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

TransMixer-AF: Advanced Real-Time Detection of Atrial Fibrillation Utilizing Single-Lead Electrocardiogram Signals
S M Mahim, Md Emamul Hossen, Shakib Al Hasan et al. IEEE Access, 2024. Cites: paper

An improved Bi-LSTM method based on heterogeneous features fusion and attention mechanism for ECG recognition
Chaoyang Song, Zilong Zhou, Yue Yu et al. Computers in Biology and Medicine, 2023. Cites: paper

Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review
Muhammad Farhan Safdar, Robert Marek Nowak, Piotr Pałka. Computers in Biology and Medicine, 2023. Cites: paper

Hidden Markov Models for early detection of cardiovascular diseases
Universidad Distrital Francisco José de Caldas, Sebastián Núñez Mejía. Ingenieria Solidaria, 2023. Cites: paper

Multi-lead atrial fibrillation classification method using ConvNeXt and BiLSTM
Qi Luo, Feiyan Zhou, Feng Yu. Artificial Intelligence and Cloud Computing Conference (AICCC), 2023. Cites: paper

Empowering AI-Diagnosis: Deep Learning Abilities for Accurate Atrial Fibrillation Classification
Bambang Tutuko, Annisa Darmawahyuni, Siti Nurmaini et al. International Journal of Online and Biomedical Engineering (iJOE), 2023. Cites: paper

Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM
Ahmad Ayad, Mahdi Barhoush, Benedikt Völker et al. International Conference on Machine Learning and Applications, 2023. Cites: paper

Exploring Cryptocurrency Adoption: A Study of Intention among Lebanese Users
Raghid El Ali, Soumaya Kaakour. Advances in Social Science and Culture, 2023. Cites: paper

Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction: A Multi-Dataset Study
Rushuang Zhou, Lei Lü, Zijun Liu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. Cites: paper

Cardiac arrhythmia classification with rejection of ECG recordings based on uncertainty estimation from deep neural networks
Wenrui Zhang, Xinxin Di, Guodong Wei et al. Neural Computing and Applications, 2023. Cites: paper

Classification of Abnormal Cardiac Rhythm from Brief Single-Lead ECG Recordings using Embeddings from Transformer Encoder Models
B.S. Utkars Jain, Prahlad G. Menon. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

An Atrial Fibrillation Detection Strategy in Dynamic ECGs With Significant Individual Differences
Caiyun Ma, Xi Long, Weijie Sheng et al. IEEE Transactions on Instrumentation and Measurement, 2023. Cites: paper

Diagnostic Accuracy of Single-Lead Electrocardiograms Using the Kardia Mobile App and the Apple Watch 4: Validation Study
Kristina Klier, Lucas Koch, Lisa Graf et al. JMIR Cardio, 2023. Cites: paper

1D Convolutional Neural Network for Atrial Fibrillation Detection
Nikola Petrovski, Marjan Gušev, Stojancho Tudjarski. Telecommunications Forum (TELFOR), 2023. Cites: paper

PEACE: Private and Energy-Efficient Algorithm for Cardiac Evaluation on the EDGE using Modified Split Learning and Model Quantization
Ahmad Ayad, Mahdi Barhoush, Johnson Loh et al. International Conference on Information and Communication Systems (ICICS), 2023. Cites: paper

An Open-Source Graphical User Interface-Embedded Automated Electrocardiogram Quality Assessment: A Balanced Class Representation Approach
Mohamed Elgendi, Kirina van der Bijl, Carlo Menon. Diagnostics, 2023. Cites: paper

Automatic Detection of Irregular Contraction and Relaxation of Cardiac Muscle using Alexnet
G. Vallathan, M Sowjanya, M Laxmi et al. International Conference on System, Computation, Automation and Networking (ICSCAN), 2023. Cites: paper

In-Distribution and Out-of-Distribution Self-Supervised ECG Representation Learning for Arrhythmia Detection
Sahar Soltanieh, Javad Hashemi, Ali Etemad. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Training-free neural architecture search: A review
Mengting Wu, Chun‐Wei Tsai. ICT Express, 2023. Cites: paper

Stream Processing Architectures for Continuous ECG Monitoring Using Subsampling- Based Classifiers
Johnson Loh, Tobias Gemmeke. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023. Cites: paper

РОЗРОБКА ТА ОЦІНКА МОДЕЛЕЙ МАШИННОГО НАВЧАННЯ ДЛЯ ПРОГНОЗУВАННЯ ФІБРИЛЯЦІЇ ПЕРЕДСЕРДЬ НА ОСНОВІ ДАНИХ ЕЛЕКТРОКАРДІОГРАМИ
Illia V. Fedorin, Владислав Синчук. Наука і техніка сьогодні, 2023. Cites: paper

Deep Generative Models: The winning key for large and easily accessible ECG datasets?
Giuliana Monachino, Beatrice Zanchi, Luigi Fiorillo et al. Computers in Biology and Medicine, 2023. Cites: paper

Enhanced Atrial Fibrillation (AF) Detection via Data Augmentation with Diffusion Model
Arash Vashagh, Amirhossein Akhoondkazemi, Sayed Jalal Zahabi et al. International Conference on Computer and Knowledge Engineering, 2023. Cites: paper

