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

ECG-based transfer learning for cardiovascular disease: A scoping review
Sharifah Noor Masidayu Sayed Ismail, Abdul Razak, Nor Azlina Ab. Aziz. International Journal of Cognitive Computing in Engineering, 2025. Cites: paper

Enhanced detection of atrial fibrillation in single-lead electrocardiograms using a Cloud-based artificial intelligence platform
François De Guio, Michiel Rienstra, José María Lillo-Castellano et al. Heart Rhythm, 2025. Cites: paper

Advanced ECG Monitoring with IoT: A CNN Approach for Detecting Atrial Fibrillation
sevil khojasteh, Mohammad Bagher Menhaj, Mohammad A. Khosravi et al. SSRN Electronic Journal, 2025. Cites: paper

A Multi-Scale Deep Learning Framework Combining MobileViT-ECA and LSTM for Accurate ECG Analysis
Abduljabbar S. Ba Mahel, Mehdhar S. A. M. Al-Gaashani, Reem Ibrahim Alkanhel et al. IEEE Access, 2025. Cites: paper

A Review of Deep Learning for Biomedical Signals: Current Applications, Advancements, Future Prospects, Interpretation, and Challenges
Ali Mohammad Alqudah, Zahra Moussavi. Computers, materials & continua/Computers, materials & continua (Print), 2025. Cites: paper

Ensemble Learning for Classification of Arrhythmias Using Heart Rate Signals from Smartwatches
Sakorn Mekruksavanich, Anuchit Jitpattanakul. Lecture notes in networks and systems, 2025. Cites: paper

Human-Centered Explainable Psychiatric Disorder Diagnosis System Using Wearable ECG Monitors
Truong Thanh Hung Nguyen, Alireza Rahimi, Veronica Whitford et al. Lecture notes in computer science, 2025. Cites: paper

PRA-Net: Polymorphic Representation-Aware Network for Accurate Cardiac Arrhythmia Detection From Electrocardiogram Signals
Xu Wang, Zhaoshui He, Zhijie Lin et al. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

A Novel Approach for the Detection of Cardiovascular Abnormalities from Electrocardiogram and Phonocardiogram Signals Using Combined CNN-LSTM Techniques
Suganthi Brindha Gnanapirakasam, J. Manjula. Traitement du signal, 2024. Cites: paper

Combination Hand-Crafted Features and Semi-Supervised Features Selection From Deep Features for Atrial Fibrillation Detection
Sara Mihandoost. IEEE Access, 2024. Cites: paper

Advanced Deep Neural Network with Unified Feature-Aware and Label Embedding for Multi-Label Arrhythmias Classification
Pan Xia, Zhongrui Bai, Yicheng Yao et al. Tsinghua Science & Technology, 2024. Cites: paper

Detection of Atrial Fibrillation with Custom Designed Wavelet-based Convolutional Autoencoder
Öykü Eravcı, Nalan Özkurt, Özlem Memiş et al. Celal Bayar Üniversitesi Fen Bilimleri Dergisi, 2024. Cites: paper

Derin Öğrenme ve Chroma Spektrogramlarına Dayalı EKG Sinyallerinin Sınıflandırılması
Songül Akdağ, Mehmet Bilal Er. Harran Üniversitesi Mühendislik Dergisi, 2024. Cites: paper

LTH-Aided NAS: An Approach to Generate Ultra-Small Optimized Models for Tiny Devices
Syed Mujibul Islam, Abhishek RoyChoudhury, Shalini Mukhopadhyay et al. IEEE India Conference, 2024. Cites: paper

Artificial intelligence on biomedical signals: technologies, applications, and future directions
Yoon Jae Lee, Cheoljeong Park, Hodam Kim et al. Med-X, 2024. Cites: paper

Deploying Deep Learning Models For the Classification of Arrhythmias
Adwaitha Thatipally, Manikanta Bachu, Turupu Varshith Reddy et al. International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR), 2024. Cites: paper

Multireassignment Method Based on S-Transform for Time-Frequency Analysis of Nonstationary Signal
Meina Wei, Zan Mo. IEEE Sensors Journal, 2024. Cites: paper

CTRhythm: Accurate Atrial Fibrillation Detection from Single-Lead ECG by Convolutional Neural Network and Transformer Integration
Zhanyu Liang, Chen Yang, Zhengyang Yu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

On the Impact of Transfer Learning for Multimodal Heart Sound and Electrocardiogram Classification
Hélder Vieira, Ana Oliveira, André Lobo et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

An AIoT Enabled Multi-Level Decision Support System for Remote Arrhythmia Analysis Using Efficient Wavelet Transform
Ritu Singh, Navin Rajpal, Pramod Kumar Soni et al. SN Computer Science, 2024. Cites: paper

ECG-DPM: Electrocardiogram Generation via a Spectrogram-based Diffusion Probabilistic Model
Leya Li, Tong Xia, Haojie Zhang et al. IEEE Smart World Congress (SWC), 2024. Cites: paper

Decorrelative network architecture for robust electrocardiogram classification
Christopher Wiedeman, Ge Wang. Patterns, 2024. Cites: paper

Kolmogorov-Arnold-Based Network With Lightweight Feature Fusion Schema for Single-Lead Electrocardiogram Atrial Fibrillation Detection
Zijian Zhao, Likun Sui, Yang Song et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2024. Cites: paper

