Parameter Identification of Respiratory Mechanics Based on Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Parameter Identification of Respiratory Mechanics Based on Convolutional Neural Networks

Published:2023-12-14 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 2nd International Conference on Automation, Robotics and Computer Engineering (ICARCE)
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Author:

Guo Jiangzhen¹,Feng Siru¹,Gao Guifeng²,Wang Ruiqiang²,Wang Meng³,Tao Chunjing¹

Affiliation:

1. School of Engineering Medicine, Beihang University,Advanced Innovation Center for Biomedical Engineering,Beijing,China

2. Ambulanc (Shenzhen) Tech. Co.,Shenzhen,Guangdong,China

3. Peking University Third Hospital,Department of Respiratory and Critical Care Medicine,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10492487/10492472/10492482.pdf?arnumber=10492482

Reference18 articles.

1. The Number of Alveoli in the Human Lung

2. Mucins, Mucus, and Sputum

3. The Effects of Endotracheal Suctioning in the Pediatric Population

4. Nonlinear model for mechanical ventilation of human lungs

5. Mathematical Modeling of Pulmonary Airway Dynamics

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