Long-Term Simulation of Digestive Sound Signals by CEPSTRAL Technique

Authors: Einalou Z., Najafi Z., Maghooli K. Zandi Y, Sheibeigi A

Abstract:

In this study, an investigation over digestive diseases has been done in which the sound acts as a detector medium. Pursue to the preprocessing the extracted signal in cepstrum domain is registered. After classification of digestive diseases, the system selects random samples based on their features and generates the interest nonstationary, long-term signals via inverse transform in cepstral domain which is presented in digital and sonic form as the output. This structure is updatable or on the other word, by receiving a new signal the corresponding disease classification is updated in the feature domain.

Keywords: Cepstrum, databank, digestive disease, acousticsignal.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1071049

References:

[1] M. Akay, 4 Processing, Academic signal. Biomedical press 1994.
[2] Rangayyan R.M, Biomedical signal Analysis, IEEE Press _ wiley, 2002.
[3] Cohn A., Biomedical signal Processing, Vol. 1& 2, CR Press 1986.
[4] Mendel J.M Lessons in Estimation theory for control, Prentice Hall, 1995 MIT.BIH.
[5] Roffe Y., Einav S., Liaw J., and Keren G., ''Cepstrum Analysis of Reflected Pressure Waves in stenosed Arteries", Department of Biological Engineering & Computing, 34, pp 175_180, 1996.
[6] Lizzi, F.L., Feleppa, E.J., Yaremko, M .M., King, D .L.and wai ,P, "Liver_tissue characterization by digital spectrum and cepstrum analysis"Proceeding of the 1980 IEEE Ultrasound Symposium. McAvoy B. R. New York, Institute of Electrical and Electronics Engineers, 1981, pp 575_578.
[7] Mitev, P. ,Hadjitodorov, S."Cepstrum method for fundamental frequency evaluation pathological voices."In: Proc.Of VIII National Conf. Biomedical Physics and Engineering, Sofia, Oct.2000,pp.54_57.