Anesthesia Control Based on Intelligent Controllers
Monitoring and controlling the depth of anesthesia in surgery is so important. Compartmental models are well suited for closed-loop control of drug administration. In this paper, we develop a neural network and a fuzzy controller for nonlinear and compartmental system with nonnegative control input. In addition, the controllers guarantee that the physical system states remain in the nonnegative state space. After that, the proposed approaches are used to control the infusion of the anesthetic drug propofol in order to maintain a desired constant level of the depth of anesthesia for noncardiac surgery. In the end, this goal can be reached that intelligent systems are better than classic adaptive controller in adjustment of anesthesia with suitable condition of patient.
Compartmental Model Classic Adaptive Controller Neural Network RBF function Fuzzy system Bispectral Indez Scale and Electroencephalography
N.Eshghi M.Aliyari M.Teshnehlab
Intelligent systems Laboratory Department of Biomedical engineering K.N.Toosi University of Technology Tehran,Iran
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）