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Modeling and Control of an Ex Vivo Perfusion Machine
The reintegration of individuals who have experienced
accidents is at the heart of our efforts. A severe car
accident or a workplace accident, can profoundly change
a person's life. Such tragic events often result in serious
injuries, such as severed limbs, and are classified as
"polytrauma."
At our lab, we are working to mitigate the consequences
of such severe accidents. Using an innovative perfusion
machine, we are try to keep severed limbs alive outside
the body for up to four days. This time window provides
the foundation for successfully retransplanting the limb
to a stabilized polytrauma patient.
In your Semester Thesis, you will develop a
mathematical model of the perfusion machine, which will
be used to test new control algorithms in simulation. To
gather the necessary data for the mathematical model
you will run you own experiments on the perfusion
machine testbench and get the opportunity to
collaborate together with an entire team of dedicated and
experienced researchers from USZ and the IDSC group.
Prerequisites:
Willingness to go the extra mile and to work on a medical topic. Working experience with
MATLAB and SIMULINK is a must.
Good project management skills, proactive initiative, and pleasure to work as a team.
In your Semester Thesis, you will develop a mathematical model of the perfusion machine, which will be used to test new control algorithms in simulation. To gather the necessary data for the mathematical model you will run you own experiments on the perfusion machine testbench and get the opportunity to collaborate together with an entire team of dedicated and experienced researchers from USZ and the IDSC group.
Prerequisites: Willingness to go the extra mile and to work on a medical topic. Working experience with MATLAB and SIMULINK is a must. Good project management skills, proactive initiative, and pleasure to work as a team.
Derive a mathematical model and a corresponding MIMO controller for the perfusion machine.
Derive a mathematical model and a corresponding MIMO controller for the perfusion machine.
