Formation and Identification of a Model for Recurrent Laryngeal Nerve Localization During the Surgery on Neck Organs

Abstract

In the article, a structural identification method for models of objects with distributed parameters is considered. The method is based on the artificial bee colony behavioral model as well as the interval data analysis. The artificial model imitates the foraging behavior of a honey bee colony. The proposed method of structural identification makes it possible to build models of objects with distributed parameters in the form of interval discrete difference scheme. This method is applied when solving the problem of recurrent laryngeal nerve (RLN) monitoring during the surgery on neck organs. The principles of building RLN localization systems based on the electrophysiological method of surgical wound tissue stimulation are considered. Based on the results of previous researches, an actual task of the model building of the main spectral component amplitudes (signal of reaction on surgical wound tissues stimulation) spatial distribution on the surface of surgical wound is solved. Using the method of structural identification and based on the results of electrophysiological researches of surgical wound tissues during the surgery, such a model for RLN localization is built. The model with the appropriate adjustments for each patient makes it possible to identify the RLN location and to reduce the risk of its damage during the neck organs surgery.