Modelica Models and Jupyter Notebooks for System Analysis of Glucose Insulin Regulation

This dataset contains source code of Modelica models of Glucose-Insulin regulation using different techniques.

Accompanying Jupyter notebook is demo for system analysis (parameter estimation) of artificial data and to match model simulation able to be used in Teaching class.

• ModelicaIdentification.ipynb - default notebook - code contains ellipsis which needs to be replaced as per instruction in text
• ModelicaIdentificationResolution.ipynb - notebook - code with exemplar solution to default notebook
• glucoseinsulin.mo - Modelica source code
• PatientInsulinConcentration.csv - sample data to be fitted against model
• seminar11hw.GIExperiment.fmu - FMU exported from Modelica in order to run simulation in Python and PyFMI library

Thanks to the MYBINDER service, the Jupyter notebook can be viewed and executed as

• https://mybinder.org/v2/zenodo/10.5281/zenodo.3633324/ note that you need to launch terminal first in Jupyter -> New -> Terminal and install pyfmi and matplotlib by:

conda install -c conda-forge pyfmi matplotlib

• Most recent version with other models and notebooks https://mybinder.org/v2/gh/creative-connections/Bodylight-notebooks/master?filepath=Seminar11GlucoseInsulinIdentification/