DocumentCode
3697639
Title
An intelligent secretion clearance system based on pneumatics
Author
Yan Shi;Shuai Ren;Jinglong Niu;Maolin Cai;Weiqing Xu
Author_Institution
School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
fYear
2015
Firstpage
355
Lastpage
359
Abstract
As one of the most important nursing interventions of ventilated patients´ respiratory tract, secretion clearance is usually used to keep the respiratory tract clear, improve alveolar ventilation and patients´ breathing function. However, the existing secretion clearance technologies have serious defects in efficiency, safety and automation. Considering these disadvantages above, this paper proposes an intelligent secretion system, which combines doctors´ theoretical knowledge, clinical experience and engineering technology. In this system, three key technologies will be broken through to form a set of simple, safe, efficient and automatic secretion clearance technology, which are 1. On-line identification technology of the time when to clear secretion; 2.1ntelligent control technology of the secretion clearance system based on simulation of the human natural cough; 3. Breathing simulation technology with self-learning function. This system will provide an intelligent method to keep patients´ respiratory tract clear, prevent respiratory system infection, avoid the damage to respiratory tracts and ensure mechanical ventilation treatment goals. The technology proposed in this paper is poised to replace catheter suction technology as the most common secretion clearance technology in clinic. Ultimately, this technology will improve the secretion clearance technology level of China, save lives of ventilated patients´, reduce patients´ pain and the work intensity of medical staffs.
Keywords
"Lungs","Ventilation","Electron tubes","Artificial intelligence","Mathematical model","Pain","Process control"
Publisher
ieee
Conference_Titel
Fluid Power and Mechatronics (FPM), 2015 International Conference on
Type
conf
DOI
10.1109/FPM.2015.7337139
Filename
7337139
Link To Document