J Adv Prosthodont.  2009 Mar;1(1):26-30. 10.4047/jap.2009.1.1.26.

Evaluation of TMJ sound on the subject with TMJ disorder by Joint Vibration Analysis

• Hwang IT
• Jung DU
• Lee JH
• Kang DW

• KMID: 2176337
• DOI: http://doi.org/10.4047/jap.2009.1.1.26

Abstract

STATEMENT OF PROBLEM: Qualitative and semi-quantitative methods have been developed for TMJ sound classification, but the criteria presented are completely inhomogeneous. Thus, to develop more objective criteria for defining TMJ sounds, electroacoustical systems have been developed. We used Joint vibration analysis in the BioPAK system (Bioresearch Inc., Milwaukee, USA) as the electrovibratography. PURPOSE: The aim of this study was to examine the TMJ sounds with repect to frequency spectra patterns and the integral > 300 Hz /< 300 Hz ratios via six-months follow-up. MATERIAL AND METHODS: This study was done before and after the six-months recordings with 20 dental school students showed anterior disk displacement with reduction. Joint vibrations were analyzed using a mathematical technique known as the Fast Fourier Transform. RESULTS: In this study Group I and Group II showed varied integral > 300 /< 300 ratios before and after the six-months recordings. Also, by the comparative study between the integral > 300 /< 300 ratios and the frequency spectrums, it was conceivable that the frequency spectrums showed similar patterns at the same location that the joint sound occurred before and after the six-months recordings. while the frequency spectrums showed varied patterns at the different locations that the joint sound occurred before and after six-month recordings, it would possibly be due to the differences in the degree of internal derangement and/or in the shape of the disc. CONCLUSIONS: It is suggested that clinicians consider the integral > 300 /< 300 ratios as well as the frequency spectrums to decide the starting-point of the treatment for TMJ sounds.

Keyword

Joint Vibration analysis; Temporaromandibular joint; Joint sound; Electrovibratography

MeSH Terms

Displacement (Psychology)
Follow-Up Studies
Fourier Analysis
Humans
Joints
Schools, Dental
Temporomandibular Joint
Temporomandibular Joint Disorders
Vibration

Figure

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  Fig. 1 Upper left: Raw data represents amplitude and duration data from 6 open/close cycles. Upper middle: the JVA summary represents numerics which are based upon absolute frequency spectra. Upper right: superimposed opening and closing cycles representing location of the joint sounds. Lower: the Frequency spectrum computed from the Fast Fourier Transform Algorithm.

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  Fig. 2 Subject No.13 in Group II showed joint sounds on the late opening cycles. (a); before six-months recordings showed 0.07 and 0.09 integral > 300 /< 300 ratios, repectively. (b); after the six-months recordings showed 0.08 and 0.16 integral > 300 /< 300 ratios, repectively. Although the integral > 300 /< 300 ratios were different, the frequency spectra showed similar patterns.

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  Fig. 3 Subject No. 6 in Group I showed joint sounds on the late opening cycles (before six-months) and the middle opening cycles (after the six-months). (a); before six-months recordings showed 0.07 and 0.12 integral > 300 /< 300 ratios, repectively. (b); after the six-months recordings showed 0.37 and 0.12 integral > 300 /< 300 ratios, repectively. As the integral > 300 /< 300 ratios were different, the frequency spectra showed various patterns.

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