Prototype algorithm for automated determination of gastric slow wave characteristics

M. B. Gray, R. D. Williams, J. D.Z. Chen

Research output: Contribution to journalArticlepeer-review

Abstract

An algorithm for determining the frequency and propagation time of the gastric slow wave has been designed for integration into a demand gastric pacing system. The algorithm analyses the serosal activity in both the time and frequency domains, and the results are compared to produce a conclusion only when the values are within 5% of each other. Thus, the probability of inappropriate intervention is reduced, at the expense of unidentified segments. The system is verified by comparing the conclusions produced by the algorithm with conclusions from hand analysis of seven canine and one human serosal recordings. The algorithm correctly identifies the slow-wave frequency in the distal portion of the stomach for 90% of the segments, while producing no incorrect results. Slow-wave propagation times in the antrum are correctly identified for 84% of the segments, with no incorrect identifications.

Original languageEnglish (US)
Pages (from-to)49-55
Number of pages7
JournalMedical and Biological Engineering and Computing
Volume38
Issue number1
DOIs
StatePublished - Jan 1 2000
Externally publishedYes

Keywords

  • Gastric pacemaker
  • Gastric slow wave
  • Serosal activity analysis

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Prototype algorithm for automated determination of gastric slow wave characteristics'. Together they form a unique fingerprint.

Cite this