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

A Novel Recurrent Neural Network Architecture for Classification of Atrial Fibrillation Using Single-lead ECG
Rohan Banerjee, Avik Ghose, Sundeep Khandelwal. European Signal Processing Conference (EUSIPCO), 2019. Cites: paper

Atrial Fibrillation Detection using Different Duration ECG Signals with SE-ResNet
Jinjing Zhu, Yue Zhang, Qingqing Zhao. IEEE International Workshop on Multimedia Signal Processing (MMSP), 2019. Cites: paper

Factors Influencing Automated Limited Lead Detection of Atrial Fibrillation
Peter W. Macfarlane, Shahid Latif, Brian Devine. Computing in cardiology, 2019. Cites: paper

Sonification – an Alternative Presentation of the Electrocardiogram: A Systematic Literature Review
Ivan Krasimirov Kanev, Ivo Tsvetanov Iliev, Vessela Krasteva. International Scientific Conference Electronics (ET), 2019. Cites: paper

Vector of Diagnostic Features in the Form of Decomposition Coefficients of Statistical Estimates Using a Cyclic Random Process Model of Cardiosignal
Vasyl Martsenyuk, А. С. Сверстюк, Aleksandra Kłos-Witkowska et al. IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019. Cites: paper

Artefact detection and quality assessment of ambulatory ECG signals
Jonathan Moeyersons, Elena Smets, John Morales et al. Computer Methods and Programs in Biomedicine, 2019. Cites: paper

Cardiac arrhythmia detection using deep learning: A review
Saman Parvaneh, Jonathan Rubin, Saeed Babaeizadeh et al. Journal of Electrocardiology, 2019. Cites: paper

Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram
Petr Nejedlý, Václav Křemen, Vladimir Sladky et al. Scientific Reports, 2019. Cites: paper

K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
Yuxi Zhou, Shenda Hong, Junyuan Shang et al. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
Shenda Hong, Cao Xiao, Tengfei Ma et al. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

Learning representations of multivariate time series with missing data
Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen et al. Pattern Recognition, 2019. Cites: paper

Atrial Fibrillation Detection From Face Videos by Fusing Subtle Variations
Jingang Shi, Iman Alikhani, Xiaobai Li et al. IEEE Transactions on Circuits and Systems for Video Technology, 2019. Cites: paper

Robust Beat-to-Beat Interval from Wearable PPG using RLS and SSA
Tanuka Bhattacharjee, Anirban Dutta Choudhury, Arpan Pal. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

A cascaded classifier for multi-lead ECG based on feature fusion
Genlang Chen, Zhiqing Hong, Yongjuan Guo et al. Computer Methods and Programs in Biomedicine, 2019. Cites: paper

ECG Classification Using Artificial Neural Networks
F A Rivera Sánchez, J A González Cervera. Journal of Physics Conference Series, 2019. Cites: paper

Ultra-thin Skin Electronics for High Quality and Continuous Skin-Sensor-Silicon Interfacing
Leilai Shao, Sicheng Li, Ting Lei et al. ACM/IEEE Design Automation Conference (DAC), 2019. Cites: paper

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper

Adversarial Examples for Electrocardiograms
Xintian Han, Yuxuan Hu, Luca Foschini et al. arXiv (Cornell University), 2019. Cites: paper

Atrial Fibrillation Detection Based on EEMD and XGBoost
Yue Zhang, Zhu Jinjing. Journal of Physics Conference Series, 2019. Cites: paper

An Attention-Based CNN for ECG Classification
Kuvaev Alexander, Roman Khudorozhkov. Advances in intelligent systems and computing, 2019. Cites: paper

Ventricular ectopic beat detection using a wavelet transform and a convolutional neural network
Qichen Li, Chengyu Liu, Qiao Li et al. Physiological Measurement, 2019. Cites: paper

Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings
Shenda Hong, Yuxi Zhou, Meng Wu et al. Physiological Measurement, 2019. Cites: paper

Atrial fibrillation identification based on a deep transfer learning approach
Ali Ghaffari, nasimalsadat madani. Biomedical Physics & Engineering Express, 2019. Cites: paper

Embedded Solution for Atrial Fibrillation Detection Using Smart Wireless Body Sensors
Manan AlMusallam, Adel Soudani. IEEE Sensors Journal, 2019. Cites: paper

The application of Lempel-Ziv and Titchener complexity analysis for equine telemetric electrocardiographic recordings
Vadim Alexeenko, James A. Fraser, Alexey Dolgoborodov et al. Scientific Reports, 2019. Cites: paper

A Novel Wearable Device for Continuous Ambulatory ECG Recording: Proof of Concept and Assessment of Signal Quality
Christian Steinberg, François Philippon, Marina Sánchez et al. Biosensors, 2019. Cites: paper

