Publications citing Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 v1.0.2

Lead-adaptive self-supervised ECG representation model for multi-scenario ECG monitoring
Zhiyuan Li, Yuanyuan Tian, Xiaoyang Wei et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Comparative performance analysis of hybrid deep learning architectures for automated classification of 50 cardiac arrhythmia classes
Sureshkumar Sundaramoorthy, Govardhan Karunanidhi. Array, 2026. Cites: paper

Artificial Intelligence for Cardiac Ischemia Detection: A Review of Biosensor, Biomarker, and Imaging Applications
James Choi, Omar Seyam, Dhruva Biswas et al. Sensors, 2026. Cites: paper

A Fast and Generalizable Deep Neural Network for the Detection of Atrial Fibrillation
Harshit Mishra, Farhan Adam Mukadam, Nachiket Makwana et al. Bioengineering, 2026. Cites: paper

Multi-scale temporal feature fusion and lead-graph attention for multi-label classification of 12-lead ECGs
Feiyan Zhou, Mingyang Li. Physiological Measurement, 2026. Cites: dataset, paper

Leveraging the wearable 1-lead ECG signal. From cardiac rhythm to cardiac function assessment
Viktor van der Valk, Douwe E. Atsma, Roderick Scherptong et al. npj Cardiovascular Health, 2026. Cites: paper

Reconstructive information content of ECG leads and electrodes in premature ventricular contractions: an exhaustive, dual-population study
Fatih KÖKSAL. Journal of Electrocardiology, 2026. Cites: paper

RELIABILITY-AWARE ARTIFICIAL INTELLIGENCE FOR MULTILABEL ELECTROCARDIOGRAM DIAGNOSIS
Dias Konyspayev, Batyrkhan Kuzenbayev, Nurlybay T. Abatov et al. Scientific Journal of Astana IT University, 2026. Cites: paper

Cross-Modal Concept Transfer: From ECG Signals to Images for Explainable Disease Prediction
Chan Lee, Dasom Noh, Minjy Suh et al. Lecture notes in computer science, 2026. Cites: paper

Higher-dimensional embedding of time-series data for machine learning
Karan Singh, Pingal Pratyush Nath, Urbasi Sinha et al. Frontiers in Artificial Intelligence, 2026. Cites: paper

A 28.5 nW Analog Circuit Implementing the Pan–Tompkins Algorithm for Heart Rate Monitoring in Pacemakers Dedicated to Small Animals
Quentin Vermot des Roches, Émilie Avignon-Meseldzija, Anthony Kolar et al. Journal of Low Power Electronics and Applications, 2026. Cites: paper

I-GraphECG: Observability-Based Lead Selection and Interpretable Disease Prediction from the 12-Lead ECG Using a Gray-Box Graph Electrophysiology Surrogate
Limin Zhao, Hongtao Xu, Pengjian Wang et al. Sensors, 2026. Cites: paper

Masked autoencoder with adaptive Time–Frequency Cross-Attention for ECG arrhythmia classification
Hailun Wang, Yuanhang Li, Jiaqi Deng et al. Biomedical Signal Processing and Control, 2026. Cites: paper

From Prediction to Confidence: A Survey of AI-Based ECG Uncertainty Quantification Methods
Ibrahima Sy, Ndeye Fatou Ngom, Cheikh H. T. C. Ndiaye. Lecture notes in networks and systems, 2026. Cites: paper

Accelerating Training of Neural Network ECG Arrhythmia Classification Using Segmentation Information
Lev L. Kalashnikov, Dmitry A. Rostov, Lev A. Smirnov. Scientific School Dynamics of Complex Networks and their Applications (DCNA), 2026. Cites: paper

Discriminative Capability of Classical HRV Features for Ultra-Short-ECG Arrhythmia Classification
Juan Arturo Zavaleta-Cavero, Maria Alejandra Flores-Perez, Ana L. Espinoza-Quispe et al. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), 2026. Cites: paper

ESTI: Evolutionary Signal and Time-Series Inspection for Auditing ECG Classifiers
Yan Aquino, Pedro Bento, Arthur Buzelin et al. Lecture notes in computer science, 2026. Cites: paper

Normalized risk-based evaluation of machine learning–based classification models: A multiclass approach with applications in medical devices
Julius Wiggerthale, Martin Haimerl, Christoph Reich. Journal of International Medical Research, 2026. Cites: paper

Ultra-low communication overhead federated learning strategy for distributed wearable ECG networks
Mohamed Naeem. Journal of King Saud University - Computer and Information Sciences, 2026. Cites: paper

From PhysioNet to foundation models—a history and potential futures
Gari D. Clifford. Physiological Measurement, 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

Explainable electrocardiogram interpretation using deep learning–based semantic segmentation
Bauke K. O. Arends, Bas B.S. Schots, Parmenion Koutsogeorgos et al. European Heart Journal - Digital Health, 2026. Cites: paper

A CNN–BiLSTM Framework for Robust Arrhythmia Classification Using 12-Lead ECG Signals
Thi Thanh Tam Nguyen, Thi Thanh Sang Nguyen, Loan T. T. Nguyen. Lecture notes in computer science, 2026. Cites: paper

TFC-MAE: A Time-Frequency Cross-Attention Masked Autoencoder for ECG Signals
Hailun Wang, Long Pu, Gang Li. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2026. Cites: paper

Held-Out Multi-Source ECG Rhythm Classification with Attribution-Based Model-Behavior Inspection
Sen Zhang, Chao Liu, Qingfeng Li et al. International Conference on Big Data and Intelligent Medicine (BDIMed), 2026. Cites: paper

