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

Privacy-preserving adaptive arrhythmia monitoring with wearable ECG, smartphone PPG, and federated on-device learning
Aneta Kartali, Marija Koshtrevska, S. Jokić et al. Frontiers in Digital Health, 2026. Cites: paper

Unified digital biomarker platform for wearable devices assuring integrity, heterogeneity, and scalability
Yeonho Yoo, Junseok Lee, Seungwoo Jung et al. Scientific Reports, 2026. Cites: paper

Wolff-Parkinson-White Detection at 471:1 Class Imbalance: A Leakage-Controlled Study of the Data Bottleneck
Nathael Altman. arXiv (Cornell University), 2026. Cites: paper

Arbitrary single-lead to 12-lead ECG reconstruction via convolutional mamba-UNet with physiological constraints
Xingyu Chen, Xianyou Zeng, Quansheng Xu et al. Neurocomputing, 2026. Cites: paper

QoQ-Med3: a multimodal reasoning foundation model for clinical analysis
David Dai, Jeannie She, Jiaee Cheong et al. npj Digital Medicine, 2026. Cites: paper

A unified 12-lead ECG-language model for interpretation and clinical-endpoint prediction
Rohan Banerjee, Juliette Beaulieu, Nicolas Dostie et al. medRxiv, 2026. Cites: paper

Leipzig heart center ECG-database: arrhythmias in children and patients with congenital heart disease
Sophia Klehs, Daniel Franke, Bayhas Alhamad et al. Physiological Measurement, 2026. Cites: paper

A Neuro-Fuzzy Digital Twin for Interpretable Cardiac Disease Recognition
Marta Narigina, Andrejs Romānovs, Jurijs Merkurjevs. Applied Sciences, 2026. Cites: paper

Performance of large language models in electrocardiogram interpretation: A comparative study
Gregory W. Chai, Samuel J.Y. Chen, Jasmine Yang et al. Journal of Electrocardiology, 2026. Cites: paper

BioPsych-SPIO: Adaptive Optimization Aware Psychologically Inspired Explainable Multimodal Deep Learning Framework for Long Horizon Mental Stress Progression Forecasting
S. Vidya Priya Darcini, S. Jayanthy. Applied Artificial Intelligence, 2026. Cites: paper

CLAD-ECG: Cross-Lead Adaptation and Distillation for Smartwatch Single-Lead ECG Risk Assessment with LLM-Assisted Prompting
Yue Wang, Xifan Yin, Kunyi Zhou. Lecture notes in computer science, 2026. Cites: paper

Battery-aware approximate wireless telemetry framework for resilient wearable ECG monitoring under extreme power constraints
Mohamed Naeem. Scientific Reports, 2026. Cites: paper

A systematic review of ECG arrhythmia classification: embedded feasibility, adherence to standards, and fair evaluation
Guilherme A. L. Silva, Pedro H. L. Silva, Gladston J. P. Moreira et al. Research on Biomedical Engineering, 2026. Cites: paper

Scaling ECG Foundation Models and Identifying a Threshold for Effective Representation Learning
Raghav Sriram, Ivan Nenadic, Elan Shahrabani et al. medRxiv, 2026. Cites: paper

Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogram Arrhythmia Diagnosis
Dai Jin, Qiuzhen Zhang, Chenyun Dai et al. arXiv (Cornell University), 2026. Cites: dataset, paper

Quantifying the complexity of trajectory ensembles with clustering-weighted multivariate multiscale sample entropy
Chenxiao Tian, Jürgen Hackl. arXiv (Cornell University), 2026. Cites: paper

Automated analysis of wearable ECG: machine learning methods, preprocessing pipelines, and benchmark datasets
Bartosz Puszkarski. Physiological Measurement, 2026. Cites: paper

Auxiliary-conditioned cross-attention with physiologically interpretable features for chagas disease detection from 12-lead ECGs
Hyuno Im, Nahyun Lee, Taeyoung Kang et al. Physiological Measurement, 2026. Cites: paper

Quantized ECG representations unlock comprehensive cardiac understanding
Zirui Wang, Yizhuo Feng, Qiuling Yang et al. npj Artificial Intelligence, 2026. Cites: dataset

REISA: An Electrocardiogram Diagnostic Model Based on Retrieval-Augmented Generation and Instruction-Driven Spatial Addressing
Mingrui Li, Hangzhou Wang, Ziyang He et al. Lecture notes in computer science, 2026. Cites: paper

Accurate overall, uneven by patient: a benchmark and demographic audit of deep learning for 12 lead ECG classification on PTB-XL
Ahmad Durre Rehman, Samavia Nazir. medRxiv, 2026. Cites: paper

Consistency-aware structural modeling of time-series signals via learnable spectral-image transform
Xinyue Wang, Xiangdong Chen. Digital Signal Processing, 2026. Cites: paper

NODEFit: Fit time-series data with a Neural Differential Equation
Pavan B. Govindaraju. Proceedings of the Python in Science Conferences, 2026. Cites: paper

Advances in the Interpretation of the Electrocardiogram by Artificial Intelligence
S. Suave Lobodzinski, Ryszard Piotrowicz. Diagnostics, 2026. Cites: paper

Multicenter real world validation of on device single lead ECG parameters for remote cardiac assessment
Sumei Fan, Deyun Zhang, Yue Wang et al. npj Cardiovascular Health, 2026. Cites: paper

Fractional Tangent Search Hiking optimization enabled Squeezenet for post-COVID heart health monitoring in Federated Learning
Mohammed Abdul Basith Ali Khan, Deepak Chamarthi, Edara Sreenivasa Reddy. International Journal of Intelligent Robotics and Applications, 2026. Cites: dataset

