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

Year 2017, Volume: 17 Issue: 1, 3065 - 3073, 27.03.2017

Çiğdem Gülüzar Altıntop , Fatma Latifoğlu , Emre Çelikzencir Gülten Can Sezgin Mustafa Alper Yurci

https://izlik.org/JA59XH84WK

Abstract

Gastroparesis is a chronic disease of stomach
mobility, defined as delay in the emptying of food from the stomach without
mechanical obstruction. Various methods are used for the diagnosis
of gastroparesis and scintigraphy method is accepted as the gold standard. In
this study, Electrogastrogram (EGG) signals were obtained from gastroparesis
patients and healthy volunteers using cutaneous electrodes. Unlike the methods
used in the frequency analysis of EGG signals in the literature, parametric
methods have been used in this study and the selection of the method to be used
has not been determined intuitively, it has been determined by mathematical
calculations. Cramer-Rao Lower Bound (CRLB) method has been used to determine
which method should be used for obtaining Power Spectral Density (PSD). Using selected
parameter estimation method, PSD graphs were obtained. Several features were extracted
from the PSD graphs 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. Best electrode placement that can be
used for this disease has been achieved succesfully.

Keywords

Gastroparesis , Electrogastrogram , Cramer-Rao Lower Bound , Autoregressive Parameter , Power Spectral Density

References

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