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

Yıl 2017, Cilt: 17 Sayı: 1, 3065 - 3073, 27.03.2017

Öz

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.

Kaynakça

  • [1] R.M. Stern, K.L. Koch, W.R. Stewart, MW. Vasey, “Electrogastrography: current issues in validation and methodology”, Psychophysiology, vol. 24, pp. 55–64, 1987.
  • [2] R.D. Rothstein, A. Alavi, J.C. Reynolds, “Electrogastrography in patients with gastroparesis and effect of longterm cisapride”, Digestive Diseases and Sciences, vol. 38, pp.1518-1524, 1993.
  • [3] J.D. Chen, Z. Lin, J. Pan, R.W. McCallum, “Abnormal gastric myoelectrical activity and delayed gastric emptying in patients with symptoms suggestive of gastroparesis”, Digestive Diseases and Sciences, vol. 41, no. 8, pp. 1538-1545,1996.
Yıl 2017, Cilt: 17 Sayı: 1, 3065 - 3073, 27.03.2017

Öz

Kaynakça

  • [1] R.M. Stern, K.L. Koch, W.R. Stewart, MW. Vasey, “Electrogastrography: current issues in validation and methodology”, Psychophysiology, vol. 24, pp. 55–64, 1987.
  • [2] R.D. Rothstein, A. Alavi, J.C. Reynolds, “Electrogastrography in patients with gastroparesis and effect of longterm cisapride”, Digestive Diseases and Sciences, vol. 38, pp.1518-1524, 1993.
  • [3] J.D. Chen, Z. Lin, J. Pan, R.W. McCallum, “Abnormal gastric myoelectrical activity and delayed gastric emptying in patients with symptoms suggestive of gastroparesis”, Digestive Diseases and Sciences, vol. 41, no. 8, pp. 1538-1545,1996.
Toplam 3 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Makaleler
Yazarlar

Çiğdem Gülüzar Altıntop

Fatma Latifoğlu

Emre Çelikzencir Bu kişi benim

Gülten Can Sezgin Bu kişi benim

Mustafa Alper Yurci Bu kişi benim

Yayımlanma Tarihi 27 Mart 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 17 Sayı: 1

Kaynak Göster

APA Altıntop, Ç. G., Latifoğlu, F., Çelikzencir, E., Can Sezgin, G., vd. (2017). Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density. IU-Journal of Electrical & Electronics Engineering, 17(1), 3065-3073.
AMA Altıntop ÇG, Latifoğlu F, Çelikzencir E, Can Sezgin G, Yurci MA. Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density. IU-Journal of Electrical & Electronics Engineering. Mart 2017;17(1):3065-3073.
Chicago Altıntop, Çiğdem Gülüzar, Fatma Latifoğlu, Emre Çelikzencir, Gülten Can Sezgin, ve Mustafa Alper Yurci. “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”. IU-Journal of Electrical & Electronics Engineering 17, sy. 1 (Mart 2017): 3065-73.
EndNote Altıntop ÇG, Latifoğlu F, Çelikzencir E, Can Sezgin G, Yurci MA (01 Mart 2017) Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density. IU-Journal of Electrical & Electronics Engineering 17 1 3065–3073.
IEEE Ç. G. Altıntop, F. Latifoğlu, E. Çelikzencir, G. Can Sezgin, ve M. A. Yurci, “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”, IU-Journal of Electrical & Electronics Engineering, c. 17, sy. 1, ss. 3065–3073, 2017.
ISNAD Altıntop, Çiğdem Gülüzar vd. “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”. IU-Journal of Electrical & Electronics Engineering 17/1 (Mart 2017), 3065-3073.
JAMA Altıntop ÇG, Latifoğlu F, Çelikzencir E, Can Sezgin G, Yurci MA. Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density. IU-Journal of Electrical & Electronics Engineering. 2017;17:3065–3073.
MLA Altıntop, Çiğdem Gülüzar vd. “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”. IU-Journal of Electrical & Electronics Engineering, c. 17, sy. 1, 2017, ss. 3065-73.
Vancouver Altıntop ÇG, Latifoğlu F, Çelikzencir E, Can Sezgin G, Yurci MA. Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density. IU-Journal of Electrical & Electronics Engineering. 2017;17(1):3065-73.