Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks

Zhiyue Lin, Richard W. McCallum, Jian De Z. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The currently established gastric emptying test requires the patient to take a radioactive test meal and to stay under a gamma camera for acquiring abdominal images for 2 hours. It is invasive and expensive. Since the electrogastrogram (EGG) is a cutaneous recording of gastric myoelectrical activity which modulates gastric motor activity, we hypothesized that delayed gastric emptying might be predicted from the EGG using a neural network approach. In this study, simultaneous recordings of the EGG and the emptying rate of the stomach by means of the established method were made in 152 patients with suspected gastric motility disorders. A multilayer feedforward neural network approach for the diagnosis of delayed gastric emptying from the noninvasive EGG was developed. Using 5 spectral parameters of the EGG as inputs, a correct classification of 85% was achieved with an optimized three-layer network. This study indicates that the neural network approach is a potentially useful tool for the noninvasive diagnosis of delayed gastric emptying.

Original languageEnglish (US)
Title of host publication1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages67-70
Number of pages4
DOIs
StatePublished - Dec 1 1997
Externally publishedYes
Event1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States
Duration: Jun 9 1997Jun 12 1997

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume1
ISSN (Print)1098-7576

Conference

Conference1997 IEEE International Conference on Neural Networks, ICNN 1997
CountryUnited States
CityHouston, TX
Period6/9/976/12/97

ASJC Scopus subject areas

  • Software

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  • Cite this

    Lin, Z., McCallum, R. W., & Chen, J. D. Z. (1997). Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks. In 1997 IEEE International Conference on Neural Networks, ICNN 1997 (pp. 67-70). [611638] (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 1). https://doi.org/10.1109/ICNN.1997.611638