• DocumentCode
    13169
  • Title

    A Model Approach: Mathematical modeling provides an increasingly clear picture of glucose and neural systems.

  • Author

    Cobelli, Claudio ; Ursino, Mauro

  • Author_Institution
    Dept. of Inf. Eng., Univ. of Padova, Padua, Italy
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • fDate
    July-Aug. 2015
  • Firstpage
    33
  • Lastpage
    38
  • Abstract
    Mathematical modeling of physiological systems is a fundamental milestone of biomedical engineering. Models allow for the quantitative understanding of the intimate functions of a biological system, estimating parameters that are not accessible to direct measurement and performing in silico trials by simulating and tracking a physiological system in case its function has been deranged. Modeling has always been central in the Italian biomedical engineering community. Here, we review the progress in two areas: glucose and neurocomputational modeling with an emphasis on their clinical impact.
  • Keywords
    biomedical engineering; neurophysiology; biological system; biomedical engineering; clinical impact; glucose; mathematical modeling; neural systems; neurocomputational modeling; physiological system; Biomedical monitoring; Diabetes; Insulin; Mathematical model; Medical services; Plasmas; Sensitivity;
  • fLanguage
    English
  • Journal_Title
    Pulse, IEEE
  • Publisher
    ieee
  • ISSN
    2154-2287
  • Type

    jour

  • DOI
    10.1109/MPUL.2015.2428681
  • Filename
    7156287