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Blood Glucose Model

Source Notebook

Model of the blood glucose level in the human body

Examples

Basic Examples (2) 

Retrieve the model:

In[1]:=
ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\)]
Out[1]=

The annotation:

In[2]:=
ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\), "Annotation"]
Out[2]=

Scope & Additional Elements (4) 

Available content elements:

In[3]:=
\!\(\* TagBox[ RowBox[{"ResourceObject", "[", "\"\<Blood Glucose Model\>\"", "]"}], #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\)["ContentElements"]
Out[3]=

The available model types:

In[4]:=
ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\), "AvailableModelTypes"]
Out[4]=

The operating point:

In[5]:=
ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\), "OperatingPoint"]
Out[5]=

The parameters:

In[6]:=
ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\), "Parameters"]
Out[6]=

Analysis (3) 

The numerical model:

In[7]:=
assm = ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\)] /. ResourceData[\!\(\* TagBox["\"\<Blood Glucose Model\>\"", #& , BoxID -> "ResourceTag-Blood Glucose Model-Input", AutoDelete->True]\), "Parameters"]
Out[7]=
The system is slow with poles close to the y axis:
In[8]:=
olp = TransferFunctionPoles[TransferFunctionModel[assm]]
Out[8]=
The glucose level takes a long time to settle:
In[9]:=
OutputResponse[assm, {0, UnitStep[t]}, {t, 0, 200}]; Plot[%, {t, 0, 200}, PlotRange -> All]
Out[10]=

Suba Thomas, "Blood Glucose Model" from the Wolfram Data Repository (2025)  

Data Resource History

  • Date Created:

Source Metadata

  • Citation:
    • L. Kovács, B. Paláncz, and Z. Benyó, "Design of Luenberger observer for glucose-insulin control via Mathematica", in Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Lyon, France, 2007

Publisher Information

  • Prepared for the Wolfram Data Repository By: Maher Kuzbari, Suba Thomas
  • Publisher of Record: Suba Thomas