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

Towards explainability in artificial intelligence frameworks for heartcare: A comprehensive survey
M. U. Sreeja, Abin Oommen Philip, M. H. Supriya. Journal of King Saud University - Computer and Information Sciences, 2024. Cites: paper

The Role of ECG and Respiration in Predicting Quality of Experience
Sowmya Vijayakumar, Ronan Flynn, Peter Corcoran et al. International Conference on Quality of Multimedia Experience (QoMEX), 2024. Cites: paper

Artificial Intelligence-Based Atrial Fibrillation Recognition Method for Motion Artifact-Contaminated Electrocardiogram Signals Preprocessed by Adaptive Filtering Algorithm
Huanqian Zhang, Hantao Zhao, Zhang Guo. Sensors, 2024. Cites: paper

Heart Disease Prediction Model based on HRV Emotional Features Fusion
Ling Wang, Jiayu Hao, Tie Hua Zhou et al. International Conference on High Performance Compilation, Computing and Communications (HP3C), 2024. Cites: paper

Medical Data Analysis Using AutoML Frameworks
Seunghun Shin, Dong Joon Park, Suhwan Ji et al. Journal of Electrical Engineering and Technology, 2024. Cites: paper

Atrial Fibrillation Classification: A Hybrid Approach Integrating Support Vector Machines and Feature Selection for Reduced Computational Complexity
Vanditha Dsouza, K. V Keerthana, V Francis Densil Raj. International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2024. Cites: paper

Multiscale dilated convolutional neural network for Atrial Fibrillation detection
Lingnan Xia, Sirui He, Y-F Huang et al. PLoS ONE, 2024. Cites: paper

Electrocardiography Classification with Leaky Integrate-and-Fire Neurons in an Artificial Neural Network-Inspired Spiking Neural Network Framework
Amrita Rana, Kyung Ki Kim. Sensors, 2024. Cites: paper

K-B2S+: A one-dimensional CNN model for AF detection with short single-lead ECG waves from wearable devices
Bo Fang, Zhaocheng Yu, Libo Zhang et al. Digital Communications and Networks, 2024. Cites: paper

Atrial Fibrillation Detection using the Stars 2D Convolutional Neural Network
Nikola Petrovski, Marjan Gušev, Andrea Kulakov. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2024. Cites: paper

Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level
Sunil V. Kalmady, Amir Salimi, Weijie Sun et al. npj Digital Medicine, 2024. Cites: paper

SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation
Sergey Skorik, Aram Avetisyan. Ivannikov Memorial Workshop (IVMEM), 2024. Cites: paper

Machine Learning Approaches in Atrial Fibrillation Detection
Deividas Butkus, Jolita Bernatavičienė. Vilnius University Open Series, 2024. Cites: paper

Proceedings of the Conference "Lithuanian MSc Research in Informatics and ICT"
Jolita Bernatavičienė, Gintautas Dzemyda, Olga Kurasova et al. Vilnius University Open Series, 2024. Cites: paper

Classification Method of ECG Signals Based on RANet
Aoxiang Zhang, Xinwu Yang, Tong Li et al. Cardiovascular Engineering and Technology, 2024. Cites: paper

Mitigating Data Variability and Overfitting in Deep Learning Models for Atrial Fibrillation Detection Using Single-Lead ECGs
Khadidja Benchaira, Salim Bitam, Zineb Djihane Agli. International Journal of Computing and Digital Systems, 2024. Cites: paper

Classification of ECG Signals Based on Hilbert-Huang Transform and 1D Convolution Neural Network
Tianyao Tang. Advances in Engineering Technology Research, 2024. Cites: paper

Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet
Jianxin Xie, Stavros Stavrakis, Bing Yao. Frontiers in Physiology, 2024. Cites: paper

Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
Tanvir Islam, Peter Yigitcan Washington. Biosensors, 2024. Cites: paper

AutoNet-Generated Deep Layer-Wise Convex Networks for ECG Classification
Yanting Shen, Lei Lü, Tingting Zhu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. Cites: paper

Training-free Design of Deep Networks as Ensembles of Clinical Experts
Tinghui Wu, Jieke Wu, Zijun Zhang et al. medRxiv, 2024. Cites: paper

Application of Convolutional Neural Network for Decoding of 12-Lead Electrocardiogram from a Frequency-Modulated Audio Stream (Sonified ECG)
Vessela Krasteva, Ivo Tsvetanov Iliev, Serafim Dimitrov Tabakov. Sensors, 2024. Cites: paper

Avoiding Post-Processing With Event-Based Detection in Biomedical Signals
Nick Seeuws, Maarten De Vos, Alexander Bertrand. IEEE Transactions on Biomedical Engineering, 2024. Cites: paper

A Machine Learning Framework for the Classification of ECG Signals
Madhavi Prabhakar Mahajan, Sonali Kadam, Vinaya Kulkarni et al. International Conference on Computing for Sustainable Global Development, 2024. Cites: paper

Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis
Yanrui Jin, Zhiyuan Li, Mengxiao Wang et al. Communications Medicine, 2024. Cites: paper

Assessment of Atrial Fibrillation Identification and Categorization Techniques
Sanjay Kumar Pawar, Alpana Pandey. IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), 2024. Cites: paper

A novel atrial fibrillation automatic detection algorithm based on ensemble learning and multi-feature discrimination
Xiangkui Wan, Yizheng Liu, Xiaoyu Mei et al. Medical & Biological Engineering & Computing, 2024. Cites: paper

