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Remote atrial fibrillation burden estimation using deep recurrent neural network

机译：远程经常性神经网络远程心房颤动负荷估计

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Armand Chocron; Julien Oster; Shany Biton; Franck Mendel; Meyer Elbaz; Yehoshua Zeevi; Joachim Behar;
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1. Higher burden of supraventricular ectopic complexes early after catheter ablation for atrial fibrillation is associated with increased risk of recurrent atrial fibrillation [J] . Alhede Christina, Johannessen Arne, Dixen Ulrik, Europace: European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology . 2018,第1期

机译：在导管消融的心房颤动后早期较高的髁上异位复合物的负担与复发性心房颤动的风险增加有关
2. Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks [J] . Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford, SIGKDD explorations . 2018,第Udisk期

机译：基于注意力的双向反复性神经网络检测阵发性心房颤动
3. A novel data augmentation method to enhance deep neural networks for detection of atrial fibrillation [J] . Biomedical signal processing and control . 2020,第Feba期

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4. Real-Time Detection of Atrial Fibrillation from Short Time Single Lead ECG Traces Using Recurrent Neural Networks [C] . V.G. Sujadevi, K.P. Soman, R. Vinayakumar International Symposium on Intelligent Systems Technologies and Applications . 2018

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5. Deep Risk: Timely Risk Scoring by a Recurrent Ensemble of Recurrent Neural Networks [D] . Nemchenko, Anton. 2018

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6. A Novel Approach for Predicting Atrial Fibrillation Recurrence After Ablation Using Deep Convolutional Neural Networks by Assessing Left Atrial Curved M-Mode Speckle-Tracking Images [O] . Yi-Ting Hwang, Hui-Ling Lee, Cheng-Hui Lu, 2020

机译：一种新的方法用于通过评估左心房弯曲M模式使用深卷积神经网络在消融中消融心房颤动复发的方法
7. Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke [O] . Sushravya Raghunath, John M. Pfeifer, Alvaro E. Ulloa-Cerna, 2021

机译：深度神经网络可以预测来自12引导ECG的新出现的心房颤动，并有助于识别风险与心房颤动相关的中风的风险

Remote atrial fibrillation burden estimation using deep recurrent neural network

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