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Methods Inf Med 2000; 39(02): 186-190
DOI: 10.1055/s-0038-1634266
Original Article
Schattauer GmbH

Spatio-Temporal Nonlinear Modeling of Gastric Myoelectrical Activity

Z. S. Wang
1   The University of Texas, Medical Branch, GI Division, USA
,
J. Y. Cheung
2   Department of Electrical and Computer Engineering, University of Oklahoma, USA
,
S. K. Gao
3   Department of Electrical Engineering, Tsinghua University, Beijing, PR China
,
J. D. Z. Chen
1   The University of Texas, Medical Branch, GI Division, USA
› Author Affiliations
Further Information

Publication History

Publication Date:
07 February 2018 (online)

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Abstract:

The accomplishment of a complete digestive process of human stomach is regulated by a spatio-temporally-coordinated electric pattern called gastric myoelectrical activity (GMA). The normal patterns of GMA present temporal evolution from endogenous rhythmic oscillation to bursting of spikes associated with contractions, and also ordered spatial propagation of the oscillating waves. The abnormal patterns of GMA have been observed in temporal dysrhythmia, such as tachygastria, bradygastria and arrhythmia, and in spatial propagation failure, such as retrograde propagation and uncoupling. Different GMA patterns are associated with different gastric symptoms and there exist some nonlinear mechanisms to govern the formation and dynamic evolution of these patterns. However, these mechanisms are so complex that few of them are known by medical observations. The aim of this study is to explore these mechanisms by spatio-temporal modeling of GMA. The single-cell model simulating the formation process of slow waves and spikes, the multi-cell model simulating the propagation process of GMA and the extracellular model simulating the formation of bipolar recordings are presented.

Keywords:

Spatio-temporal Nonlinear Modeling - Gastric Myoelectrical Activity - Chaos
 

  • REFERENCES

  • 1 Sarna SK, Otterson MF. Myoelectric and contractile activities, in Atlas of Gastrointestinal Motility in Health and Disease,. Edited by Schuster MM. Baltimore: Williams & Wilkins; 1993
    Google Scholar
  • 2 Chen JDZ, Pan J, McCallum RW. Clinical significance of gastric myoelectrical dysrhythmia. Dig Dis 1995; 13: 275-90.
    CrossrefPubMedGoogle Scholar
  • 3 Wang ZS, He ZY, Chen JD. Filter Banks and Neural Network-based Features Extraction and Automatic Classification of Electrogastrogram. Annals of Biomedical Engineering 1999; 27: 88-95.
    CrossrefPubMedGoogle Scholar
  • 4 Telander RL, Morgan KG, Kreulen DL, Schemalz PF, Kelly KA, Szurszewki JH. Human gastric atony with tachygastria and gastric retention. Gastroenterology 1978; 75: 495-501.
    PubMedGoogle Scholar
  • 5 Glass L, Mackey MC. From Clocks to Chaos: the rhythms of life. Princeton University Press; 1988
    Google Scholar
  • 6 West BJ. Patterns, Information and Chaos in Neural Systems. SNPLS: Vol. 2.
    PubMedGoogle Scholar
  • 7 Hodgkin AL, Huxley AF. A Quantitative Description of Membrane Current and Its Application to Conduction and Excitation in Nerve. J. Physiol 1952; 117: 500-44.
    CrossrefPubMedGoogle Scholar
  • 8 Sarna SK, Daniel EE, Kingma YJ. Simulation of the Electric-Control Activity of the Stomach by an Array of Relaxation Oscillators. Dig Dis 1972; 17: 299-310.
    PubMedGoogle Scholar
  • 9 Brown BH, Duthie HL, Horn AR. et al. A linked oscillator model of electrical activity of human small intestine. Am J Physiol 1975; 229: 384-8.
    PubMedGoogle Scholar