Publications citing AF Classification from a Short Single Lead ECG Recording: The PhysioNet/Computing in Cardiology Challenge 2017 v1.0.0

DNN-derived electrocardiographic age is associated with the atrial fibrillation risk in a Chinese population
Deji Suona, Yusup Hoji Abdulla, Jing Yu et al. Digital Health, 2026. Cites: paper

The Evolving Role of Artificial Intelligence and Machine Learning in the Wearable Electrocardiogram: A Primer on Wearable-Enabled Prediction of Cardiac Dysfunction
Aditya Dave, Amartya Dave, Issam D. Moussa. Bioengineering, 2026. Cites: paper

AUTOMATED CLASSIFICATION OF HEMODYNAMICALLY SIGNIFICANT ARRHYTHMIAS BASED ON ECG FEATURES
Ainur Bekbay, Zh. S. Bigaliyeva, Vinera Baiturganova et al. Bulletin of Shakarim University Technical Sciences, 2026. Cites: paper

Optimizing atrial fibrillation detection through ECG feature selection using Extra-Trees and statistical association measures
Γεώργιος Πετμεζάς, Vasileios Ε. Papageorgiou, ROD S. PASSMAN et al. Journal of Electrocardiology, 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

Criteria for the Deployment of Machine Learning Models for ECG Analysis for Edge Computing
Jasmin Freudenberg, Kai Hahn, Christian Weber et al. IEEE Annual Computing and Communication Workshop and Conference (CCWC), 2026. Cites: paper

A 2D CNN Based Atrial Fibrillation Detection Using ECG Signal Transformation
Pallavi S. Mhetre, Santosh Laxman Mhetre, Sunita S Lokhande et al. Lecture notes in networks and systems, 2026. Cites: paper

BeatVision: Explainable AI for Clinician-Grade Atrial Fibrillation Detection
Saptarshi Saha, Pratyush Kumar Sahoo, Arijit Ukil et al. Communications in computer and information science, 2026. Cites: paper

Classification of Cardiac ECG Signals Using Quadratic Discriminant Analysis for Atrial Fibrillation
Marwa Mawfaq Mohamedsheet Al-Hatab, Maysaloon Abed Qasim, Kifaa Hadi Thanoon et al. Lecture notes in networks and systems, 2026. Cites: paper

End-to-end joint Margin aware BiLSTM-dSVM model for atrial fibrillation detection based on knowledge-augmented deep learning on knowledge-augmented deep learning
Raid Abdulhadi Abdulqader Alabdullah, Saratha Sathasivam, Marwa Mawfaq Mohamedsheet Al-Hatab. AIMS Mathematics, 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

Learned Class-Conditional Signal Quality Deferral for Selective rPPG Based Atrial Fibrillation Screening
Shahnawaz Khan. SSRN Electronic Journal, 2026. Cites: paper

MetaMLIR: Meta-Learning With Multilevel Integration for Motion Pattern Recognition of Maneuvering Targets
Zhenzhen Ma, Wei An, Yuan Huang. IEEE Transactions on Aerospace and Electronic Systems, 2026. Cites: paper

Signal Quality Assessment Classifiers for Wearable IoT Sensors
Arlene John, Barry Cardiff, Deepu John. Springer eBooks, 2026. Cites: paper

Towards Dataset Agnostic ECG Signal Quality Assessments for Psychophysiological Analysis
Zachary Dair, Samantha Dockray, Ruairi O’Reilly. Journal of Psychophysiology, 2026. Cites: paper

Understanding Artificial Intelligence (AI) for the Electrophysiologist
Charulatha Ramanathan, Natalia A. Trayanova. Indian Pacing and Electrophysiology Journal, 2026. Cites: paper

When and How to Focus: A Task-Dependent Analysis of Efficient Attentive Architectures for Biosignal Classification
Rami Zewail. IEEE Access, 2026. Cites: paper

3S-ECG: Three Stage Self-Supervised Model for ECG Classification
Xianhao Song, Junhao Huang, Yuqi She et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in ECG
Xu Wang, Jiaju Kang, Puyu Han et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

MTECG: A Multimodal Text-Enhanced Self-Supervised Framework for ECG Classification via Alignment with Pretrained Language Model
Erke Wang, Junhao Huang, Long Xiao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Heuristica: A Distributed System for Self-Reasoning Neuro-Symbolic Digital Twins in Ubiquitous Health Monitoring
Kun Chen, Chenyang Xu, Hao Wang. IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2025. Cites: paper

Atrial Fibrillation Detection Using FFT Magnitude Spectrum of PPG Signal with 1D CNN
Alluri Sivanji, Gangireddy Narendra Kumar Reddy. IEEE Pune Section International Conference (PuneCon), 2025. Cites: paper

Adversarial Beats: Feasibility Study of Spoofed Arrhythmia in Automated Electrocardiogram Diagnosis
Taiga Ono, Takeshi Sugawara, Jun Sakuma et al. ACM Transactions on Cyber-Physical Systems, 2025. Cites: paper

Advances in machine and deep learning for ECG beat classification: a systematic review
Allam Jaya Prakash, Abdelkader Nasreddine Belkacem, Ibrahim M. Elfadel et al. Frontiers in Digital Health, 2025. Cites: paper

A Paralleled Multi-Task Learning-Based Framework for Single-Lead ECG Fine-Grained Noise Localization, Denoising and Signal Quality Assessment
Yating Hu, Qing Liu, Zheng Zhou et al. Sensors, 2025. Cites: paper

NERULA: A Dual-Pathway Self-supervised Learning Framework for Electrocardiogram Signal Analysis
Gouthamaan Manimaran, Sadasivan K Puthusserypady, Helena Domínguez et al. Lecture notes in computer science, 2025. Cites: paper

