3D MODELING AND SIMULATING OF THE PATIENT’S HEAD TEMPERATURE RESPONSE UNDER GENERAL ANESTHESIA

• Main Author: Dinda Rinata, Addin
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/40039
• Institution: Institut Teknologi Bandung

Thermoregulation is a regulation of thermal conditions carried out by the body to maintain core body temperatures in the range of 36.2oC - 37.5oC. However, the effect of anesthetic in the patient's body can reduce the temperature approximate to 2°C caused by a decline in hypothalamic function and heart rate. If this condition left without any proper treatment, the patient may suffer hypothermia. In an effort to support the project of medical measures to minimize the risk of hypothermia in patients during general anesthesia, the distribution of patient's body temperature was predicted by 3D modeling and simulating based body thermoregulation from the bio-heat equation. This study focused on the head section and the anesthetic effect focused on reducing metabolic heat in each tissue. The solutions of temperature distribution are obtained by using numerical method named Finite Volume Method (FVM) which is simulated using ANSYS FLUENT. There are three types of models built in this study. The first is the normal model based on the Fiala's model, the second is the normal model which is a modification of the Fiala's model, and the third is the patient model that is built from the modification of the normal model that has been validated. Each model is validated by comparing the simulation results with the measurement results. From the first model it was obtained that Tbrain core reached 50oC and T skin = 32oC. So that in the second model the metabolic heat is lowered parametrically to get the optimal temperature conditions in the normal body. From this second model the difference is obtained by measurements of ?TCore body=0.5oC, ?Tforehead=1.1oC, ?Ttemple=1.4oC, and ?Tback neck=0.1oC. And from the third model the difference is ?Tcore body=0.1oC, ?Tforehead=0.6oC, is ?Ttemple=0.3oC, and ?Tback neck=0.1oC. Based on the analysis of the range of thresholds and the level of convergence, the developed model has an ability as one of the alternative models to predict the patient's temperature response during general anesthesia, specifically related to the risk of hypothermia.