Cross-domain transfer learning strategy enhances interpretability of deep learning model explanations
Matteo Zannini, Alexander Hammer, Hagen Malberg et al. Scientific Reports, 2026. Cites: paper

GAMENet: Gender-Aware Morphology Encoder Network for Early Ischemia Heart Disease Classification
C Deepti, Annapurna Dammur. Informatics, 2026. Cites: paper

From one to twelve: feasibility and clinical utility of deep learning-derived 12-lead ECGs for remote cardiac monitoring
H Hu, Zekai Yu, Feiwei Qin et al. Frontiers in Cardiovascular Medicine, 2026. Cites: paper

Attention Based Hierarchical Modeling of EKGs for Interpretable Cardiac Disease Detection
Eyiara Oladipo, Sarwar Nazrul, Mario Padilla Rodriguez et al. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Transfer Learning for ECG Classification: Effects of Shared Labels, Granularity, and Fine-Tuning in Small Clinical Datasets
Chito Patiño, Matti Kaisti, Tapio Pahikkala et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

ECGFusion: Multi-modal deep fusion of time-series and spectral representations for heart disease detection
Loc X. Tran, Minh N. Bach, Quang H. Nguyen. Biomedical Signal Processing and Control, 2026. Cites: paper

TrustHeart: Explainable and Privacy-Preserving AI Architecture for Trustworthy Cardiac Monitoring in IoMT Consumer Applications
Q Liu, Jingwen Tang, Jingsong Shen et al. IEEE Transactions on Consumer Electronics, 2026. Cites: paper

A diffusion-enhanced classification system for physiological signal-based diagnosis
Haotian Tang, Hanyu Cui, Xidong Wu et al. Expert Systems with Applications, 2026. Cites: paper

Interpretable Hybrid CNN-BiLSTM-Attention Model for ECG Arrhythmia Classification
Sapargul Ordobaeva, Selcuk Cankurt, Ualikhan Sadyk. IEEE International Conference on Smart Information Systems and Technologies (SIST), 2026. Cites: paper

L-BiTMix: A Lightweight Channel-Mix Temporal Convolutional Network for ECG Analysis
Yi Zhao, Chenyang Xu, Hao Wang. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

Training Strategies for Imbalanced Single-Task and Multitask Electrocardiogram Classification
Joshua Tiffany, Qi Zhang. Conference proceedings - Canadian Conference on Electrical and Computer Engineering, 2026. Cites: paper

Cardiovascular Risk Prediction Using ECG via a Time–Frequency Embedding Pre-Trained Model
Junhao Lin, Guanhua Ren, Changhong Jing et al. IEEE Transactions on Consumer Electronics, 2026. Cites: paper

AdaGrad-Fusion: Adaptive Gradient Fusion for Memory-Efficient ECG Foundation Model Fine-Tuning
Chenyang Xu, Yi Zhao, Z Zhang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring
Jinbo Chen, Haoyu Wang, Guixin Xu et al. Advanced Science, 2026. Cites: paper

Toward robust automated cardiovascular arrhythmia detection using self-supervised learning and 1-dimensional vision transformers
Mitchell John Violini Chatterjee, A. D. C. Chan, Majid Komeili. Scientific Reports, 2026. Cites: paper

An augmented ECG data based classification for arrhythmia using optimal feature set
Mohammad Shahnawaz, Nikhil Kumawat, Tinku Singh et al. Health Information Science and Systems, 2026. Cites: paper

A joint CNN-Bi-LSTM-transformer architecture with SHAP explanations for multi-label arrhythmia detection from 12-lead ECGs
Mohammed T. Al-Bairmani, Mohammadreza Yazdchi, Fahimeh Nasimi. Scientific Reports, 2026. Cites: paper

Four-electrode ECG reconstruction using anatomically grounded synthetic leads: a physiological measurement framework with hybrid CNN-transformer mapping
Rugved B. Parmar, Daoud Eldawud, Md Fahim et al. Physiological Measurement, 2026. Cites: paper

Robust multilabel ECG classification under class imbalance using augmentation and adaptive iterative training
Joshua Tiffany, Qi Zhang. Biomedical Signal Processing and Control, 2026. Cites: paper

Deep Learning Decodes Latent ECG Signatures of Stress Cardiomyopathy
Jooyoung Ryu, Carl Harris, Chenjia Zhang et al. medRxiv, 2026. Cites: paper

Contactless 12-lead electrocardiogram via deep computational radar
Zhi Peng Lu, Jinbo Chen, Dongheng Zhang et al. npj Biomedical Innovations., 2026. Cites: paper

Application of Graph Neural Networks on ECG Data: A Systematic Literature Review
Alissa Müller, Manuel Scheibl, Tobias Uhe et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Gml-PAF: A Generalizable Machine Learning Algorithm for Paroxysmal Atrial Fibrillation Detection based on Short-Term Inter-Beat Intervals
Yongjun Song, Jihui Fan, Zikun Yang et al. Computer Methods in Biomechanics & Biomedical Engineering, 2026. Cites: paper

Designing a Multimodal Dataset for AI-Based Prognosis in STEMI
Simone Bartucci, Edoardo De Rose, Alessandro Quarta et al. Communications in computer and information science, 2026. Cites: paper

FedShield: Configurable Mean–Median Robust Aggregation for Poisoning-Resilient Federated Healthcare-IoT Learning
Abdulaziz Saleh Alajaji, Maryam Jamal Alablani, Mohammad Mehedi Hassan. IEEE Access, 2026. Cites: paper

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