Feedback control approach in controlled sedation for intensive care unit

摘要

In hospitals any major surgeries requires the patient to be in anesthetize condition. The procedure may last for a longer period and the patient should be in anesthetize condition during the whole operation. A complete dosage of anesthesia cannot be given at a single stroke. This may lead to severity in patients. The objective is to maintain the hypnosis level of the patient in a proper and safe value. The traditional BIS method does not provide accurate results and the control was less than optimal. A more efficient estimate of the anesthetic level can be made if the measurements of heart rate, blood oxygen saturation, blood pressure and body temperatures are available. To provide accurate predictions, an adaptive model based on fuzzy logic and genetic algorithms is included. Thus, the infusion of the drug is adapted to the real needs of the patient and, consequently, the performance is improved compared to other approaches. The evaluation of controller was done in simulation. The proposed model predictive controller based on an adaptive fuzzy model makes accurate controlling of the level of anesthesia in patients with dynamics inherent of the anesthetic process. The interpatient variability and intrapatient variability are also handled effectively. In proteus microcontroller simulation works by applying either a hex file or a debug file to the microcontroller part on the schematic. It is then co-simulated along with any analog and digital electronics connected to it. This enables it is broad spectrum in the areas such as motor control, temperature control and user interface design.