Araştırma Makalesi

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

Cilt: 17 Sayı: 1 27 Mart 2017
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Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density

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.

Anahtar Kelimeler

Kaynakça

  1. [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. [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. [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.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Çiğdem Gülüzar Altıntop
ERCİYES ÜNİVERSİTESİ
Türkiye

Fatma Latifoğlu
ERCİYES ÜNİVERSİTESİ
Türkiye

Emre Çelikzencir Bu kişi benim
ERCİYES ÜNİVERSİTESİ
Türkiye

Gülten Can Sezgin Bu kişi benim
ERCİYES ÜNİVERSİTESİ
Türkiye

Mustafa Alper Yurci Bu kişi benim
ERCİYES ÜNİVERSİTESİ
Türkiye

Yayımlanma Tarihi

27 Mart 2017

Gönderilme Tarihi

30 Ocak 2017

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2017 Cilt: 17 Sayı: 1

Kaynak Göster

APA
Altıntop, Ç. G., Latifoğlu, F., Çelikzencir, E., Can Sezgin, G., & Yurci, M. A. (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. https://izlik.org/JA59XH84WK
AMA
1.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):3065-3073. https://izlik.org/JA59XH84WK
Chicago
Altıntop, Çiğdem Gülüzar, Fatma Latifoğlu, Emre Çelikzencir, Gülten Can Sezgin, ve Mustafa Alper Yurci. 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): 3065-73. https://izlik.org/JA59XH84WK.
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
[1]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, Mar. 2017, [çevrimiçi]. Erişim adresi: https://izlik.org/JA59XH84WK
ISNAD
Altıntop, Çiğdem Gülüzar - Latifoğlu, Fatma - Çelikzencir, Emre - Can Sezgin, Gülten - Yurci, Mustafa Alper. “Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density”. IU-Journal of Electrical & Electronics Engineering 17/1 (01 Mart 2017): 3065-3073. https://izlik.org/JA59XH84WK.
JAMA
1.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, Mart 2017, ss. 3065-73, https://izlik.org/JA59XH84WK.
Vancouver
1.Çiğdem Gülüzar Altıntop, Fatma Latifoğlu, Emre Çelikzencir, Gülten Can Sezgin, 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 [Internet]. 01 Mart 2017;17(1):3065-73. Erişim adresi: https://izlik.org/JA59XH84WK