Fast and Resource Efficient Atrial Fibrillation Detection Framework for Long Term Health Monitoring Devices
Nabasmita Phukan, M. Sabarimalai Manikandan, Ram Bilas Pachori. IEEE Sensors Letters, 2024. Cites: paper

An atrial fibrillation classification method based on an outlier data filtering strategy and modified residual block of the feature pyramid network
Hongpo Zhang, Hongzhuang Gu, Guanhe Chen et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification
Lei Lü, Tingting Zhu, Antônio H. Ribeiro et al. European Heart Journal - Digital Health, 2024. Cites: paper

Categorization of ECG signals based on the dense recurrent network
Xinwu Yang, Aoxiang Zhang, Congrui Zhao et al. Signal Image and Video Processing, 2024. Cites: paper

An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review
Assunta Di Costanzo, Carmen Spaccarotella, Giovanni Esposito et al. Journal of Clinical Medicine, 2024. Cites: paper

АНАЛІЗ ВАРІАБЕЛЬНОСТІ СЕРЦЕВОГО РИТМУ ЗА ДОПОМОГОЮ ШТУЧНИХ НЕЙРОННИХ МЕРЕЖ
Viktoriia Кrylova, Andrey Ivashko, Oleh Petrenko. Системи управління навігації та зв’язку Збірник наукових праць, 2024. Cites: paper

EMCNet: Ensemble Multiscale Convolutional Neural Network for Single-Lead ECG Classification in Wearable Devices
Junxin Chen, Bo Fang, Haoyue Li et al. IEEE Sensors Journal, 2024. Cites: paper

Light Weight Residual Convolutional Neural Network for Atrial Fibrillation Detection in Single-lead ECG Recordings
Ridha Ouni, Haikel Salem Alhichri, Areej Kharshid. Engineering Journal, 2024. Cites: paper

Atrial Fibrillation Detection from Compressed ECG Measurements for Wireless Body Sensor Network
Yongyong Chen, Junxin Chen, Shuang Sun et al. ACM Transactions on Internet Technology, 2024. Cites: paper

MSCMN : Multi-scale convolutional modulation network for atrial fibrillation detection from a single-lead electrocardiogram
Rongjian Qiu, Jun Lu, Yuxuan Feng et al. Research Square, 2024. Cites: paper

Continual Learning with Deep Neural Networks in Physiological Signal Data: A Survey
Ao Li, Huayu Li, Geng Yuan. Healthcare, 2024. Cites: paper

Directional statistics-inspired end-to-end atrial fibrillation detection model based on ECG rhythm
Chengsi Luo, Kaixuan Zhang, Yeting Hu et al. Expert Systems with Applications, 2024. Cites: paper

A Machine Learning Approach for Atrial Fibrillation Detection in Telemonitored Patients
Pedro L. Barrera, L. G. Vecino Schandy, María Paula Bonomini et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2024. Cites: paper

An Attribute-Decoupled Model for Onset Identification of Atrial Fibrillation in Single-Lead Electrocardiograms
Qian Li, Xingyao Wang, Hongxiang Gao et al. IEEE Transactions on Instrumentation and Measurement, 2024. Cites: paper

An Automated Cardiac Arrhythmia Classification Network for 45 Arrhythmia Classes Using 12-Lead Electrocardiogram
Ho Keun Kim, Myung Hoon Sunwoo. IEEE Access, 2024. Cites: paper

An Intelligent Learning Approach for Improving ECG Signal Classification and Arrhythmia Analysis
Sarah Mohammed Allabun. International Journal of Advanced Computer Science and Applications, 2024. Cites: paper

Application of Meta Learning in Quality Assessment of Wearable Electrocardiogram Recordings
Álvaro Huerta Herráiz, Arturo Martínez‐Rodrigo, Miguel Guimarães et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2024. Cites: paper

Automated identification of atrial fibrillation from a short single-lead electrocardiogram using the heart rate variability characteristics of the cardiac cycle
Bidyut Bikash Borah, Uddipan Hazarika, Pomy Doley et al. AIP conference proceedings, 2024. Cites: paper

Classification Algorithms in Automatic Diagnosis of ECG Arrhythmias: A Review
Haibo Sun, Dan Luo, Xin Niu et al. IEEE Access, 2024. Cites: paper

DeepAF: A Multi-task Deep Learning Model for Arrhythmias Detection at Resource-Constrained Mobile Device
Fotsing Kuetche, Noura Alexendre, Ntsama Eloundou Pascal et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2024. Cites: paper

Denoising and Time-Frequency Features Extraction of ECG Signals Using Iterative Unbiased FIR Algorithm
Carlos Lastre-Domínguez, Jorge Muñoz‐Minjares, Eduardo Pérez‐Campos et al. Lecture notes in electrical engineering, 2024. Cites: paper

Model Compression Techniques for Atrial Fibrillation Detection on Mobile Devices
Deepankar Nankani, Shivam Maurya, Rashmi Dutta Baruah. Lecture notes in computer science, 2024. Cites: paper

Multitask Learning-Based Quality Assessment and Denoising of Electrocardiogram Signals
Meng Chen, Yongjian Li, Liting Zhang et al. IEEE Transactions on Instrumentation and Measurement, 2024. Cites: paper

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