• DocumentCode
    1193019
  • Title

    A Novel Blood Glucose Regulation Using TSK ^{0} -FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme

  • Author

    Ting, Chan Wai ; Quek, Chai

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    20
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    856
  • Lastpage
    871
  • Abstract
    This paper presents a novel blood glucose regulation for type I (insulin-dependent) diabetes mellitus patients using biologically inspired TSK0-FCMAC, a fuzzy cerebellar model articulation controller (CMAC) based on the zero-ordered Takagi-Sugeno-Kang (TSK) fuzzy inference scheme. TSK0-FCMAC is capable of performing localized online training with an effective fuzzy inference scheme that could respond swiftly to changing environment such as human´s endocrine system. Without prior knowledge of disturbance (e.g., food intake), the proposed fuzzy CMAC is able to capture the glucose-insulin dynamics of individuals under different dietary profiles. Preliminary simulations show that the blood glucose level is kept within the state of euglycemia. The design of the proposed system follows closely to what is available in real life and is suitable for animal and clinical pilot testing in the near future.
  • Keywords
    blood; cerebellar model arithmetic computers; fuzzy neural nets; fuzzy reasoning; learning (artificial intelligence); medical computing; medical control systems; medical disorders; neurocontrollers; blood glucose regulation; cerebellar model articulation controller; dietary profile; fuzzy CMAC; glucose-insulin dynamics; localized online training; type I insulin-dependent diabetes mellitus patient; zero-ordered Takagi-Sugeno-Kang fuzzy inference scheme; Blood glucose regulation; TSK $^{0}$-FCMAC; Takagi–Sugeno–Kang (TSK) fuzzy inference scheme; diabetes type I; dietary profile; intra- and interpatient metabolic variation; localized memory structure; model reference neural adaptive control; Adult; Algorithms; Artificial Intelligence; Blood Glucose; Computer Simulation; Diabetes Mellitus, Type 1; Diet; Fuzzy Logic; Glucose; Humans; Insulin; Insulin Infusion Systems; Male; Models, Biological; Neural Networks (Computer); Time;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2008.2011735
  • Filename
    4801524
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1193019