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

Zhiyue Lin, Richard W. McCallum, Jiande Chen

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

Abstract

The currently established gastric emptying test requires the patient to take a radio-active 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 publicationIEEE International Conference on Neural Networks - Conference Proceedings
PublisherIEEE
Pages67-70
Number of pages4
Volume1
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4) - Houston, TX, USA
Duration: Jun 9 1997Jun 12 1997

Other

OtherProceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4)
CityHouston, TX, USA
Period6/9/976/12/97

Fingerprint

Neural networks
Network layers
Feedforward neural networks
Multilayer neural networks
Cameras

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Lin, Z., McCallum, R. W., & Chen, J. (1997). Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks. In IEEE International Conference on Neural Networks - Conference Proceedings (Vol. 1, pp. 67-70). IEEE.

Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks. / Lin, Zhiyue; McCallum, Richard W.; Chen, Jiande.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 1 IEEE, 1997. p. 67-70.

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

Lin, Z, McCallum, RW & Chen, J 1997, Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 1, IEEE, pp. 67-70, Proceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4), Houston, TX, USA, 6/9/97.
Lin Z, McCallum RW, Chen J. Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks. In IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 1. IEEE. 1997. p. 67-70
Lin, Zhiyue ; McCallum, Richard W. ; Chen, Jiande. / Noninvasive diagnosis of delayed gastric emptying from cutaneous electrogastrograms using neural networks. IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 1 IEEE, 1997. pp. 67-70
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