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

From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab et al. Biomedical Engineering Letters, 2025. Cites: paper

Graph-enhanced deep learning for ECG arrhythmia detection: An integration of CNN-GNN-BiLSTM approach
Piyush Mahajan, Amit Kaul. Medical Engineering & Physics, 2025. Cites: paper

Integrating Manual ECG Feature Extraction with Ensemble Learning for Myocardial Infarction Diagnosis
Wencheng Liu, Yu‐Lan Liu, Da‐Wei Chang et al. Journal of Medical Sciences, 2025. Cites: paper

Advancing electrocardiogram synthesis: Analyzing key metrics for enhanced evaluation
Wei Wang, Jing Ma, Kuanquan Wang et al. Computers in Biology and Medicine, 2025. Cites: paper

Challenges of identification and anonymity in time-continuous data from medical environments
F. Hammer, Thorsten Strufe. Frontiers in Digital Health, 2025. Cites: paper

Implicit Graph-Based Cardiovascular Disease Detection Using Cardiac Axis Deviation in Reduced-Lead ECG
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Sensors Letters, 2025. Cites: paper

Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram
Aleksandar Lazović, Vladimir A. Atanasoski, Predrag R. Tadic et al. Scientific Data, 2025. Cites: dataset, paper

Machine Learning and Artificial Intelligence-Based Clinical Decision Support for Modern Hematology
Cindy Zhang, Barbara D. Lam, Fabienne McClanahan Lucas et al. Clinics in Laboratory Medicine, 2025. Cites: paper

Lead Analysis for the Classification of Multi-Label Cardiovascular Diseases and Neural Network Architecture Design
Tao Yang, Chao-Xin Xie, Hui-Ming Huang et al. Electronics, 2025. Cites: paper

Ensuring medical AI safety: interpretability-driven detection and mitigation of spurious model behavior and associated data
Frederik Pahde, Thomas Wiegand, Sebastian Lapuschkin et al. Machine Learning, 2025. Cites: paper

GAEA-Net: Generating Activity-Enriched Abnormal ECGs via Adversarial Network
Liuqing Chen, Shuhong Xiao, Yujie Zang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Heart Disease Classification using FusionNet to Extract SpatioTemporal Features from ECG Signal
Thi-Oanh Ha, Hieyong Jeong, Huong-Giang Doan. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2025. Cites: paper

OrganoSense: Neural Biosignal Processing in the Sensor Using Organic Devices
Sepehr Tabrizchi, Neeraj Solanki, Ali Shafiee Sarvestani et al. IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2025. Cites: paper

Privacy-preserving ECG data collection for arrhythmia classification
Hyubjin Lee, Minsoo Kim, Yon Dohn Chung. Biomedical Signal Processing and Control, 2025. Cites: paper

The Multi-Branch Deep-Learning-Based Approach to Heart Dysfunction Classification
Krzysztof Hryniów, Bartosz Puszkarski, Marcin Iwanowski. Applied Sciences, 2025. Cites: paper

A general aggregation federated learning intervention algorithm based on do-calculus
Zhenyuan Huang, Wenzhong Tang, Hui Zhang et al. Pattern Recognition, 2025. Cites: paper

Multi-task learning for multi-label electrocardiogram disease detection via point-level delineation-guided fusion
Mengxiao Wang, Yuanyuan Tian, Zhiyuan Li et al. Engineering Applications of Artificial Intelligence, 2025. Cites: dataset

Interpretable Deep Learning Models for Arrhythmia Classification Based on ECG Signals Using PTB-X Dataset
Ahmed E. Mansour Atwa, El-Sayed Atlam, Ali Ahmed et al. Diagnostics, 2025. Cites: paper

Multi-modal Time Series Analysis: A Tutorial and Survey
Yushan Jiang, Kanghui Ning, Zijie Pan et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. Cites: paper

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
Kim, Seonyoung, Kim, Dongil. arXiv (Cornell University), 2025. Cites: dataset

Self-supervised pre-training with joint-embedding predictive architecture boosts ECG classification performance
Kuba Weimann, Tim Conrad. Computers in Biology and Medicine, 2025. Cites: paper

Efficient Myocardial Infarction Detection Using Hybrid CNN-BiLSTM with Depthwise Separable Convolution on ECG Signals
Fiky Anggara, Satria Mandala. 2025. Cites: paper

A Novel Noise-Resilient and Explainable Machine Learning Framework for Accurate and Robust ECG-Based Heart Disease Diagnosis
Abdullah Alhalabi, Saleh I. Alzahrani, Lamia Al Saikhan et al. medRxiv, 2025. Cites: dataset

Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour et al. Medical Image Analysis, 2025. Cites: paper

SLM-MEEF: ECG Report Generation based on Small Language Model and Multi-Expert Ensemble Framework
Fei Hu, Yihai Fang, Wenjie Si et al. Chinese Control Conference (CCC), 2025. Cites: paper

Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection
Huayu Li, Zhengxiao He, Xiwen Chen et al. Journal of Healthcare Informatics Research, 2025. Cites: paper

ECG Statement Classification and Lead Reconstruction Using CNN-Based Models
Kiriaki J. Rajotte, Bashima Islam, Xinming Huang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

An Improvement on Class-Imbalanced Cardiovascular Disease Classification using Spectrogram-based 12-Lead ECG
Phuong Linh Nguyen, Hoang Bach Vu, Minh Khang Trinh et al. International Conference on Health Science and Technology (ICHST), 2025. Cites: paper

Improving age prediction using ECG signals: Insights into lifestyle impacts
Jiahao Wang, Yan Li, Yaqi Liu et al. Journal of Electrocardiology, 2025. Cites: paper

A Deep Learning Approach for Affect Detection: Does Biometric Data Improve Fairness?
Dayan Eam, Young‐Bae Ko. International Conference on Smart Applications, Communications and Networking (SmartNets), 2025. Cites: paper

An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM
Zhiyuan Li, Yuanyuan Tian, Yanrui Jin et al. Knowledge-Based Systems, 2025. Cites: paper

Flexible dual-gated synaptic transistor for integrated physiological signal recognition
Muhammad Irfan Sadiq, Muhammad Zahid, Jiaying Gong et al. Applied Physics Letters, 2025. Cites: paper

РАЗРАБОТКА СИСТЕМЫ МОНИТОРИНГА ЭЛЕКТРОКАРДИОГРАММ НА ОСНОВЕ МИКРОКОНТРОЛЛЕРА ESP8266
Айсайти Байшань, Юрий Алексеевич Загорулько. System Informatics, 2025. Cites: paper

Adapting 12-Lead ECG AI Model to 1-Lead Smart Watches for Diagnosis in Clinical Heart Failure Patients
Philip Hempel, Tabea F. A. Steinbrinker, Lennart Graf et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

A Transformer-Based Framework with Dynamic Multiscale Attention Mechanisms for 12-Lead ECG Synthesis
Tanay Chitlur, Nagabhushan Chitlur, Ajay Tripuraneni. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Classifier-Guided Diffusion Model for Generating Disease-Specific ECG Data: A Case Pilot Study on Inferior Myocardial Infarction
Hongtao Chen, Shota Kato, Kana Eguchi et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Curriculum Learning using Real and Simulated Data in Deep Learning Models for Electrocardiography Classification
Sebastian Schmale, Philip Hempel, Nicolai Spicher. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation
Bálint Tóth, Dominik Senti, Thorir Mar Ingolfsson et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting
Mahad Ali, Curtis R. Lisle, Patrick W. Moore et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Lightweight Data-driven ECG Classification Approach with Explainable CAM Output
Rytis Augustauskas, Ana Santos Rodrigues, Daivaras Sokas et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Pic2Diagnosis: A Method for Diagnosis of Cardiovascular Diseases from the Printed ECG Pictures
Oğuzhan Büyüksolak, İlkay Öksüz. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: dataset

Quantifying Cardiovascular Wellbeing Through ECG Age: Acquisition Constraints and the Case for Handcrafted Features
Mohammed Yusuf Ansari, Raffaella Righetti, Marwa Qaraqe. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Robust ECG Classification using Mamba and Self-Supervised Representation Learning
Ivan Halim Parmonangan, Tharindu Fernando, Simon Denman. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Text-to-ECG: a Framework to Generate 12-Lead ECG from Text Reports
Fabrizio Cattozzo, Sara Battiston, Massimo Walter Rivolta et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

U-Net Based Decomposition of Respiratory Surface Electromyography for Removal of Cardiac Artifacts
Morten G. Vorborg, Jacopo de Araujo, Sadasivan K Puthusserypady et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Efficient Keyset Design for Neural Networks Using Homomorphic Encryption
Youyeon Joo, Seungjin Ha, Hyunyoung Oh et al. Sensors, 2025. Cites: paper

A comprehensive review of AI-Based detection of Arrhythmia using Electrocardiogram (ECG)
Ahtisham Ayyub, Christos Politis, Muhammad Arslan Usman. Computers in Biology and Medicine, 2025. Cites: paper

Enhancing automatic multilabel diagnosis of electrocardiogram signals: A masked transformer approach
Ya Zhou, Xiaolin Diao, Yanni Huo et al. Computers in Biology and Medicine, 2025. Cites: paper

TAC-ECG: A task-adaptive classification method for electrocardiogram based on cross-modal contrastive learning and low-rank convolutional adapter
Rongjia Wang, Xunde Dong, Xiuling Liu et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Artificial intelligence for electrocardiographic diagnosis of perioperative myocardial ischaemia: a scoping review
Anne E. Kim, Mitchell Chatterjee, Alla Iansavitchene et al. British Journal of Anaesthesia, 2025. Cites: paper

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