학술논문

Controlling the hypnotic drug (propofol) to maintain a stable depth of anesthesia, in dogs
Document Type
Conference
Source
2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Medical Measurements and Applications (MeMeA), 2014 IEEE International Symposium on. :1-5 Jun, 2014
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Anesthesia
Electromyography
Brain modeling
Drugs
Dogs
Indexes
Fuzzy logic
control systems
anaesthesia
dogs
cerebral state index
fuzzy logic
Language
Abstract
The development of control and automatic systems is important to guarantee a stable anesthesia, with no under or over dosage, and no awareness episodes. In this study a controller for the Cerebral State Index (CSI — an electroencephalogram derived signal) was developed. This study was a simulation study, the CSI was modeled using a fuzzy logic model with two inputs the effect-site concentration of propofol and the electromyography (EMG). The controller was tested using constant and variable references in an exhaustive set of simulations. The controller developed presents a good performance in all simulations and the controlled variable seems to be influenced by electromyography level. A controller for propofol anesthesia for veterinary use is an important step towards the improvement of animal welfare. The overall aim is to improve animal safety and comfort.