Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2017 / Cilt: 17 - Sayı: 1

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

Pages
3061–3067
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Bestelectrode placement that can be used for this disease has been achieved succesfully.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Gastroparesis is a chronic disease of stomach mobility, defined as delay in the emptying of food from thestomach without mechanical obstruction.
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Key Findings & Data:Various methods are used for the diagnosis of gastroparesis and scintigraphymethod is accepted as the gold standard.
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Conclusion & Impact:Bestelectrode placement that can be used for this disease has been achieved succesfully.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

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.

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Cite This Article

ALTINTOP, Ç. G., SEZGİN, G. C., ÇELİKZENCİR, E., YURCİ, A., LATİFOĞLU, F. (2022). Determining of Gastroparesis Disease from Electrogastrogram Signals Using Cramer-Rao Lower Bound and Power Spectral Density. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 17 - Sayı: 1, 3061–3067. https://ajindex.com/articles/543556

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References (14)

  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
  4. W.C. Alvarez, “The electrogastrogram and what it shows”, JAMA, vol. 78, pp. 1116–1118, 1922
  5. P. Camborova, P. Hubka, I. Sulkova, I. Hulin, “The pacemaker activity of interstitial cells of Cajal and gastric electrical activity”, Physiological Research, vol. 52, pp. 275-284, 2003
  6. B. Bolen. (2014, August). Stomach Problems Causes. Available: http://ibs.about.com/od/symptomsofib1/ a/StomachProblemsCause.htm
  7. K.L. Koch and R.M. Stern, “Handbook of Electrogastrography”, Oxford Press, New York, 2004
  8. AJPM. Smout, EJS. Van der, JL. Grashuis, “What is measured in electrogastrography?”, Digestive Diseases and Sciences, vol. 25, pp. 179-187, 1980
  9. M. Akay, “Time-frequency analyses of the electrogastrogram”, pp. 147-180. In: Time Frequency and Wavelets in Biomedical Signal Processing (Eds. M. Akay). The Institute of Electrical and Electronics Engineers, Inc., New York, 1998
  10. Ç.G. Acer, “Gastroparezi Hastalığının Teşhisi İçin Elektrogastrogram Sinyallerinden Özellik Çıkarımı”, M.S. Thesis, Biomed. Eng., Erciyes Uni., Insti. of Sci. and Tech., Kayseri, Turkey, 2015
  11. Ç.G. Altıntop, F. Latifoğlu, E. Çelikzencir, G. Can Sezgin, M.A. Yurci, "Cramer-Rao Alt Sınırı ile Elektrogastrogram Sinyallerinden Özbağlanım Parametrelerinin Belirlenmesi", Tıp Teknolojileri Ulusal Kongresi, Antalya, Türkiye, 2016, pp.18-21
  12. T. J. Contreras, M. A. Mayen, A. Servin, L. I. Garay, “System for acquisition and analysis of multichannel electrogastrogram”, 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, Mexico, 2010, pp. 220-224
  13. T. Ordog,, I. Takayama,, W.K.T. Cheung, S.M. Ward, K.M. Sanders, “Remodeling of networks of interstitial cells of Cajal in a murine model of diabetic gastroparesis”, Diabetes, vol. 49, pp. 1731-1739, 2000
  14. E.N. Marieb, K. Hoehn, “Human Anatomy & Physiology”, Pearson Higher Education, C