Abstracts
Copyright ©The Author(s) 1996. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Sep 15, 1996; 2(Suppl1): 65-65
Published online Sep 15, 1996. doi: 10.3748/wjg.v2.iSuppl1.65
Analysis and processing of electrogastroenteric signal
Wen-Jie Xu, Wen-Bin Yang
Wen-Jie Xu, Wen-Bin Yang, Hefei Branch, The Chinese Academy of Sciences, Hefei, Anhui Province, China
Author contributions: All authors contributed equally to the work.
Received: December 11, 1995
Revised: February 14, 1996
Accepted: June 1, 1996
Published online: September 15, 1996
Abstract

AIM: Electrogastroenteric signal is very weak and is always buried in strong noises. It suffers from interference originating from the patient's body and various environmental factors; In addition, the signal itself has random characteristics. Obviously, by means of simple waveform analysis, it is difficult, even impossible, to show the physiological information expressed by this special bioelectrical signal.

METHODS: This paper will introduce an electrogastroenteric analyzer (Model WCDF) which has carried out extracting the signal steadily with weak signal detection technique. At the same time, the analyzer makes use of the software developed by ourselves to analyze the waveforms recorded. First, the signal of time domain is divided into time segment and processed with Fourier spectrum analysis method; Them the signal is transferred from time domain to frequency domain. The analyzer simultaneously monitors several points on the abdominal surface and uses the running spectrum method to expand the power spectrum into a function of time. The running is expressed by a pseudo three dimensional expansion to study the dynamic regularity of the signal. Meanwhile, the disorder index of electrogastric rhythm is shown in histograms. The 3 D diagram and histogram give us a straight forward criteria. Second, we used the experiences from gastroenterologists at home and abroad for reference and progressively summed up several parameters that could reflect the variation regularity of waveforms. We strived for providing identification criteria in a quantitative basis for clinical analysis, and achieved a good effect.

RESULTS: The paper will also describe the general health investigation for several thousand people and their clinical analysis by WCDF-4B electrogastro-enteric analyzer. Some heavy symptomatic patients with upper digestive tract illness underwent the test with gastroscopy, or Gl and did not find abnormality; However they were found to be function obstacle of gastric motion by means of the electrogastroenteric analyzer.

CONCLUSION: We believe that the electrogastroenteric analyzer will by a non-invasive and effective method for clinical diagnosis along with the advance of the technology and spreading clinical application of the analyzer to achieve more mature experiences.

Keywords: Analysis and processing, Electrogastroenteric signal