Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

Influences of Inter-electrode Distance on Electrogastrography Measurements

위전도 측정을 위한 전극간 부착거리에 관한 연구

  • Han, Wan-Taek (Department of Biomedical Engineering, Hanyang University) ;
  • Song, In-Ho (Department of Biomedical Engineering, Hanyang University) ;
  • Kim, In-Young (Department of Biomedical Engineering, Hanyang University)
  • 한완택 (한양대학교 의용생체공학과) ;
  • 송인호 (한양대학교 의용생체공학과) ;
  • 김인영 (한양대학교 의용생체공학과)
  • Published : 2009.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

Cutaneous electrogastrography is the measurement of electrical activity of the stomach on the abdominal surface. The validity of cutaneous electrogastrography is dependent upon the quality of the recording technique. The locations of electrodes are an important issue. We examined the influences of the inter-electrode distance of bipolar leads on electrogastrography measurements. The sensitivity distributions of EGG leads were calculated based on a 2D body fat model and evaluated according to the region of interest sensitivity ratio (ROISR). We simulated the ROISR of the inter-electrode distance in relation to various body fat thicknesses. The distance between the electrodes was proportional to the distance between the ROI and the surface of the abdomen. The results imply that inter-electrode distance can be applied in electrogastrography according to human body fat thickness.

Keywords

References

  1. W.C. Alvarez, 'The electrogastrogram and what it shows', JAMA, vol. 78, pp. 1116-1118, 1922 https://doi.org/10.1001/jama.1922.02640680020008
  2. F.Y. Chang, 'Electrogastrography: Basic knowledge, recording, processing and its clinical applications', J. of Gastroenterology and Hepatology, vol. 20, pp. 502-516, 2005 https://doi.org/10.1111/j.1440-1746.2004.03751.x
  3. Z.S.Wang, Z. He, J.D.Z. Chen, 'Chaotic Behavior of Gastric Migrating Myoelectrical Complex', IEEE trans. on biomed. Eng., vol.51, pp. 1401-1406, 2004 https://doi.org/10.1109/TBME.2004.827561
  4. M. Bortolotti, 'Electrogastrography: A seductive promise, only partially kept', Am. J. of Gastro., vol. 93, no.10, pp. 1791-1794, 1998
  5. P. Camborova, P. Hubka, I. Sulkova, I. Hulim, 'The Pacemaker Activity of Interstitial Cells of Cajal and Gastric Electrical Activity', Physiol. Res. vol. 52, pp. 275-284, 2003
  6. J. Vaisanen, O. Vaisanen, J. Malmivuo, J. Hyttinen, 'New method for analyzing sensitivity distributions of electroencephalography measurements', Med. Bio. Comput., vol. 46, pp. 101-108, 2008 https://doi.org/10.1007/s11517-007-0303-x
  7. O. Vaisanen, J. Vaisanen, J. Hyttinen , J. Malmivuo, J. Hyttinen, 'Effect of Source Depth on the Specificity of Bipolar EEG Measurements', in Proc. 28th EMBS Conference, New York, USA, 2006, pp. 1110-1113
  8. S. Grimnes, O. G. Martinsen, Bioimpedance and Bioelectricity Basics, Jamestown Road, London, Academic Press, 2000, pp. 129-138
  9. I.Y. Kim, W.T. Han, 'Detection of Gastric Contraction in Electrogastrography : Spectrum Analysis and Vector Analysis', J. of KOSOMBE, vol. 18, no. 3, pp273-283. 1997
  10. R. McFee, F.D. Johnston, Electrocardiographic leads I: introduction. Circulation 8(4):554-568, 1953
  11. M. Nomura, K. Uehara, K.Harada, E. Uemura, A. Iga, T. Kawano, A. Nishikado, K. Saito, Y. Nakaya, S. Ito, 'Impairment of gastrointestinal motility by nitrate administration: evaluation based on electrogastrographic changes and autonomic nerve activity', Aliment Pharmacol Ther., vol. 20, pp. 118-124, 2004 https://doi.org/10.1111/j.1365-2036.2004.01979.x
  12. H. P. Parkman, W. L. Hasler, J. L. Barnett, E. Y. Eaker, 'Electrogastrography: a document prepared by the gastric section of the american Motility Society Clinical GI Motility Testing Task Force', Neurogastroenterol Motil. vol. 15, pp. 89-102. 2003 https://doi.org/10.1046/j.1365-2982.2003.00396.x
  13. Z. S. Wang, S. Elsenbruch, W. C. Orr, J.D. Z. Chen, 'Detection of gastric slow wave uncoupling from multi-channel electrogastrogram: validations and applications', Neurogastroenterol Motil., vol. 15, pp. 457-465. 2003 https://doi.org/10.1046/j.1365-2982.2003.00430.x
  14. C. Peng, X. Qian, D. Ye, 'Electrogastrogram extraction using independent component analysis with references', Neural comput. & Applic., vol. 16, pp. 581-587, 2007 https://doi.org/10.1007/s00521-007-0100-3
  15. H.H.L. Kwok, 'Autoregressive Analysis Applied to Surface and Serosal Measurements of the Human Stomach', IEEE Trans. on Biomed. Eng., vol. 26, no. 7, 1979 https://doi.org/10.1109/TBME.1979.326419
  16. Y. Matsuura, K. Yokoyama, H. Takada, K. Shimada, 'Dynamics Analysis of Electrogastrography using Double-Wayland Algorithm', in Proc. 29th Conference of IEEE EMBS, Lyon, France, 2007, pp. 1973-1976
  17. M. Yoshida, Y. Kitani, M. Inoue, 'Basic Study for Measurement of Electrography', in Proc. 22nd IEEE EMBS, Chicago, USA, July. 2000, pp. 1962-1963
  18. M. Inoue, S. Iwamura, M. Yohhida, 'EGG measurement under various situations', in Proc. 23rd IEEE EMBS, Istanbul, Turkey, October. 2001, pp. 3356-3358
  19. S. K. Wong, P. W. Chiu, J. C. Wu, J. J. Sung, E. K. Ng, 'Transcutaneous electrogastrographic study of gastric myoelectric activity in transposed intrathoracic stomach after esophagectomy', Diseases of the Esophagus, vol. 20, pp. 69-74, 2007 https://doi.org/10.1111/j.1442-2050.2007.00641.x
  20. C. H. Durney, D. A. Christensen, Basic Introduction to Bioelectromagnetics, New York, CRC Press, 2000, pp. 35-55