An Enhanced Adaptive Filtering Method for Suppressing Cardiopulmonary Resuscitation Artifact
Author:
Funder
National Natural Science Foundation of China
General Logistics Department of Chinese PLA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering
Link
http://xplorestaging.ieee.org/ielx7/10/7827205/07466128.pdf?arnumber=7466128
Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a cascade of CNNEDs;Computers in Biology and Medicine;2024-04
2. Deep Learning Strategy for Sliding ECG Analysis during Cardiopulmonary Resuscitation: Influence of the Hands-Off Time on Accuracy;Sensors;2023-05-05
3. Transfer learning based deep network for signal restoration and rhythm analysis during cardiopulmonary resuscitation using only the ECG waveform;Information Sciences;2023-05
4. Real-time amplitude spectrum area estimation during chest compression from the ECG waveform using a 1D convolutional neural network;Frontiers in Physiology;2023-04-20
5. Rhythm Analysis During Cardio-Pulmonary Resuscitation with Convolutional and Recurrent Neural Networks Using ECG and Optional Impedance Input;Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering;2023
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