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

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

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

Towards Automated CVD Diagnosis: Deep Learning-based ECG Feature Extraction*
Youssif Abuzied, Hassan Abd-Eltawab, Abdelrhman Gaber et al. IEEE Symposium on Computers and Communications (ISCC), 2025. Cites: paper

Overcoming data scarcity in life-threatening arrhythmia detection through transfer learning
Giuliana Monachino, Beatrice Zanchi, Michael Wand et al. Communications Medicine, 2025. Cites: paper

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network
Samin Yaser, Muhammad E. H. Chowdhury, Rusab Sarmun. Computers in Biology and Medicine, 2025. Cites: paper

ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis
Yubao Zhao, Jiaju Kang, Tian Yao Zhang et al. IEEE International Conference on Multimedia and Expo (ICME), 2025. Cites: paper

An Electrocardiogram Foundation Model Built on over 10 Million Recordings
Jun Li, Aaron D. Aguirre, Valdery F. Moura Junior et al. NEJM AI, 2025. Cites: paper

DeepSemComm: a deep learning-based semantic communication framework with case studies in text and biomedical signal transmission
Bura Vijay Kumar, Bhavana Jamalpur. The European Physical Journal Plus, 2025. Cites: paper

MultiECGNet: A novel deep learning-based multi-format ensemble method for image-based electrocardiographic diagnosis of atrial fibrillation
Justin Anh-Kiet Phan, George Parker, Nigel Hamilton Lovell et al. medRxiv, 2025. Cites: paper

ECGFM: A foundation model for ECG analysis trained on a multi-center million-ECG dataset
Shaoting Zhang, Yishan Du, Wenji Wang et al. Information Fusion, 2025. Cites: paper

Reconstructing ECG from indirect signals: a denoising diffusion approach
Lisa Bedin, Yazid Janati, Gabriel Victorino Cardoso et al. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2025. Cites: paper

Diffusion-based high dimensional subspace mapping for ECG generation with structured state space models
Baofeng Zhu, Chengbao Peng, Xia Zhang et al. Applied Intelligence, 2025. Cites: paper

Effect of Sampling Rate on ECG Deep Learning Classifiers
Sristi Dakshit, Sagnik Dakshit, Balakrishnan Prabhakaran. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper

Multi-Class Cardiovascular Disease Diagnosis using Temporal Convolutional BiLSTM Model
Akriti Jaiswal, Samarendra Dandapat, Prabin Kumar Bora. IEEE Guwahati Subsection Conference (GCON), 2025. Cites: paper

Uncertainty‐Guided Diffusion Model for High‐Fidelity ECG Synthesis and Classification
Qi Zhang, Hongyan Li. Expert Systems, 2025. Cites: paper

DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information
Yongfan Lai, Jiabo Chen, Qinghao Zhao et al. Patterns, 2025. Cites: paper

Siamеse Neural Network’s Models for Cardiac Arrhythmia Classification in the Conditions of Shortage of Training Ecg Signals
Anton Mnevets, Nataliia Heorhiivna Ivanushkina. Microsystems Electronics and Acoustics, 2025. Cites: paper

Contribution to the Development of Intelligent Systems for Multi-Lead ECG Signal Classification Using Convolutional Neural Networks
Bilgin Demir, Zhilbert Tafa. Mediterranean Conference on Embedded Computing (MECO), 2025. Cites: paper

Cardiac pathology classification with one-dimensional convolutional neural network
Thomas Sponchiado Pastore, Gabriel de Oliveira Ramos, Jean Schmith. 2025. Cites: paper

Classificação de Doença Arterial Coronariana através de redes neurais profundas
Diogo Casal Ferreira, Alexei Manso Correa Machado. 2025. Cites: paper

Deep unsupervised domain adaptation for time series classification: a benchmark
Hassan Ismail Fawaz, Ganesh Del Grosso, Tanguy Kerdoncuff et al. Data Mining and Knowledge Discovery, 2025. Cites: paper