Enhancing Electrocardiogram (ECG) Analysis of Implantable Cardiac Monitor Data: An Efficient Pipeline for Multi-Label Classification
Amnon Bleich, Antje Linnemann, Benjamin Jaidi et al. Machine Learning and Knowledge Extraction, 2023. Cites: paper

IRIDIA-AF, a large paroxysmal atrial fibrillation long-term electrocardiogram monitoring database
Cédric Gilon, Jean-Marie Grégoire, Marianne Mathieu et al. Scientific Data, 2023. Cites: paper

Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to 18 Years Old
Ghasem Hajianfar, Mohammadrafie Khorgami, Yousef Rezaei et al. Cardiovascular Engineering and Technology, 2023. Cites: paper

A Review on Atrial Fibrillation Detection From Ambulatory ECG
Caiyun Ma, Zhijun Xiao, Lina Zhao et al. IEEE Transactions on Biomedical Engineering, 2023. Cites: paper

A lightweight U-Net model for denoising and noise localization of ECG signals
Lei Hu, Wenjie Cai, Ziyang Chen et al. Biomedical Signal Processing and Control, 2023. Cites: paper

Enhanced Classification of Heartbeat Electrocardiogram Signals Using a Long Short-Term Memory–Convolutional Neural Network Ensemble: Paving the Way for Preventive Healthcare
Njud Saleh Alharbi, Hadi Jahanshahi, Qijia Yao et al. Mathematics, 2023. Cites: paper

Atrial fibrillation detection with signal decomposition and dilated residual neural network
Yicheng Li, Yong Xia. Physiological Measurement, 2023. Cites: paper

Evaluation of Atrial Fibrillation Detection in Short-Term Photoplethysmography (PPG) Signals Using Artificial Intelligence
Debjyoti Talukdar, Luis Felipe de Deus, Nikhil Sehgal. Cureus, 2023. Cites: paper

Challenges of Accurate and Efficient AutoML
S. Dey, Avik Ghose, Soumik Das. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023. Cites: paper

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
Matthew A. Reyna, Yashar Kiarashi, Andoni Elola et al. PLOS Digital Health, 2023. Cites: paper

FL-LoRaMAC: A Novel Framework for Enabling On-Device Learning for LoRa-Based IoT Applications
Shobhit Aggarwal, Asis Nasipuri. Future Internet, 2023. Cites: paper

Few-shot transfer learning for personalized atrial fibrillation detection using patient-based siamese network with single-lead ECG records
Yiuwai Ng, Min‐Tsun Liao, Ting‐Li Chen et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home
Junxin Chen, Wei William Wang, Bo Fang et al. IEEE Journal on Selected Areas in Communications, 2023. Cites: paper

AFibri-Net: A Lightweight Convolution Neural Network Based Atrial Fibrillation Detector
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori. IEEE Transactions on Circuits and Systems I Regular Papers, 2023. Cites: paper

Robust electrocardiogram delineation model for automatic morphological abnormality interpretation
Siti Nurmaini, Annisa Darmawahyuni, Muhammad Naufal Rachmatullah et al. Scientific Reports, 2023. Cites: paper

A Two-Stage Differential Privacy Scheme for Federated Learning Based on Edge Intelligence
Li Zhang, Jianbo Xu, Audithan Sivaraman et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Level Accuracy of Automatic and Real Time Detection of Atrial Fibrillation with A New Wireless ECG Recorder (The SmartCardia)
2023. Cites: paper

ECG Signal Classification using Long Short-Term Memory (LSTM) Networks
Haryati Akmal Binti Borhan, Idris Abd. Latif. International Conference on Engineering Technology and Technopreneurship (ICE2T), 2023. Cites: paper

Generative adversarial networks in electrocardiogram synthesis: Recent developments and challenges
Laurenz Berger, Max Haberbusch, Francesco Moscato. Artificial Intelligence in Medicine, 2023. Cites: paper

Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Huy Pham, Konstantin Egorov, Alexey Kazakov et al. Frontiers in Cardiovascular Medicine, 2023. Cites: paper

AFE-GAN: Synthesizing Electrocardiograms with Atrial Fibrillation Characteristics Using Generative Adversarial Networks *
Xianglong Wang, Berkman Sahiner, Christopher G. Scully et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm
Ahmadreza Argha, Joan Li, J. Magdy et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Beatwise ECG Classification for the Detection of Atrial Fibrillation with Deep Learning
Jiaxuan Yang, Bruce H. Smaill, Patrick A. Gladding et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Signal quality indices evaluation for robust ECG signal quality assessment systems
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Biomedical Physics & Engineering Express, 2023. Cites: paper

Beyond Supervised Learning for Pervasive Healthcare
Xiao Gu, Fani Deligianni, Jinpei Han et al. IEEE Reviews in Biomedical Engineering, 2023. Cites: paper

A framework for comparative study of databases and computational methods for arrhythmia detection from single-lead ECG
Elena Merdjanovska, Aleksandra Rashkovska. Scientific Reports, 2023. Cites: paper

Accurate detection of paroxysmal atrial fibrillation with certified-GAN and neural architecture search
Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni et al. Scientific Reports, 2023. Cites: paper

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