Advertisement

A Spiking Neural Network for Personalised Modelling of Electrogastrography (EGG)

  • Vivienne Breen
  • Nikola Kasabov
  • Peng Du
  • Stefan Calder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9896)

Abstract

EGG records the resultant body surface potential of gastric slow waves (electrical activity); while slow waves regulate contractions of gastric muscles, it is the electrical activity we are recording, not movement (like ECG records the cardiac electrical activity, but not the contractions of the heart, even the two are essentially related).

Keywords

Spiking neural network Personalised modelling Electrogastrography Functional dyspepsia Slow wave dysrhythmia 

References

  1. 1.
    Kasabov, N.: NeuCube: a spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data. Neural Netw. 52, 62–76 (2014)CrossRefGoogle Scholar
  2. 2.
    Kasabov, N.: Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke. Neurocomputing 134, 11 (2014)CrossRefGoogle Scholar
  3. 3.
    Kasabov, N., et al.: Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: design methodology and selected applications. Neural Netw. 78, 1–14 (2016). Special Issue on “Neural Network Learning in Big Data”CrossRefGoogle Scholar
  4. 4.
    O’Grady, G., et al.: Recent progress in gastric arrhythmia: pathophysiology, clinical significance and future horizons. Clin. Exp. Pharmacol. Physiol. 41(10), 854–862 (2014)CrossRefGoogle Scholar
  5. 5.
    Kasabov, N.: Global, local and personalised modeling and pattern discovery in bioinformatics: an integrated approach. Pattern Recogn. Lett. 28, 673–685 (2016)CrossRefGoogle Scholar
  6. 6.
    Du, P., O’Grady, G., Paskaranandavadivel, N., Tang, S-j., Abell, T., Cheng, L.K.: Simultaneous anterior and posterior serosal mapping of gastric slow-wave dysrhythmias induced by vasopressin. Exp. Physiol. (2016). doi: 10.1113/EP085697

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Vivienne Breen
    • 1
  • Nikola Kasabov
    • 1
  • Peng Du
    • 2
  • Stefan Calder
    • 2
  1. 1.Knowledge Engineering and Discovery Research InstituteAuckland University of TechnologyAucklandNew Zealand
  2. 2.Auckland Bioengineering InstituteUniversity of AucklandAucklandNew Zealand

Personalised recommendations