• DocumentCode
    1378473
  • Title

    Use of spectral analysis in the detection of frequency differences in the electrogastrograms of normal and diabetic subjects

  • Author

    Pfister, C.J. ; Hamilton, J.W. ; Nagel, Nancy ; Bass, Paul ; Webster, John G. ; Tompkins, Willis J.

  • Author_Institution
    Wisconsin Univ., Madison, WI, USA
  • Volume
    35
  • Issue
    11
  • fYear
    1988
  • Firstpage
    935
  • Lastpage
    941
  • Abstract
    The authors investigated the basal electrical rhythm (BER) of the stomach to determine if abnormalities of the BER occur in association with those gastric complaints in patients with long-term insulin-dependent diabetes. They recorded the basal electrical signal of the stomach in nine patients with diabetic gastroparesis and in 11 normal volunteers. They developed a microcomputer-based running spectral analysis technique (overlapping fast Fourier transforms) to analyze the recordings. They found no significant differences between the two subject groups in the prefed state but found a significantly higher proportion of episodes of high frequency, or tachygastria in the diabetic group in the postfed state (15.4-6.2%). The difference was also reflected in the higher postfed mean ´peak´ frequency of the diabetics. Both diabetics and normals show an increase in the mean of the peak frequency from pre- to postfed states, but the normals do not show an increase in episodes of tachygastria.
  • Keywords
    bioelectric potentials; spectral analysis; basal electrical rhythm; diabetic subjects; electrogastrograms; frequency differences; gastroparesis; microcomputer-based running spectral analysis technique; normal subjects; overlapping fast Fourier transforms; stomach; tachygastria; Bit error rate; Diabetes; Electrodes; Fast Fourier transforms; Frequency; Graphics; Gray-scale; Humans; Rhythm; Spectral analysis; Stomach; Diabetes Mellitus, Type 1; Electrophysiology; Gastrointestinal Motility; Humans; Signal Processing, Computer-Assisted; Stomach;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.8673
  • Filename
    8673