Climate Resilience and Sustainability in Rural Agriculture: A Systematic Literature Review
Ajidhashini Thulasidass, M. Suresh. Lecture notes in networks and systems, 2025. Cites: paper

Hybrid CNN-Bidirectional LSTM Networks for Advanced ECG Signal Classification and Arrhythmia Fibrillation Detection
Md Ismail Hossain, Sarowar Hossain, Farden Alamin et al. Smart innovation, systems and technologies, 2025. Cites: paper

Optimization of the Tau Parameter in Phase Space Plots for ECG Signal Quality Assessment
Álvaro Huerta Herráiz, Pilar Escribano, Óscar Ayo Martín et al. Lecture notes in computer science, 2025. Cites: paper

Detection of electrocardiogram atrial fibrillation using modified multifractal detrended fluctuation analysis based on discrete transforms and fractional Fourier transform
Mohamed Moustafa Azmy. Discover Applied Sciences, 2025. Cites: paper

Explainable ECG Analysis by Explicit Information Disentanglement With VAEs
Viktor van der Valk, Douwe E. Atsma, Roderick W.C. Scherptong et al. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

Foundational Models in Biology: When hammering nails with a microscope makes sense
O. Mezhenskyi, D. Kravchuk. Fìzìologìčnij žurnal, 2025. Cites: paper

Multi-branch convolutional network and LSTM-CNN for heart sound classification
Seyed Amir Latifi, Hassan Ghassemian, Maryam Imani. Physical and Engineering Sciences in Medicine, 2025. Cites: paper

Spectrogram-Driven Transfer Learning for Robust Arrhythmia Classification Based on ECG Signals
V. Sangeetha, Syed Muzamil Basha. IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT), 2025. Cites: paper

Towards Intelligent and Immersive Healthcare: Edge-AI, IoMT, and Digital Twins in the Metaverse
Cédric Marco-Detchart, Leticia Curiel, Daniel Urda et al. Lecture notes in computer science, 2025. Cites: paper

Into the Wild: Reliable Physiological Sensing with on-Device Autoencoder-Based Anomaly Detection
Kevin Penner, Felix Wittenfeld, Marc Hesse et al. Wearable and Implantable Body Sensor Networks, 2025. Cites: paper

Transfer learning for predicting acute myocardial infarction using electrocardiograms
Axel Nyström, Anders J. Björkelund, Mattias Ohlsson et al. PLOS Digital Health, 2025. Cites: paper

Adaptive Deep Learning for Multimodal Cardiac Risk Prediction: A Feature Fused Multichannel Approach
Krishna Priya Remamany, Anju S Pillai, Ahmed Al Shahri. Annals of Emerging Technologies in Computing, 2025. Cites: paper

Adaptive Low-Latency Split Federated Learning With Dynamic Model Partitioning in Resource-Constrained Healthcare IoT
Arti Gupta, Ritwik, Vijay Kumar Chaurasiya. IEEE Transactions on Green Communications and Networking, 2025. Cites: paper

MI-VFDF: vector field-driven weighted fusion of multi-leads ECG-derived GAF and scalogram images for accurate myocardial infarction detection in combined neural networks
Zakaria Khatar, Dounia Bentaleb, Omar Bouattane. Multimedia Tools and Applications, 2025. Cites: paper

Federated Agentic Learning with Adaptive Privacy for Cardiovascular Anomaly Detection at the Edge
Josiah Ayoola Isong, Victor Ikenna Kanu, Simeon Okechukwu Ajakwe et al. International Conference on Information and Communication Technology Convergence (ICTC), 2025. Cites: paper

Hybrid CNN-XGBoost Framework for Interpretable ECG Arrhythmia Classification with SHAP-based Analysis
Aritra Mohajan, Abu Monsur Mohammad Fahim, Ummay Ayman Tushe et al. International Conference on New Media Studies (CONMEDIA), 2025. Cites: paper

Recent approaches of artificial intelligence in intensive care unit: A review
Ujwal A. Havelikar, Aditya Bembde, Deveshri Patil et al. Intelligent Hospital, 2025. Cites: paper

An integrated algorithm for single lead electrocardiogram signal analysis using deep learning with 12-lead data
Muhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka et al. Scientific Reports, 2025. Cites: paper

Artificial Intelligence in Electrocardiography: From Automated Arrhythmia Detection to Predicting Hidden Cardiovascular Disease
Ramy Elantary, Samar Othman. Cureus, 2025. Cites: paper

Efficient ECG Beat Classification Using SMOTE-Enhanced SimCLR Representations and a Lightweight MLP
Berna Gürler Arı. Symmetry, 2025. Cites: paper

A novel multimodal self-supervised framework for ECG arrhythmia classification
Jianqiang Hu, Cheng Li, Jinde Cao et al. Computers in Biology and Medicine, 2025. Cites: paper

Neural Network Learning of Decision-Making Management Algorithms in Non-Invasive Smart Devices for Cardiovascular System Diagnostics
Serhii Holdobin, Valeria Baranova, Vadym Tiutiunyk et al. IEEE KhPI Week on Advanced Technology (KhPIWeek), 2025. Cites: paper

Advanced detection of cardiac arrhythmias using machine learning algorithms on ECG data
Sanjay Pandey, Dharmendra Kumar, Bechoo Lal. Neural Computing and Applications, 2025. Cites: paper

Clinical Heart Disease Detection: A Real-Time SVM Approach with GUI
Abhijit S Shinde, Shamkumar B. Chavan. International Conference for Advancement in Technology (ICONAT), 2025. Cites: paper

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