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

AI-based Multi-Module Healthcare System for ECG Analysis, Body Metrics Evaluation, and Medicine Identification
N.N. Baalakumar, S. Prabakar, Nandhakumaran S et al. International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), 2026. Cites: paper

ALTNet: A Transformer-Based Model for ECG Classification with Missing Leads
Khushi Gilhotra, Yogesh Lohumi, Durgaprasad Gangodkar. International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S), 2026. Cites: paper

CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation
Elahe Khatibi, Ziyu Wang, Ankita Sharma et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

Deep Learning Based ECG Signal Classification Using PTB-XL Dataset
K N Chaithra, Skanda S, Rachana J S et al. 2026. Cites: paper

ECG Time-Series Modeling Under Dataset Shift: A Structured Survey of Methods, Benchmarks, and Reliability Challenges
Mahira Tabassum Khan, Selena He. International Conference on Intelligent Multimedia, Networking, and Security (IMNS), 2026. Cites: paper

Ensemble of Hybrid CNN–RNN Architectures for Robust ECG Abnormality Classification
Plato Chakma, Md Jahangir Alam, Md Mahbub Hasan et al. International Conference on Smart Science and Technology (IncoSST), 2026. Cites: paper

Evaluation of ECG Leads in Myocardial Infarction Detection using 2-D Convolutional Neural Networks: Single, Addition-Subtraction, and Overlayed
Agung Wahyu Setiawan. International Electronics Symposium (IES), 2026. Cites: paper

MeDeA: Decomposable attention for intrinsically interpretable ECG diagnosis
Yulong GE, Yingying Wang, Qing Ming et al. Virtual Reality & Intelligent Hardware, 2026. Cites: paper

MSCAT-Net: Multi-Scale Cross-Attentive CNN-Transformer for ECG Classification
Jiayu Zhi, Duocai Jiang, Tian Liang et al. International Conference on Advanced Algorithms and Neural Networks (AANN), 2026. Cites: paper

Mutual Cross-Attention–Guided ECG-Report Alignment for ECG Representation Learning
Shuai Wang, Wei William Wang. IEEE International Conference on Smart Internet of Things (SmartIoT), 2026. Cites: paper

Performance Analysis of MELP, ZETA, and the Evidence-Gated Fusion Model on PTB-XL
Zhicheng Qiao. International Conference on Computer Vision and Data Mining (ICCVDM), 2026. Cites: paper

Resource-aware continuous ECG monitoring with selective cloud escalation and exact decision reuse
Mohammed Chaouqi, Latifa Doudach, Achraf Benba. Biomedical Physics & Engineering Express, 2026. Cites: dataset, paper

Sampling frequency has architecture-dependent effects on electrocardiogram deep learning classification: Convolutional neural networks are robust, whereas transformers benefit modestly
Cole Freedman, Syed Zawahir Hassan, Maximo Alvarez et al. Heart Rhythm, 2026. Cites: paper

Smart Myocardial Infarction Detection System Using Deep Learning, Ensemble Classifiers, and Explainable Artificial Intelligence from Single-Lead ECG Signals
Lamba Renuka, Maheswari K, Bagam Laxmaiah et al. IEEE World Conference on Applied Intelligence and Computing (AIC), 2026. Cites: paper

ViT-MI: Imbalance-Aware Vision Transformer Benchmarking for Multi-Class Myocardial Infarction Detection from ECG Images
Imelda Tyas Melati Kiyanayu, Satria Mandala, Santoso Wibovo. International Conference on Information Management and Technology (ICIMTech), 2026. Cites: paper

When PPG Meets ECG: Uncovering the Risks of Cross-Modal Biometric Matching
Linfeng Zhu, Kunning Shen, Chenhan Xu et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

A physics-driven deep unrolling framework with multiscale attention for multichannel Magnetocardiography denoising
Xiaokang Geng, Xiangyang Zhou, Changxu Zhu et al. Measurement, 2026. Cites: paper

Системный анализ трёхэтапной схемы сегментационного предобучения для выявления признаков инфаркта миокарда по электрокардиограмме в 12 отведениях
Сергей Анатольевич Атарщиков, Максим Юрьевич Орт, Конорева Наталья Анатольевна et al. Clinical and Fundamental Medicine, 2026. Cites: paper

A lightweight hybrid framework integrating convolutional neural networks and fast Fourier transform for reliable and calibrated ECG-based cardiac abnormality detection
Abdoul Malik, Selim Aras. PLoS ONE, 2026. Cites: paper

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

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

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

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

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

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

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

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

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

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