Federated Learning for Early Cardiac Anomaly Prediction in Cross-Silo IoMT Environments
Michael Georgiades, Lakis Christodoulou, Andreas Chari et al. International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025. Cites: paper

A survey of transformers and large language models for ECG diagnosis: advances, challenges, and future directions
Mohammed Yusuf Ansari, Mohammed Yaqoob, Mohammed Ishaq et al. Artificial Intelligence Review, 2025. Cites: paper

CVD- TransNet: Cardiovascular Disease Classification Using Transfer Learning Based Convolutional Neural Networks with Electrocardiogram Signal
J. Priyadharshini, M. Madheswaran. Journal of Electrical Engineering and Technology, 2025. Cites: paper

Large Language Model-assisted multi-scale hierarchical classification of ECG signals
Qianjiang Chen, Cheng Lian, Bingrong Xu et al. Knowledge-Based Systems, 2025. Cites: paper

Diagnostics of Cardiovascular Diseases Using Recurrent and Convolutional Neural Networks
Vladislav V. Kuznetsov, V. A. Moskalenko, Nikolai Yu. Zolotykh. Pattern Recognition and Image Analysis, 2025. Cites: paper

Time series anomaly detection via temporal relationship graphs and adaptive smoothing
Rongfei Ma, Yuhao Ma, Xiufeng Liu. Applied Soft Computing, 2025. Cites: paper

Deep learning model for ECGreconstruction reveals theinformation content of ECG leads
T. Gradowski, Teodor Buchner. Bio-Algorithms and Med-Systems, 2025. Cites: dataset, paper

Knowledge-Driven Graph Representation Learning for Myocardial Infarction Localization
Feng-Yi Guo, Ying An, Hulin Kuang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

A multi-scale CNN-Transformer parallel network for 12-lead ECG signal classification
Long Wei, Yang Li. Signal Image and Video Processing, 2025. Cites: paper

A novel method for cardiac disorders prediction based on wavelets and weighted visibility graph insights
Rawaa Mejri, Hela Mahersia, Youssef Zied Elhechmi. Biomedical Signal Processing and Control, 2025. Cites: paper

A pediatric ECG database with disease diagnosis covering 11643 children
Jian Tan, Haoyi Fan, Jiawei Luo et al. Scientific Data, 2025. Cites: dataset, paper

A Comprehensive CNN-LSTMA Model for Cardiovascular Disease Diagnosis
Ch. Mohan Sai Kumar, N. Mouniswar Reddy, M. Lokesh et al. International Conference for Emerging Technology (INCET), 2025. Cites: paper

ECG Adaptive Synthesis With Multigranular Fuzzy EASNN: Enhancing Wearable Cardiac Monitoring
Fan Fu, Jiamin Liu, Bosheng He et al. IEEE Transactions on Fuzzy Systems, 2025. Cites: paper

Multi-label Few-Shot Classification of Abnormal ECG Signals Using Metric Learning
Yuhao Cheng, Deyin Li, Jiacheng Li et al. Circuits Systems and Signal Processing, 2025. Cites: paper

Causal ECGNet: leveraging causal inference for robust ECG classification in cardiac disorders
Mei Wang, Cong You, Wei Zhang et al. Frontiers in Physiology, 2025. Cites: paper

Transfer learning in ECG diagnosis: Is it effective?
Cuong V. Nguyen, Cuong Do. PLoS ONE, 2025. Cites: paper

Cross-Database Learning Framework for Electrocardiogram Arrhythmia Classification Using Two-Dimensional Beat-Score-Map Representation
Jaewon Lee, Miyoung Shin. Applied Sciences, 2025. Cites: paper

Compression Meets Security: Low-Complexity Linear Collaborative Federated Learning With Enhanced Accuracy
Tianshun Wang, Peichun Li, Panpan Feng et al. IEEE Transactions on Mobile Computing, 2025. Cites: paper

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