Title :
Research on Intelligent Control of the New Synchronous Transformative Pressure Ventilation Bed
Author :
Junjie, Su ; Qiuhai, Zhong
Author_Institution :
Sch. of Autom. Control, Beijing Inst. of Technol., Beijing, China
Abstract :
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.
Keywords :
C++ language; biomedical equipment; fuzzy control; genetic algorithms; intelligent control; mathematics computing; medical control systems; medical signal processing; patient care; pneumodynamics; pressure sensors; radial basis function networks; signal denoising; three-term control; ventilation; wavelet transforms; Matlab; Visual C++; breath periods; flux sensor; fuzzy autotuning PID controller; human body tidal volume; intelligent control; position mechanical ventilation; predicted by RBF network; respiration; self adaptive genetic algorithm; signal acquisition clip; signal denoising; synchronous transformative pressure ventilation bed; wavelet analysis; Genetic algorithms; Intelligent control; Radial basis function networks; Simulation; Synchronization; Ventilation; Wavelet analysis; bbreath period signal; intelligent control; system simulation; ventilation bed;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.24