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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

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

  • [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.

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

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

Abstract

References

  • [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.
There are 3 citations in total.

Details

Subjects Engineering
Journal Section Articles
Authors

Çiğdem Gülüzar Altıntop

Fatma Latifoğlu

Emre Çelikzencir This is me

Gülten Can Sezgin This is me

Mustafa Alper Yurci This is me

Publication Date March 27, 2017
Published in Issue Year 2017 Volume: 17 Issue: 1

Cite

APA Altıntop, Ç. G., Latifoğlu, F., Çelikzencir, E., Can Sezgin, G., et al. (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. March 2017;17(1):3065-3073.
Chicago Altıntop, Çiğdem Gülüzar, Fatma Latifoğlu, Emre Çelikzencir, Gülten Can Sezgin, and 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, no. 1 (March 2017): 3065-73.
EndNote Altıntop ÇG, Latifoğlu F, Çelikzencir E, Can Sezgin G, Yurci MA (March 1, 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, and 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, vol. 17, no. 1, pp. 3065–3073, 2017.
ISNAD Altıntop, Çiğdem Gülüzar et al. “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”. IU-Journal of Electrical & Electronics Engineering 17/1 (March 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 et al. “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”. IU-Journal of Electrical & Electronics Engineering, vol. 17, no. 1, 2017, pp. 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.
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