A Sample Reduction and ANN Based Classification of Temporomandibular Joint Sounds
Abstract
In this study, a portable sound recording equipment
along with the user interface software is developed for
Temporomandibular Joint (TMJ) sound classification. TMJ is
simply known as jaw bone joint and problems arising from
problematic joints known as Temporomandibular Disorder
(TMD). TMD is a frequent disorder, it is so common that more
than two third of population have some kind and level of TMD.
TMJ sound listening one of the diagnose methods by the clinic
dentists. In the study mentioned TMJ sounds are collected by
portable equipment. After collection of data, some signal
processing and data reduction based on sample reduction is
realized. After obtaining relatively low point of data, ANN based
classification of the sound waves are realized. Classification
success rate is 78.9%.
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