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IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Spectral Analysis Of Electrogastrogram

[Full Text]

 

AUTHOR(S)

R.Chandrasekaran, T.R.Thamizhvani, A.Josephin Arockia Dhivya, R.J.Hemalatha

 

KEYWORDS

MEGG (Multichannel Electrogastrogram); Gastroparesis; Spectral Analysis.

 

ABSTRACT

Gastroparesis is a condition that affects the normal motility of muscle in the stomach and is commonly called as paralysis of stomach. Electrogastrography is the technique for measuring electrical activity of the stomach. The Electrogastrography is also used to measure the gastric mobility and various stomach disorders like tachy-gastria, brady-gastria, dyspepsia, peptic ulcer, gastric tumor etc. Electrogastro-gram is the graphical representation of the Electrogastrography. The Electrogastrography procedure is recommended by the physician to diagnose the dis orders in the stomach. Electrogastrography procedure is taken generally under two conditions: Fasting condition and post prandial condition. This procedure is followed strictly to measure the gastric activity and gastric emptying test. The food is propelled into the stomach and the pacemaker of the stomach fails to contract the muscles of stomach that leads to gastroparesis condition. The diabetic patients often get into the gastroparesis condition. This remains as a major factor; stomach motility is slowed down. In this paper, data acquisition system for acquiring multichannel electrogastrogram is developed and the gastric signal is acquired and analysed using MATLAB. Through the spectral analysis of gastric slow-wave, the gastroparesis condition is diagnosed. The MEGG-Multichannel Channel Electrogastrogram signal is acquired in two states: Fasting state and Postprandial state.

 

REFERENCES

[1] Şükrü Okkesim; Abdullah Al Kafee; Mustafa Selman Yildirim; Yusuf Kayar; Ahmet Danalioğlu; Mehmet Aydin; Sadık Kara, “Line length feature of the electrogastrogram for delayed gastric emptying diagnosis ”, 2016 IEEE International Conference on Signal and Image Processing (ICSIP), DOI: 10.1109/SIPROCESS.2016.7888305.
[2] Armen A. Gharibans; Sanggyun Kim; David C. Kunkel; Todd P. Coleman, “High-Resolution Electrogastrogram: A Novel, Noninva-sive Method for Determining Gastric Slow-Wave Direction and Speed”, IEEE Transactions on Biomedical Engineering ( Volume: 64, Issue: 4, April 2017 ), DOI: 10.1109/TBME.2016.2579310.
[3] Abdullah al kafee; Şükrü Okkesim; İmran Yıldırım; Yusuf Kayar; Mehmet Aydın; Ahmet Danalıoğlu, “Correlation analyses of Electrogastrography and Gastric Emptying test Result”, DOI: 10.1109/TIPTEKNO.2015.7374543.2015 Medical Technologies National Conference (TIPTEKNO).
[4] Gopu govindasamy, T subamathi, Asamsa Das, T G Triesa, “Gas-tric Stimulator Innova”, Circuits, communication, control and Computing, 2014 International conference., https://doi.org/10.1109/CIMCA.2014.7057786.
[5] T. J. Contreras, ET all. , “System for acquisition and analysis of Multichannel electrogastrogram”, 2010 7th International Confer-ence on Electrical Engineering, Computing Science and Automatic Control (CCE 2010) Tuxtla Gutiérrez, Chiapas, México. September 8-10, 2010.
[6] N. A. Hadi, A. Giouvanoudi, R. Morton, P. W. Horton, and N.M. Spyrou., “Variations in Gastric Emptying Times of Three Stomach Regions for Simple and Complex Meals Using Scintigraphy”, IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 49, NO. Five, OCTOBER 2002.
[7] Bruce J. West, Artur Maciejewski, Miroslaw Latka, Tadeusz Sebz-da, Zbigniew Swierczynski,Sylwia Cybulska-Okołow, Eugeniusz Baran .,“Wavelet analysis of scaling properties of gastric electrical activity”., J Appl Physiol 101: 1425–1431, 2006. First published June 22, 2006 doi:10.1152/japplphysiol.01364.2004.

[8] Stefan Calder1, Leo K. Cheng1, 2 and Peng Du1 (2014), “A theo-retical analysis of the electrogastrogram” 978-1- 4244-7929-0/14/$26.00.
[9] Hualou Liang* and Zhiyue Lin., “Detection of Delayed Gastric Emptying from Electrogastrograms with Support Vector Machine”. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 48, NO. Five, MAY 2001
[10] M. L. Buist, L. K. Cheng, K. M. Sanders, A. J. Pullan, “Multiscale modelling of human gastric electric activity: can the electrogastro-gram detect functional electrical uncoupling? Experimental Physi-ology 91 (2), 383–390, 2006.
[11] Prokešová J., Dolina J, “clinical application of electrogastrogra-phy”, SCRIPTA MEDICA, Volume 82, No. 4, 236-238, 2009.
[12] Villamar L. A., Rabadán A., L. Martínez Pérez, Garay L. I. , “Dise-ño e implementación de UN electrogastrógrafo para uso educativo”, Memorias del 5to. Congreso Internacional de Ingeniería Elec-tromecánica y de Sistemas, México, D.F., Del 10 al de Noviembre, ISBN 978-607- 414-049- 1, 2008.
[13] Hrair P. Simonian, Kashyap Panganamamula, Henry P.Parkman, Xiaohong Xu, Jiande Z. Chen, Greger Lindberg, Hui Xu, Chi Shao, Mei-Yun Ke, Michael Lykke, Per Hansen, Bjorn Barner and Henrik Buhl, “Multichannel Electrogastrography (EGG) in Normal Sub-jects: A Multicenter Study” Digestive Disease and Science, Volume 49, (4), 594-601, 2004.
[14] Kennenth L. Koch, Robert M. Stern, “Electrogastrographic Data Acquisition and Analysis” in Electrogastrography: Principles and Applications, Jiande Z. Chen, Richard W. McCallum, NY:Raven Press, 1994, Part 1, pp. 31–44.
[15] Xuemei Lin and Jiande Z. Chen, “Abnormal gastric slow Waves in patients with functional dyspepsia assessed by Multichannel elec-trogastrography”, Am J Physiol Gastrointest Liver Physiol, 280: Is-sue 6, G1370-G1375, 2001.