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

Multi-stage temporal and cross-view contrastive learning for self-supervised multi-lead ECG classification
Pengyao Xu, Luyao Li, Xiaoyun Xie et al. Biomedical Signal Processing and Control, 2025. Cites: paper

A Foundation Transformer Model with Self-Supervised Learning for ECG-Based Assessment of Cardiac and Coronary Function
Jonathan B. Moody, Alexis Poitrasson-Rivière, Jennifer M. Renaud et al. NEJM AI, 2025. Cites: paper

Potential and Technical Limitations of ECG Zero-shot Learning for Rare Cardiac Disease Diagnosis
Hoyeong Kim, Kyuman Lee. Journal of Next-generation Convergence Information Services Technology, 2025. Cites: paper

Advanced Self-Supervised Learning for Enhanced Heart Disease Prediction
Nesrine Atitallah, Feras Dalou, Bandar Ali Mohammed Al-Rami Al-Ghamdi. International Conference on Wireless Networks and Mobile Communications (WINCOM), 2025. Cites: paper

Overview of Interpretable and Explainable Artificial Intelligence for Atrial Fibrillation
Stojancho Tudjarski, Ana Angjelevska, Marjan Gušev et al. Telecommunications Forum (TELFOR), 2025. Cites: paper

Self-Supervised Learning for Multi-Lead ECG Classification Reducing Annotation Burden and Improving Generalization
Bilgin Demir, Ervin Domazet. Telecommunications Forum (TELFOR), 2025. Cites: paper

Mini_ECGNet: a lightweight neural network with adaptive covariance pooling and dilated convolution for noise-robust ECG classification
Xiang An, Tian Xia, Jingtian Hu et al. Biomedical Signal Processing and Control, 2025. Cites: paper

A Paralleled Multi-Task Learning-Based Framework for Single-Lead ECG Fine-Grained Noise Localization, Denoising and Signal Quality Assessment
Yating Hu, Qing Liu, Zheng Zhou et al. Sensors, 2025. Cites: paper

Evaluation of Raw Signal and Feature-Based Deep Learning Models for Multi-Label ECG Diagnosis on PTB-XL
Calvin Holloway, Lakshmi Babu Saheer, Mahdi Maktab Dar. Lecture notes in computer science, 2025. Cites: paper

Deep Learning Model and Fuzzy C-Means for Cardiac Disease Detection on Electrocardiogram Signal
Quoc-Thinh Tran, Hoang-Ha Nguyen, Anh-Cang Phan. Communications in computer and information science, 2025. Cites: paper

Integrating Neuroimaging and Machine Learning to Predict Mental Disorder Outcomes: A Systematic Review
Evgenia Gkintoni, Gergios Telonis, Constantinos Halkiopoulos et al. Advances in experimental medicine and biology, 2025. Cites: paper

Enhancing cardiac disease prediction with explainable bidirectional LSTM
Swati Lipsa, Ranjan Kumar Dash, Subhra Debdas et al. Scientific Reports, 2025. Cites: dataset, paper

Artificial Intelligence-Based Evaluation of Post-Procedural Electrocardiographic Parameters to Identify Patients at Risk of Atrial Fibrillation Recurrence After Transcatheter Ablation
Gennaro De Rosa, Marco Giuggia, Mattia Peyracchia et al. Journal of Clinical Medicine, 2025. Cites: paper

A Wireless Embedded ECG Monitoring System with Neural Network-Based Data Compression
Yuliyan Slaveykov Velchev. 2025. Cites: paper

DWT-based FDRC for continuous pace tracking of an LSTM-based predictive pacemaker
Rijhi Dey, Arindam Sarkar, Naiwrita Dey et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction
Gouthamaan Manimaran, Abdolrahman Peimankar, Sadasivan K Puthusserypady et al. Computers in Biology and Medicine, 2025. Cites: paper

Cardiac Arrhythmia Classification From Lead I ECG Recorded in a Free-Living Environment
Ismail Sadiq, Haneya N. Qureshi, Ali Rizwan et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

ECG-Driven Cardiovascular Risk Prediction
Juliana V. Castilla Rios, Andrés Felipe Carrera-Pinzón, Jean C. Polo et al. International Symposium on Medical Information Processing and Analysis (SIPAIM), 2025. Cites: paper

Diffusion Model-Based Multi-scale Feature and Timing Consistency Enhancement for ECG Signal Generation
Yuan Wang, Yu Weng, Wengjian Liu. Lecture notes in computer science, 2025. Cites: paper

M-TSINR: Multiscale Implicit Neural Representations via Mamba Encoder for Time Series Anomaly Detection
Ke Liu, Mengxuan Li, Qianqian Shen et al. IEEE International Conference on Knowledge Graph (ICKG), 2025. Cites: paper

SE-Diff: Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation
Xiaoda Wang, Han, Kaiqiao, Yuhao Xu et al. arXiv (Cornell University), 2025. Cites: paper

Evaluation of ChatGPT Models for Single-Lead Electrocardiogram Interpretation
Adam Osman, Soumil Prasad, Ryan Tie-Shue et al. Journal of General Internal Medicine, 2025. Cites: dataset, paper

Lightweight adaptive spatiotemporal information fusion network for medical time series classification
Fan Yang, Anping Zeng, Chunlin He et al. Pattern Recognition Letters, 2025. Cites: paper

TempoGPT: Enhancing time series reasoning in multi-modal language model via quantizing embedding
Haochuan Zhang, Chunhua Yang, Jie Han et al. Neurocomputing, 2025. Cites: paper

Deep Learning From Diffuse Optical Oximetry Time-Series: An fNIRS-Focused Review of Recent Advancements and Future Directions
Theekshana Dissanayake, Klaus‐Robert Müller, Alexander von Lühmann. IEEE Reviews in Biomedical Engineering, 2025. Cites: paper

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

BDN: Blaschke Decomposition Networks
Yanlei Zhang, Damien Martins Gomes, Chen Liu et al. 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

A Comprehensive Benchmark for Electrocardiogram Time-Series
Z. Tang, Jiaxin Qi, Yuhua Zheng et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

TolerantECG: A Foundation Model for Imperfect Electrocardiogram
Huynh Dang Nguyen, Trong-Thang Pham, Ngan Le et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: dataset

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

Efficient Single-Lead ECG Analysis System with Multi-Lead Reconstruction
Elia Giuseppe Ceroni, Paolo Andreini, Monica Bianchini. IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 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, Applications and Services (Healthcom), 2025. Cites: paper

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