Cart (Loading....) | Create Account
Close category search window
 

Research on Intelligent Control of the New Synchronous Transformative Pressure Ventilation Bed

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Su Junjie ; Sch. of Autom. Control, Beijing Inst. of Technol., Beijing, China ; Zhong Qiuhai

Synchronous transformative pressure, position mechanical ventilation are new ventilation techniques that can evidently increase human body's tidal volume. In this paper, a synchronous transformative pressure ventilation bed, based on a novel ventilation method, is designed for the first time. In section 2, some basic ventilation principles and physical structure of the ventilation bed is introduced. In section 3, an intelligent control system for this ventilation bed is discussed with details. For realizing the control function synchronized with breath, breath periods signal out of respiration veil, flux sensor and signal acquisition clip is acquired. And the signal abstained from the above-mentioned procedure is denoised by wavelet analysis and predicted by RBF network, and self adaptive genetic algorithm (GA). At the same time, the fuzzy auto-tuning PID controller is designed. In section 4, a simulation system for this ventilation bed is implemented using Matlab and Visual C++. Simulation results show that the breath bed can run steadily, and can realize the control function synchronized with breath. Finally the conclusions are given.

Published in:

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Date of Conference:

8-9 Oct. 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.