High resolution methods of the analysis of acoustic signals in medicine

• Autorzy: Lis W. , Schmidt J.
• Konferencja: Proceedings of the 2 nd EAA International Symposium on Hydroacoustics 24-27 May 1999, Gdańsk-Jurata POLAND
• Języki publikacji: EN

Abstrakty

EN

The paper describes an analysis of the possible parametric methods used to estimate the spectrum of short acoustic signals of law oscillations. These kinds of signals often appear in acoustic waves emitted by the temporomandibular joint as it moves [1-2,5]. There is reason to suppose that the frequency which is characteristic of these oscillations could be an essential parameter confirming the pathology of the joint under examination. The measurement of low oscillations is difficult and not accurate, especially when nonparametric methods are used. The paper presents the results of analysis of a simulated short oscillating pulse using the DFT non-parametric method and the parametric method of linear prediction, using Burg algorithm. Finally, results of patient analysis are given, using the FFT and parametric methods.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 1999
• Tom: Vol. 2
• Strony: 335--340
• Opis fizyczny: Bibliogr. 6 poz., rys.

Twórcy

autor

Lis W.

• Technical University of Gdańsk, ul. G. Narutowicza 11/12, 80-952 Gdańsk POLAND

autor

Schmidt J.

• Technical University of Gdańsk, ul. G. Narutowicza 11/12, 80-952 Gdańsk POLAND

Bibliografia

• 1. R. Drum, M. Litt, Spectral Analysis of Temporomandibular Joint Sounds, The Journal of Prosthetic Dentistry, Vol.58 NoA pp. 485-494, (1987).
• 2. L. Heffez, D. Blaustein, Advances in Sonography of the Temporomandibular Joint, Oral Surg.Oral Med.Oral Pathol., 62:pp. 486-495, (1986).
• 3. W. Lis, J. Zienkiewicz, Analysis of Acoustic Emission Signals of the Temporomandibular Joint Using the Wavelets Transformation Method, Materials OSA, XLIV, Gdańsk - Jastrzębia Góra 1997, pp.423-428.
• 4. S.L. Marple Jr, Digital Spectral Analysis with Applications, Prentice-Hall, Englewood Cliffs, N.J., ch. 8, (1987).
• 5. Ch.Oster, R.W. Katzberg, R.H. Tallents, T.W. Morris, J.Bartholomew, T.L. Miller, K. Hayakawa, Characterization of Temporomondibular Joint Sounds, Oral Surg. 58, pp.10- 16, (1984).
• 6. H. Akaike, A New Look at the Statistical Model Identification, IEEE Trans. On Automatic Control, Vol. AC19, pp. 716-723, (1974).