The application is highly modular and supports integration with other tools. Along implementing custom filter, model, metric and solver algorithm with a
compiled language (e.g. C++), a researcher can create custom model or solver algorithm with Matlab.
Matlab user can implement custom model of glucose dynamics or a solver algorithm. You can find an example of such scripts
in the matlab subdirectory - simple linear regression and linear model. Let this example be your starting point in developing a custom model
or solver algorithm.
The most important file in Matlab connection is a manifest - matlab_manifest.xml. This file contains XML-formatted structures, which defines
Matlab scripts to be run for a given purpose. This file should be present in filters subdirectory of the compiled software. The developer
can further specify input and output parameters, such as signals needed for the calculation.
By defining the session name and exporting the same name in already running instance of Matlab, the debugging routines becomes available.