In vivo analysis of bone strain using fiber Bragg grating sensor and decision tree algorithm in bovine during masticatory movements

Abstract

This study focused on the development of a biosensor able to follow the deformations of the bone tissue and to allow for future studies in the areas of health sciences. The biosensor is designed with a titanium mesh, which is fixed in the jaws of the animal to be monitored. The animal received different kinds of foods to allow analysis of the signal acquired during feeding. The acquired signal was then subjected to a processing, which has been classified and capable of identifying the animal chewing process for each type of food. This technology has application in grazing, and can be useful in studies related to nutrition and animal health. The classification of the masticatory patterns is based on decision trees algorithm. The results demonstrate that the sensor is effective and is able to capture the differences in the deformation generated during the chewing process, generating a signal that can be identified by the algorithm presented.