Generation of Atrial Fibrillation Electrocardiogram and Atrial Fibrillation Classification Based on BiLSTM-CNN Generative Adversarial Network
Zhihong Chen, Yonghong Xu, Yong Zhao. International Conference on Computer, Vision and Intelligent Technology (ICCVIT), 2024. Cites: paper

A deep neural network model with spectral correlation function for electrocardiogram classification and diagnosis of atrial fibrillation
Sara Mihandoost. Healthcare Analytics, 2024. Cites: paper

Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning
Zheng-Kai Xue, Shijia Geng, Shaohua Guo et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation
Diogo Reis Santos, Andrea Protani, Lorenzo Giusti et al. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024. Cites: paper

Applying a Task-Based Approach to Distributed Machine Learning Workflows
Fernando Vázquez-Novoa, Daniele Lezzi, Francesc Lordan et al. International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2024. Cites: paper

mRMEBP: a unified framework for online detection of atrial fibrillation utilizing deep learning
Xiaolin Zhou, Jinyong Zhang, Hui Li et al. npj Biomedical Innovations., 2024. Cites: paper

A Survey of Few-Shot Learning for Biomedical Time Series
Chenqi Li, Timothy Denison, Tingting Zhu. IEEE Reviews in Biomedical Engineering, 2024. Cites: paper

Blockchain-Enabled HeartCare Framework for Cardiovascular Disease Diagnosis in Devices With Constrained Resources
Bidyut Bikash Borah, Khushboo Das, Geetartha Sarma et al. IEEE Transactions on Services Computing, 2024. Cites: paper

Comparison of Electrocardiogram between Dilated Cardiomyopathy and Ischemic Cardiomyopathy Based on Empirical Mode Decomposition and Variational Mode Decomposition
Yuduan Han, Chonglong Ding, Shuo Yang et al. Bioengineering, 2024. Cites: paper

A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms
Ahmadreza Argha, Hamid Alinejad‐Rokny, Martin Baumgartner et al. IEEE Transactions on Biomedical Engineering, 2024. Cites: paper

Evaluation of the performance of a machine learning based atrial fibrillation screening algorithm using an oscillometric blood pressure monitor
Yuji Asada, Yuta Kudo, Tatsunori Ito et al. Scientific Reports, 2024. Cites: paper

Sparse learned kernels for interpretable and efficient medical time series processing
Sully F. Chen, Zhicheng Guo, Cheng Ding et al. Nature Machine Intelligence, 2024. Cites: paper

Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle et al. Information Fusion, 2024. Cites: paper

A Human-in-the-Loop Method for Annotation of Events in Biomedical Signals
Nick Seeuws, Maarten De Vos, Alexander Bertrand. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

A Systematic Review on the Use of Consumer-Based ECG Wearables on Cardiac Health Monitoring
Ruijing Wang, Sagar Chakravarthy Mathada Veera, Onur Asan et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs
Ali Bahrami Rad, Miguel Kirsch, Qiao Li et al. Sensors, 2024. Cites: paper

Brant-X: A Unified Physiological Signal Alignment Framework
Daoze Zhang, Zhizhang Yuan, Junru Chen et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. Cites: paper

Evaluating the impacts of digital ECG denoising on the interpretive capabilities of healthcare professionals
Stacey McKenna, Naomi McCord, Jordan Diven et al. European Heart Journal - Digital Health, 2024. Cites: paper

Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention
Marko Mäkynen, G. André Ng, Xin Li et al. Sensors, 2024. Cites: paper

From sleep patterns to heart rhythm: Predicting atrial fibrillation from overnight polysomnograms
Zuzana Koscova, Ali Bahrami Rad, Samaneh Nasiri et al. Journal of Electrocardiology, 2024. Cites: paper

Spiking neural networks for biomedical signal analysis
Sang Ho Choi. Biomedical Engineering Letters, 2024. Cites: paper

Transferring Knowledge from 12-Lead to 1-Lead ECGs via Contrastive Learning
Sergey Skorik, Aram Avetisyan, Ekaterina Diatlinko et al. IEEE Annual International Computer Software and Applications Conference (COMPSAC), 2024. Cites: paper

ECG signal fusion reconstruction via hash autoencoder and margin semantic reinforcement
Yixian Fang, Canwei Wang, Yuwei Ren et al. Journal of King Saud University - Computer and Information Sciences, 2024. Cites: paper

A Custom-designed Atrial Fibrillation Detection Hardware on a Flexible Substrate
Emre Özer, Jedrzej Kufel, E. Punskaya et al. IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS), 2024. Cites: paper

Atrial Fibrillation Detector from ECG on Wearable Edge Devices using Spiking Neural Networks
Dighanchal Banerjee, Sounak Dey, Arpan Pal. International Joint Conference on Neural Networks (IJCNN), 2024. Cites: paper

A Vehicle Passive Entry Passive Start System with the Intelligent Internet of Things
Ray-I Chang, Tzu‐Chieh Lin, Jeng-Wei Lin. Electronics, 2024. Cites: paper

Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Johnson Loh, Lyubov Dudchenko, Justus Viga et al. IEEE Transactions on Biomedical Circuits and Systems, 2024. Cites: paper

Cited by