Wavelet analysis of an electrogastrogram database

This paper presents the preliminary results of analysis of an electrogastrogram (EGG) database, as well as the procedure of its generation. The visual analysis of the EGG, denoised processes, filtering, wavelet analysis, reconstruction signal and classical parameters obtained are reported. Analysis of the data using these parameters corresponds to previously reported results as well as when they were compared with clinical evaluation. This database could be used in generation of intelligent systems for monitoring gastric performance as an aid for diagnosis.