hongyi Zhang, Xianrui Ji, Jun Fu. China Automation Congress (CAC), 2025. Cites: paper

MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion
Wei Fan, Jingru Fei, Jindong Han et al. Information Fusion, 2025. Cites: paper

State of the Art in Automatic Generation of Medical Reports: Models, Applications and Challenges
Bryan Vásquez-Pineda, Nicole Velasco-Molina, Yakdiel Rodríguez-Gallo. IEEE Central America and Panama Student Conference (CONESCAPAN), 2025. Cites: paper

CSTSINR: improving temporal continuity via convolutional structured implicit neural representations for time series anomaly detection
Ke Liu, Mengxuan Li, Jiajun Bu et al. Neural Networks, 2025. Cites: paper

MS-LTCAF: A Multi-Scale Lead-Temporal Co-Attention Framework for ECG Arrhythmia Detection
Na Feng, Chengwei Chen, Peng Du et al. Bioengineering, 2025. Cites: paper

Parameter-Efficient 12-Lead ECG Reconstruction from a Single Lead
Junseok Lee, Yeonho Yoo, Jinkyu Kim et al. Lecture notes in computer science, 2025. Cites: paper

Generation and Selection: A Self-Iterative Two-Stage Data Augmentation Method for Automated ECG Classification
Chaoying Jiang, Yujing Xin, Ning Liu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGs
Bjørn-Jostein Singstad, Eraraya Morenzo Muten. Cardiovascular Engineering and Technology, 2025. Cites: paper

Interpretable deep learning framework for multi-label ECG classification: Enhancing cardiac diagnostics through feature attention and explainability
Wei Zeng, Liangmin Shan, Yang Chen et al. Biomedical Signal Processing and Control, 2025. Cites: paper

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