Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density

Abstract

Gastroparesis is a chronic disease of stomach mobility, defined as delay in the emptying of food from thestomach without mechanical obstruction. Various methods are used for the diagnosis of gastroparesis and scintigraphymethod is accepted as the gold standard. In this study, Electrogastrogram (EGG) signals were obtained fromgastroparesis patients and healthy volunteers using cutaneous electrodes. Unlike the methods used in the frequencyanalysis of EGG signals in the literature, parametric methods have been used in this study and the selection of themethod to be used has not been determined intuitively, it has been determined by mathematical calculations. CramerRao Lower Bound (CRLB) method has been used to determine which method should be used for obtaining PowerSpectral Density (PSD). Using selected parameter estimation method, PSD functions were obtained. Several featureswere extracted from the PSD functions and they were utilized to differentiate patient and healthy groups. As a result,features that can classify EGG signals from gastroparesis patients and healthy subjects, have been obtained. Bestelectrode placement that can be used for this disease has been achieved succesfully.