Statistical Feature Extraction and Ann Based Classification of Temporamandibular Joint Sounds

Abstract

In this study, a statistical feature extraction method is used to classify the Temporomandibular Joint (TMJ) sound. Temporomandibular Disorder (TMD) is the problems arising from or related to disorder of TMJ which is commonly known as jaw bone joint. TMD is a recurrent disorder related to jaw joint and common problem among the population. In fact TMD is so frequent that more than two third of population have some kind and level of TMD. TMJ sound listening is the easiest and quickest diagnose methods used by the clinic dentists. In the study, statistical features of TMJ sounds are extracted. Then extracted statistical features are applied to ANN for training and testing. Mean classification success rate of 87% to 89% is obtained in the study.