Simultaneous Enhancement and Compression of Electrogastrogram Signal Using Discrete Wavelet Transform

A Mohana Priya, V Priyadharshini, C Jamuna

Abstract


The Electrogastrogram signal (EGG) can be utilized more efficiently by medical doctors when they are displayed visually. This signal provides clinician with valuable diagnostic and prognostic information. EGG signals are so complex and non-stationary that they have a great difficulty to analyze in time or frequency domain. This article highlights the importance of the choice of wavelet, analyzing wavelet and its order in the EGG signal analysis using the wavelet transform: the discrete wavelet transform (DWT). This analysis is based on the application of a large number of orthogonal and bi-orthogonal wavelets and the value of the average difference (in absolute value) between the original signal and the synthesis signal obtained by multiresolution analysis (AM). The performance of the discrete wavelet transform (DWT) in the EGG signal analysis are evaluated and discussed in this paper. The results we obtain show the clinical usefulness of our extraction methods for signal compression (or EGG signal).

Keywords


Electrogastrogram, discret wavelet transform(DWT),Biorthogonal wavelets.

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