@ARTICLE{Grochala_Justyna_A_2023,
 author={Grochala, Justyna and Kajor, Marcin and Pihut, Małgorzata and Loster, Jolanta E.},
 volume={Vol. 63},
 number={No 3},
 journal={Folia Medica Cracoviensia},
 pages={91-102},
 howpublished={online},
 year={2023},
 publisher={Oddział PAN w Krakowie; Uniwersytet Jagielloński – Collegium Medicum},
 abstract={The prevalence of TMD indicates a need to develop new tools that are useful in the case of screening examinations. These methods can support diagnosis at the early stage of the disorder. The purpose of this research was to develop a comprehensive tool that would function as both a database of sounds generated by TMJ and as software which facilitates automated diagnosis. The software would also use the data from the RDC/TMD questionnaire. Such a tool may significantly reduce the time spent by dentists on making manual RDC/TMD diagnoses. Moreover, this solution would enable dentists who do not specialise in TMD to make effective diagnoses. 95 patient took part in the clinical examination: 30 man and 65 females. The mean age of the participants was 33 years. Patients participating in the clinical process were examined according to the Polish version of the RDC/TMD questionnaire (Axis I and Axis II). Subsequently, all subjects were auscultated with an electronic stethoscope. An application has been im-plemented based on the RDC/TMD diagnostic flow chart. This tool was used for the automated generation of RDC/TMD diagnoses for all patients. As a result of the kind permission and participation of the patients under examination, it was possible to store records of ninety-five people. Each record contains RDC/TMD questionnaire data, auscultation signals and RDC/TMD diagnoses. For the first time, a database was created that has the potential to facilitate further examination. However, the developed system is universal and can therefore be adapted to new DC/TMD criteria.},
 type={Article},
 title={A proposal for a database of sounds generated by temporomandibular joints and a tool for automated diagnosis based on an RDC/TMD questionnaire},
 URL={http://ochroma.man.poznan.pl/Content/130144/2023-03-FMC-02-Artykuly-06.pdf},
 doi={10.24425/fmc.2023.147216},
 keywords={auscultation, TMJ, temporomandibular joints, TMJ sounds database, TMD, temporomandibular disorder, RDC/TMD},
}