Literature DB >> 8501284

Power spectral analysis of temporomandibular joint sounds in asymptomatic subjects.

L M Gallo1, R Airoldi, B Ernst, S Palla.   

Abstract

Very little has been done to quantify temporomandibular joint (TMJ) sound amplitudes and background noise and to determine the spectrum from healthy TMJs. Thus, the aim of this study was to record acoustically the sounds emitted by healthy TMJs with and without mandibular movements, for determination of baseline spectra. TMJ sounds were recorded bilaterally from 40 subjects with healthy joints by means of a self-developed recording system using miniature capacitor microphones inserted into the earpieces of a medical stethoscope placed in the meatus of the auditory canal. The recordings were performed without mandibular movements and during three consecutive opening and closing movements. The signals were high-pass-filtered at 50 Hz, low-pass-filtered at 2 kHz, and analyzed by fast Fourier transform computation on a 1024-point window (fs = 5 kHz). The linearly weighted average baseline spectrum recorded without motion showed maximum values of 31 dBSPL (sound pressure level) with a standard error of +2 to -3 dB. The linearly weighted average movement spectrum had a peak of 66 dBSPL at 156 Hz and decreased almost linearly by about 40 dB/decade to 25 dBSPL at 2000 Hz with a standard error of +/- 2 dB. Thus, the TMJ sound spectrum of mandibular movements in asymptomatic subjects differed at low frequencies by up to 35 dB from the baseline spectrum in absence of motion.

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Year:  1993        PMID: 8501284     DOI: 10.1177/00220345930720050701

Source DB:  PubMed          Journal:  J Dent Res        ISSN: 0022-0345            Impact factor:   6.116


  4 in total

1.  A Feasibility Study to Assess Vibration and Sound From Zygapophyseal Joints During Motion Before and After Spinal Manipulation.

Authors:  Gregory D Cramer; Matthew Budavich; Preetam Bora; Kim Ross
Journal:  J Manipulative Physiol Ther       Date:  2017-03-06       Impact factor: 1.437

2.  sEMG and Vibration System Monitoring for Differential Diagnosis in Temporomandibular Joint Disorders.

Authors:  Małgorzata Kulesa-Mrowiecka; Robert Barański; Maciej Kłaczyński
Journal:  Sensors (Basel)       Date:  2022-05-17       Impact factor: 3.847

3.  Signs and symptoms of temporomandibular joint disorders related to the degree of mouth opening and hearing loss.

Authors:  Panagiotis Kitsoulis; Aikaterini Marini; Kalliopi Iliou; Vasiliki Galani; Aristides Zimpis; Panagiotis Kanavaros; Georgios Paraskevas
Journal:  BMC Ear Nose Throat Disord       Date:  2011-05-25

4.  Analysis of Helkimo index for temporomandibular disorder diagnosis in the dental students of Faridabad city: A cross-sectional study.

Authors:  Sapna Rani; Salil Pawah; Sunil Gola; Mansha Bakshi
Journal:  J Indian Prosthodont Soc       Date:  2017 Jan-Mar
  4 in total

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