HashGuard-FL: Learnable Hash-Based GAN Discriminator with Post-Quantum Audit Trail for Federated Learning Integrity
Nilima Dongre. Research Square, 2026. Cites: paper

Resource-efficient and fair spatial graph attention networks for edge-based multi-label cardiac abnormality detection
Mohamed Naeem. Applied Soft Computing, 2026. Cites: paper

ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening
Shreyasvi Natraj, Cyrus Achtari, Felice Gragnano et al. arXiv (Cornell University), 2026. Cites: paper

Multi-view Masked ECG Representation Learning with Hierarchical Fuzzy Memory
Tianyi Zhou, Yuepeng Chen, Wei Zhang et al. Lecture notes in computer science, 2026. Cites: paper

Learning general representation of 12-lead ECG with a joint-embedding predictive architecture
Sehun Kim. Neural Networks, 2026. Cites: paper

Deep learning for heart disease anomaly detection: performance factors and algorithms
Hong Zhou, Duc-Anh Nguyen, Nhien‐An Le‐Khac. Artificial Intelligence Review, 2026. Cites: paper

FedDh: Dual-hypernetwork-based federated transfer learning framework for personalized myocardial infarction localization
Shuaiying Yuan, Zhe Wang, Yongkang Qin et al. Pattern Recognition, 2026. Cites: paper

Cross-Frequency ECG R-Peak Detection via Low-Sampling Morphological Learning with Physiological Temporal Constraints
Yutaka Yoshida, Kiyoko Yokoyama. Signals, 2026. Cites: paper

Membership inference attacks expose participation privacy in ECG foundation encoders
Ziyu Wang, Elahe Khatibi, Ankita Sharma et al. Smart Health, 2026. Cites: paper

Augmenting single-lead ECG interpretation through QRS waveform decomposition and rotation
W. Brian Chiu, Faisal Amlani, Derek G. Rinderknecht. Physiological Measurement, 2026. Cites: dataset, paper

Dual-FreqDAE: Frequency-aware dual-branch transformer autoencoder for ECG denoising in mixed noise conditions
Dong-Hun Choi, Jeong-Hyeon Moon, Kyung-Ah Sohn. Biomedical Signal Processing and Control, 2026. Cites: paper

Dual warm-start fusion versus attention-based fusion in low-label ECG–PCG classification: a controlled ablation study
Erkan Kıymık. Physiological Measurement, 2026. Cites: dataset, paper

ECG-image-database: large-scale paired ECG images and time-series with real-world artifacts; a foundation for computerized ECG digitization and analysis
Matthew A. Reyna, Deepanshi Deepanshi, James Tyler Weigle et al. Physiological Measurement, 2026. Cites: paper

Inter-patient multi-label ECG classification via low-rank adaptation fine-tuned large language models with dynamic graph convolutional network
Yuhao Cheng, Lirong Wang. Physiological Measurement, 2026. Cites: paper

A Deep Learning Based Framework Using Multidimensional Feature Fusion for Cardiovascular Disease Classification
Hossam Al-Sayed Mohammed, Gehad Ismail Sayed. Intelligent Methods, Systems, and Applications (IMSA), 2026. Cites: paper

An Explainable Deep Learning Framework for the Differential Diagnosis of Left Ventricular Hypertrophy amid confounding Myocardial Infarction features
Gayathiri R R, Arya Bhardwaj, Bala Chakravarthy Neelapu et al. IEEE International Conference on Instrumentation (INSTCon), 2026. Cites: paper

Anti-aliasing-enhanced WaveUNet for clinically reliable 12-lead ECG reconstruction from limited 3-lead input
Mine ONAT, Hazret Tekin, Yılmaz Kaya. Medical & Biological Engineering & Computing, 2026. Cites: paper

Automated Diagnosis of Myocardial Infarction and ST-T Abnormalities Using Hybrid CNN–RNN Models with Ensemble Focal Loss
Mohammed Majbah Uddin, Kazi Shaharair Sharif, Touhid Imam et al. International Conference on Electronics Representation and Algorithm (ICERA), 2026. Cites: paper

Automated Digitization and Signal Separation in Overlapping ECG Papers using Deep Learning
Jauza Zahra Ulaya, Ema Rachmawati, Edward Ferdian. 2026. Cites: paper

CNN-Based Lead Ranking of QRST-Suppressed Atrial ECG for Atrial Fibrillation Detection
Suryalakshmi Suresh, Arya Bhardwaj, Bala Chakravarthy Neelapu et al. IEEE International Conference on Instrumentation (INSTCon), 2026. Cites: paper

EKG Skalograflarının CLIP Tabanlı Sıfır-Atışlı Sınıflandırmada Spektrogramlara Üstünlüğü
Mehmet Fidan, Derya Umut Kulali, G. O. Y. Laitinen-Fredriksson Lundström-Imanov. Signal Processing and Communications Applications Conference (SIU), 2026. Cites: paper

Explainable Arrhythmia Detection from ECG Signals Using CNN and GRAD-CAM
Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab. Aziz. 2026. Cites: paper

Introducing Echo Networks for Computational Neuroevolution
Christian Kroos, Fabian Kuech. International Conference on Advanced Machine Learning and Data Science (AMLDS), 2026. Cites: paper

PatchTST-ECG: A Patch-Based Transformer Framework for Multi-Level ECG Classification
Weifeng Zhou, Zhizheng Lv, Yuxiang Yang. International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC), 2026. Cites: paper

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