Detection of atrial fibrillation and other abnormal rhythms from ECG using a multi-layer classifier architecture
Ayan Mukherjee, Anirban Dutta Choudhury, Shreyasi Datta et al. Physiological Measurement, 2019. Cites: paper

Atrial Fibrillation Detection Using an Improved Multi-Scale Decomposition Enhanced Residual Convolutional Neural Network
Xincheng Cao, Bin Yao, Binqiang Chen. IEEE Access, 2019. Cites: paper

Classification of Cardiac Arrhythmias from Single Lead ECG with a Convolutional Recurrent Neural Network
Jérôme Van Zaen, Olivier Chételat, Mathieu Lemay et al. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2019. Cites: paper

Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model
Tsai‐Min Chen, Chih-Han Huang, Edward S.C. Shih et al. iScience, 2019. Cites: paper

High Precision Digitization of Paper-Based ECG Records: A Step Toward Machine Learning
Mohammed Baydoun, Lise Safatly, Ossama K. Abou Hassan et al. IEEE Journal of Translational Engineering in Health and Medicine, 2019. Cites: paper

Transfer Learning for Electrocardiogram Classification Under Small Dataset
Longting Chen, Guanghua Xu, Sicong Zhang et al. Lecture notes in computer science, 2019. Cites: paper

การประยกตใชการเรยนรเชงลกเพอเพมความจำเพาะในการตรวจคดกรองภาวะหวใจหองบนสนพลวจากสญญาณคลนไฟฟาหวใจ
จันทัปปภา จันทร์ครบ. 2019. Cites: paper

Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease: data from a single tertiary centre including 10 019 patients
Gerhard‐Paul Diller, Aleksander Kempny, Sonya V. Babu‐Narayan et al. European Heart Journal, 2018. Cites: paper

A Robust Detection Method of Atrial Fibrillation
Jing Fang Hu, Wei Zhao, Yanwu Xu et al. Computing in cardiology, 2018. Cites: paper

Detection of Atrial Fibrillation From Short ECGs: Minimalistic Complexity Analysis for Feature-Based Classifiers
Anara Abdukalikova, Denis V. Kleyko, Evgeny Osipov et al. Computing in cardiology, 2018. Cites: paper

Electrocardiogram Monitoring and Interpretation: From Traditional Machine Learning to Deep Learning, and Their Combination
Saman Parvaneh, Jonathan Rubin. Computing in cardiology, 2018. Cites: paper

P-Wave Analysis for Atrial Fibrillation Detection Using a Neural Network Clustering Algorithm
Reza Firoozabadi, Richard E. Gregg, Saeed Babaeizadeh. Computing in cardiology, 2018. Cites: paper

Shape Analysis of Consecutive Beats May Help in the Automated Detection of Atrial Fibrillation
Filip Plešinger, Petr Andrla, Ivo Viščor et al. Computing in cardiology, 2018. Cites: paper

Atrial Fibrillation Detection with Convolutional Neural Network
Jingting Luo, Canmiao Fu, Mengjie Bai et al. 2018. Cites: paper

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi et al. Nature Medicine, 2018. Cites: paper

Classification of Atrial Fibrillation with Pre-Trained Convolutional Neural Network Models
Abdul Qayyum, Fabrice Mériaudeau, Genevieve C. Y. Chan. IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2018. Cites: paper

EdgeCNN: A Hybrid Architecture for Agile Learning of Healthcare Data from IoT Devices
Jian Feng Yu, Bin Fu, Ao Cao et al. IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2018. Cites: paper

AF detection from ECG recordings using feature selection, sparse coding, and ensemble learning
Muhammed Rizwan, Bradley M. Whitaker, David V. Anderson. Physiological Measurement, 2018. Cites: paper

Classification of 12-Lead ECG Signals with Bi-directional LSTM Network
Ahmed Mostayed, Junye Luo, Xingliang Shu et al. arXiv (Cornell University), 2018. Cites: paper

Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
Chris D. Cantwell, Yumnah Mohamied, Konstantinos N. Tzortzis et al. Computers in Biology and Medicine, 2018. Cites: paper

A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation
Manuel García, M. Serra Martínez, Juan Ródenas et al. Physiological Measurement, 2018. Cites: paper

Tensor-based ECG Signal Processing Applied to Atrial Fibrillation Detection
Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy et al. Asilomar Conference on Signals, Systems and Computers (ACSSC), 2018. Cites: paper

Benchmarks of ResNet Architecture for Atrial Fibrillation Classification
Roman Khudorozhkov, Podvyaznikov Dmitry. arXiv (Cornell University), 2018. Cites: paper

A Fourier-Bessel Expansion-Based Method for Automated Detection of Atrial Fibrillation From Electrocardiogram Signals
Ashish Sharma, Shivnarayan Patidar. Advances in medical diagnosis, treatment, and care (AMDTC) book series, 2018. Cites: paper

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