A Sample Reduction and ANN Based Classification of Temporomandibular Joint Sounds

In this study, a portable sound recording equipmentalong with the user interface software is developed forTemporomandibular Joint (TMJ) sound classification. TMJ issimply known as jaw bone joint and problems arising fromproblematic joints known as Temporomandibular Disorder(TMD). TMD is a frequent disorder, it is so common that morethan two third of population have some kind and level of TMD.TMJ sound listening one of the diagnose methods by the clinicdentists. In the study mentioned TMJ sounds are collected byportable equipment. After collection of data, some signalprocessing and data reduction based on sample reduction isrealized. After obtaining relatively low point of data, ANN basedclassification of the sound waves are realized. Classificationsuccess rate is 78.9%