• DocumentCode
    2851001
  • Title

    Detection of organ dysfunction in type II diabetic patients

  • Author

    Vahidi, O. ; Gopaluni, R.B. ; Kwok, K.E.

  • Author_Institution
    Dept. of Chem. & Biol. Eng. at, Univ. of British Columbia, Vancouver, BC, Canada
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    4769
  • Lastpage
    4774
  • Abstract
    Type II diabetes mellitus is characterized by several abnormalities in different body organs such as the pancreas, the liver, muscles and adipose tissues. We have developed a technique to detect the dysfunction of different organs in a group of type II diabetic patients. The detection of these abnormalities is performed through euglycemic insulin clamp and hyperglycemia clamp applied to a type II diabetes model developed in our previous work [1]. Since the peripheral insulin and glucose concentrations are the only common clinical measurements, we have used a particle filtering algorithm to estimate the insulin and glucose concentrations in different parts of the body. These concentrations reflect the pancreatic insulin secretion rate as well as the glucose metabolic rates in the liver, muscles and adipose tissues which represent the functional behavior of the corresponding organs. Our results show that the proposed technique is capable of detecting deficiencies in the pancreatic insulin production, the peripheral glucose uptake, endogenous glucose production and hepatic glucose uptake rates. The information provided by the algorithm can, therefore, be used to choose a suitable dietary program and/or prescribe an efficient medication for type II diabetic patients.
  • Keywords
    diseases; medical control systems; particle filtering (numerical methods); adipose tissues; body organs; clinical measurement; diabetes mellitus; dietary program; endogenous glucose production; euglycemic insulin clamp; glucose concentration; glucose metabolic rates; hepatic glucose uptake rates; hyperglycemia clamp; liver; medication; muscles; organ dysfunction detection; pancreas; pancreatic insulin production; pancreatic insulin secretion rate; particle filtering algorithm; peripheral glucose uptake; peripheral insulin; type II diabetic patients; Clamps; Diabetes; Equations; Insulin; Mathematical model; Sugar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991034
  • Filename
    5991034