Master assignments

CRPH welcomes students with a biomedical engineering, or technical medicine background. We are eager to supervise a wide range of assignments within the scientific, clinical and translational scope of our staff members. In order to assure a perfect match with the individual expertise and interest of members of our group scientific topics should be chosen accordingly, so that all students can maximally benefit from the supervision of CRPH staff members.

For Technical Medicine students it is important that they are in the Medical Sensing & Stimulation track.

For Biomedical Engineering students it is important that they are in the Physiological Signals and Systems track.
Regarding the course list (https://www.utwente.nl/en/bme/education/vakkenlijsten-2022-2023.pdf) there are some courses from the elective options that are relevant for our group. Biological Control Systems (#7) is compulsory to do a project within CPRH. Depending on your interests, this can be supplemented by a choice of the following courses:
#14 Mathematical methods
#15 Nonlinear Dynamics
#17 System Identif. Parameter Estim. and ML
#18 Machine Learning I
#19 Biophysical Fluid Dynamics: The Respiratory System

If you are interested in a specific assignment or wonder whether we could act as a supervisor, we invite you to learn more about our team and publication list and eventually schedule an appointment with a CRPH team member via our office manager (c.j.holkenbrink@utwente.nl) to discuss all possibilities.

Current Students

Emese van Dalen, BSc

Biomedical Engineering, Physiological Signals & Systems, University of Twente
Contact: emesevandalen@hotmail.com / https://www.linkedin.com/in/emese-van-dalen/
September 2023 - April 2024

 Assignment
Hypotension is a common complication during or shortly after the anaesthesia induction, referred to as post-induction hypotension. My research aims to predict post-induction hypotension based on patient and surgery characteristics and medication and physiological data using Machine Learning models. The ultimate goal is to utilize the predictive model as a decision support tool for the anaesthesiologist, improving patient safety. 

Collaborating partner
Medisch Spectrum Twente Enschede - Anesthesiology

Committee
Prof. Dr. D. W. Donker (Chair)
Dr. J.W. Potters (Daily (medical) supervisor UT)
M.P. Mulder, MSc (Daily (technical) supervisor UT)
Dr. M. Poel (External supervisor UT)
Drs. R.M. Krol (Process supervisor)


Kimmia Azampanah, BSc

Technical Medicine, Medical Sensing & Stimulation, University of Twente
Contact: https://www.linkedin.com/in/kimmia-azampanah-7114ba15a/
October 2023 – August 2024

Assignment
To optimizing daily management of patients that receive venoarterial extracorporeal membrane oxygenation (VA ECMO) therapy in the Intensive Care, it is vital to assess the cardiac function of the patient. Due to complex patient-device interactions, it is challenging to estimate ventricular recovery or deterioration. This research aims to develop a method to continuously monitor left ventricular function by using a digital twin.

Collaborating partner
University Medical Centre Utrecht – Intensive Care Unit

Committee
Prof. Dr. D. W. Donker (Chair)
J.A.J.M. Hermens, MSc. (Medical supervisor)
Dr. L. Fresiello (Technical supervisor)
M.P. Mulder, MSc. (Technical-Medical supervisor)
E.M. Walter, MSc. (Process supervisor)


For our former master student assignments look at this page