Timefrequency analysis and classification of temporomandibular joint sounds ?
In this paper, we present a method for timefrequency analysis and classification of temporomandibular joint (TMJ) sounds based on evolutionary spectrum. Many researchers have worked on sounds recorded from patients with pain and/or mechanical disfunction at TMJ. It is generally accepted that a detailed analysis of TMJ sounds might offer valuable information for diagnosis and initiation of a treatment. In this work, TMJ sounds from patients with different symptoms were recorded by means of accelerometers during jaw opening and closing cycles. Then, four main categories of TMJ signals were defined based on patient's medical examination and evolutionary spectra. A method is presented to classify TMJ sounds using their joint timefrequency moments and neural networks.
timefrequency analysis classification temporomandibular joint sounds evolutionary spectrum biomedical signal processing