Fuzzy Control for Regulating Level of Pressure Support Ventilation
This paper proposes a fuzzy control for regulating level of pressure support ventilation (PSV). The control uses the expert knowledge of the quafitative relationship of the physiological parameters and the patients state. The physiological parameters include heart rate (HR), tidal volume (VT), respiratory rate (RR), arterial partial pressure of carbon dioxide (PaCO2) and arterial oxygen saturation (SaO2). A physical state controller, a tendency controller and a decision controller are designed to regulate the pressure support (PS) level on-line according to changing the adjustment experience of clinicians for the parameters of the ventilator into expert knowledge database by using fuzzy sets, and expressing physiological parameter values by using membership functions. Comparative results of the simulation and clinical cure show that the on-line regulation reduces the doctors work and ensures that the PS level adapts to patients physiological requirement accurately and fast, so as to make the process of weaning from ventilator smooth and comfortable.
fuzzy control pressure support level ezpert knowledge physiological parameters
Weiwei Yi Qi Zhang Yueke Wang Jiulong Xiong Haiyan Qin
Mechatronic and Automation School National University of Defense Technology Changsha,China
国际会议
长沙
英文
1506-1509
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）