• DocumentCode
    2323128
  • Title

    Investigation of digestive system disorders using Electrogastrogram

  • Author

    Gopu, G. ; Neelaveni, R. ; Porkumaran, K.

  • Author_Institution
    Dept. of EEE., PSG Coll. of Technol., Coimbatore
  • fYear
    2008
  • fDate
    13-15 May 2008
  • Firstpage
    201
  • Lastpage
    205
  • Abstract
    Most of the people around the world face the problems related to health especially due to the food intake and disorders in the digestive system. Nowadays endoscope procedure is followed to investigate the problems in the digestive system disorders, which is a tedious, expensive and invasive method. A non-invasive, cheap and painless method called electrogastrogram (EGG) has been devised for the detection of electrical signal cutaneously from the stomach and it is an initial mode of investigation for gastric disorders before encouraging the endoscope procedure for uncomplicated Gastric disease and benign (non cancer). The main objective of this paper is to propose a simple method of finding the digestive systempsilas disorders more easily and accurately using virtual instrumentation (VI) based EGG. The recording setup or the model explained in this proposed system helped us to record the EGG for more than hundred patients, nearly 70-75% of the patient results in digestive systempsilas disorder such as dyspepsia (D), stomach ulcer (SU), gastric esophagus reflux disease (GERD), nausea (N), cyclic vomiting syndrome, etc. For the above said digestive systempsilas disorder dissimilarity is found in its frequency, amplitude, power spectrum analysis and the statistical analysis compared with its normal individual parameter at a high fair amount of accuracy.
  • Keywords
    bioelectric phenomena; biological organs; biomedical measurement; diseases; virtual instrumentation; cyclic vomiting syndrome; digestive system disorders; dyspepsia; electrical signal detection; electrogastrogram; gastric esophagus reflux disease; nausea; stomach; stomach ulcer; virtual instrumentation; Cancer detection; Digestive system; Diseases; Endoscopes; Esophagus; Frequency; Instruments; Signal detection; Statistical analysis; Stomach; Digestive system; Dyspepsia; Electrogastrogram; Gastric Esophagus Reflux Disease; Nausea; Virtual Instrumentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1691-2
  • Electronic_ISBN
    978-1-4244-1692-9
  • Type

    conf

  • DOI
    10.1109/ICCCE.2008.4580596
  • Filename
    4580596