Skip to main content
SpringerLink
Log in

Assessment of Slow Wave Propagation in Different Phases of Food Stimulation in the Multichannel Electrogastrographic Signal (EGG)

  • Conference paper
  • First Online:
Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

Included in the following conference series:

  • 646 Accesses

Abstract

The electrogastrogram (EGG), a cutaneous recording of electrical activity in the stomach is a mixture of 3 cycle per minute (3 cpm) gastric pacesetter potential known as slow wave, electrical activity from other organs and noise. Proper slow wave propagation is responsible for gastric peristaltic contractions, which are the basis for emptying of solids from stomach. Delay in the stomach emptying leads to some gastric disorders such as bloating, vomiting or nausea. To assess the slow wave propagation it is necessary to obtain slow wave in each channel of multichannel EGGs. In this paper combined methods: Independent Component Analysis (ICA) and adaptive filtering in the cosine transform domain was proposed to gain a purified EGG signal from each channel. Time shift between EGG signals from various channels was estimated by means of cross covariance analysis performed after adaptive filtering of each channel with reference signal obtained from blind sources separation by ICA algorithm. The effectiveness of that proposed methods was at first validated for the synthetic data and after was applied for human EGG, recorded before and after food stimulation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alvarez, W.C.: The electrogastrogram and what it shows. J. Am. Med. Assoc. 78 (1922)

    Google Scholar 

  2. Chen, J.D.Z., Lin, Z.: Comparison of adaptive filtering in time-, transform-, and frequency-domain: an electrogastrograpihic study. Ann. Biomed. Eng. 22, 423–431 (1994)

    Article  Google Scholar 

  3. Chen, J.D.Z., McCallum, R.W.: Electrogastrograpthy: measurement, analysis and prospective applications. Med. Biomed. Eng. Comput. 29, 339–350 (1991)

    Google Scholar 

  4. Chen, J.D.Z., Zou, X., Lin, X., Ouyang, S., Liang, J.: Detection of gastric slow wave propagation from the cutaneous electrogastrogram. AJP Gastrointest. Liver Physiol. 277, G424–G430 (1999)

    Google Scholar 

  5. Comon, P.: Independent Component Analysis, A new Concept? Elsevier, Special Issue on High-Order Statistics, vol. 36 (1994)

    Google Scholar 

  6. Hyvärinen, A.: Survey on independent component analysis. Neural Comput. Surv. 2, 94–128 (1999)

    Google Scholar 

  7. Hyvärinen, A., Oja, E.: Independent component analysis: algorithms and applications. Neural Netw. 13(4–5), 411–430 (2000)

    Article  Google Scholar 

  8. Jurlewicz, T., Skoczylas, Z.,: Algebra Liniowa 2. (Linear algebra II) Oficyna Wydawnicza GiS, Wydanie 7, p. 94, Wrocław 2005 (In Polish)

    Google Scholar 

  9. Koch, K.L., Stern, R.M: Handbook of Electrogastrography. Oxford University Press (2004)

    Google Scholar 

  10. Liang, H.: Extraction of gastric slow waves from electrogastrograms: combining independent component analysis and adaptive signal enhancement. Med. Biomed. Eng. Comput. 43, 245–251 (2005)

    Article  Google Scholar 

  11. Liang, J., Chen, J.D.Z.: What can be measured from surface electrogastrography. Dig. Dis. Sci. 42(7), 1331–1343 (1997)

    Article  Google Scholar 

  12. Parkman, H.P., Hasler, W.L., Barnett, J.L., Eaker, E.Y: Electrogastrography: a document prepared by the gastric section of the American motility society clinical GI motility testing task force. Neurogastroenterol. Motil. 15, 89–102 (2003)

    Google Scholar 

  13. Thakor, N.V., Zhu, Y.Z.: Application of adaptive filtering to ECG analysis: noise cancellation and arrhythmia detection. IEEE Trans. Biomed. Eng. BME 38, 785–794 (1991)

    Article  Google Scholar 

  14. Wang, Z.S., Cheung, J.Y., Chen, J.D.Z.: Blind separation of multichannel electrogastrograms using independent component analysis based on a neural network. Med. Biomed. Eng. Comput. 37, 80–86 (1999)

    Article  Google Scholar 

  15. Ward, S.M., Sanders, K.M.: Physiology and pathophysiology of interstitial cell of Cajal: from bench to bedside. Functional development and plasticity of interstitial cells of Cajal networks. AJP Gastrointest. Liver Physiol. 281, G602–G611 (2001)

    Google Scholar 

  16. Widrow, B., Glover, J.R., McCool, J.M., Kaunitz, J., Williams, C.S., Hearn, R.H., Zeidler, J.R., Eugene Dong, J. Jr., Goodlin, R.C.: Adaptive noise canceling: principles and applications. In: Proceedings of the IEEE, vol. 63, pp. 1692–1716

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Department of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Zabrze, Poland

    Barbara T. Mika & Ewaryst J. Tkacz

Authors
  1. Barbara T. Mika
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ewaryst J. Tkacz
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Barbara T. Mika .

Editor information

Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Mika, B.T., Tkacz, E.J. (2016). Assessment of Slow Wave Propagation in Different Phases of Food Stimulation in the Multichannel Electrogastrographic Signal (EGG). In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39796-2_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation