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Controlling the hypnotic drug (propofol) to maintain a stable depth of anesthesia, in dogs

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Abstract(s)

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.

Description

Simpósito Internacional MeMeA, realizado em 2014.

Keywords

Control systems Anaesthesia Dogs Cerebral state index Fuzzy logic

Citation

S. Brás, L. Ribeiro, D. A. Ferreira, L. Antunes and C. S. Nunes, "Controlling the hypnotic drug (propofol) to maintain a stable depth of anesthesia, in dogs," 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2014, pp. 189-193 https://doi.org/10.1109/MeMeA.2014.6860055

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