Self-organizing Fuzzy Logic Controller for the Multivariable Anesthesia System

In this paper, a Self-Organizing Fuzzy Logic Controller (SOFLC) has been proposed for estimating the depth of anesthesia. The SOFLC is a fuzzy system in which the inference rules are continuously updated by a self-learning procedure. Common drugs such as Isoflurane and Atracurium that apply in modern surgery have been used for controlling blood pressure and muscle relaxation, respectively. The MIMO system includes four inputs and two outputs that consist of errors and change of errors of drugs for inputs plus electromyogram (EMG) signal and blood pressure have been chosen as outputs. The set points of outputs were set at 0.8 normalized scale for muscle relaxation and 110 mmHg for blood pressure. A new method for reducing the computing time and simplifying calculation has been used. The result of this Simulation study showed that excellent regulation of blood pressure and muscle relaxation around set-point targets can be achieved

کلیدواژه ها:

Self-organizing fuzzy logic controller (SOFLC) ، Anesthesia ، Atracurium ، Isoflurane ، Switching