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 (j.g.gerrits@utwente.nl) to discuss all possibilities.
Current Students
Mirjam Markusse, BSc
Technical Medicine, Medical Sensing & Stimulation, University of Twente
Contact: m.markusse@student.utwente.nl
August 2022 - September 2023
Assignment
Though hypotension is common during surgery, its treatment is of more reactive than preventive in nature. My research focuses on advanced signal analysis and machine learning methods to predict hypotension, and guide haemodynamic management in the operating room.
Collaborating partner
Medisch Spectrum Twente Enschede - Anesthesiology
Committee
Prof. Dr. D. W. Donker (Chair)
Dr. J.W. Potters (Medical supervisor)
Dr. L. Fresiello (Technological supervisor UT)
M.P. Mulder, MSc (Technological supervisor UT)
Drs. R.M. Krol (Process supervisor)
Maaike Wösten, BSc
Technical Medicine, Medical Sensing & Stimulation, University of Twente
Applied Mathematics, Systems, Analysis and Computational Sciences
Contact: http://www.linkedin.com/in/maaike-wösten-152b6a153
September 2022 - October 2023
Assignment
To improve the clinical management of patients supported with VA-ECMO, it is important to continuously monitor the condition of the heart. The heart and the VA-ECMO circuit both contribute to the patient’s hemodynamics. This complicates monitoring the condition of the heart accurately. Therefore, in this research, we aim to describe the contribution of the native heart using cardiovascular models and clinical data.
Collaborating partner
University Medical Centre Utrecht, Intensive Care Centrum
Research Group: Mathematics of Systems Theory, University of Twente
Committee
Prof. Dr. H. Zwart (Chair)
Prof. Dr. D. W. Donker (Medical supervisor)
Dr. L. Fresiello (Technological supervisor UT)
Dr. Lisette M. Vernooij (Additional supervisor)
Drs. R.M. Krol (Process supervisor)
Wibrich Boskma, BSc
Technical Medicine, Medical Sensing & Stimulation, University of Twente
Applied Mathematics, Systems, Analysis and Computational Sciences
Contact: www.linkedin.com/in/wibrich-boskma
October 2022 – October 2023
Assignment
This research aims to develop and validate a bedside stand-alone device to measure functional residual capacity in mechanical ventilated children as a tool to assess their pulmonary status and the effect of ventilator settings. With the results, a decision support model can be designed to improve ventilation settings, lung recruitment and clinical practice in the paediatric intensive care unit.
Collaborating partner
University Medical Centre Groningen – Paediatric Intensive Care Unit
Committee
Prof. Dr. D. W. Donker (Chair)
Dr. M.C.J. Kneyber, MD PhD FCCM (Medical supervisor)
Drs. R.G.T. Blokpoel (Medical supervisor)
A.A. Koopman, MSc. (Technical medicinal supervisor)
Dr. E. Mos-Oppersma (Technical supervisor UT)
Drs. J. de Witte (Process supervisor)
Marit Bot, BSc
Technical Medicine, Medical Sensing & Stimulation, University of Twente
Contact: https://www.linkedin.com/in/marit-bot-745b74222/
Jan 2023 – Dec 2023
Assignment
Discovering underlying markers in the identification of sepsis. Using waveforms measured at the Emergency Department as input for an unsupervised deep learning model, I aim to uncover clusters of sepsis patients and relate the findings.
Collaborating partner
University Medical Centre Groningen – Emergency Room
Committee
Prof. Dr. D. W. Donker (Chair)
Prof. Dr. J.C. ter Maaten (Medical Supervisor)
M.P. Mulder, MSc (Technological supervisor UT)
Drs. J. de Witte (Process supervisor)
Gerwin Numan, BSc
Biomedical Engineering, Medical Device Design, University of Groningen
Contact : g.k.numan@utwente.nl or g.k.numan@student.rug.nl
February 2023 - July 2023
Assignment
The goal is to develop a 3D anatomical model of the aorta which can be attached to the in silico- in vitro blood circulation simulator. By creating a compliant aorto, which can be attached to the simulator, investigations on Extracorporeal Membrane Oxygenation (ECMO) therapy can be performed. When the pump of the ECMO is inserted into the aorta, the setup can be altered to mimic patient specific conditions, investigate patient-device interactions, measure the region of collision, flow pattern and flow development during ECMO treatment.
Committee
dr. ir. L. Fresiello (Daily Supervisor UT)
dr. ir. R. Fluit (First Examiner, University of Groningen)
Prof. Dr. D. W. Donker (Second Examiner, University of Twente
Former students
Anna Schoonhoven, BSc
Technical Medicine, Medical Sensing & Stimulation, University of Twente
Contact: https://www.linkedin.com/in/anna-schoonhoven-50692b160/
January 2022 - December 2022
Assignment
Accurate identification of sepsis and prediction of patients at risk is essential to improve treatment. In this research, I try to predict sepsis within 48 hours among patients with early sepsis in the Emergency Room, based on several features from waveforms derived from EMG and PPG wearables with machine-learning methods.
Collaborating partner
University Medical Centre Groningen - Emergency Room
Committee
Prof. Dr. Ir. H.J. Hermens (Chair)
Prof. Dr. J.C. ter Maaten (Medical supervisor)
Prof. Dr. D. W. Donker (Technological supervisor UT)
M.P. Mulder, MSc (Technological supervisor UT)
dr. M. Groenier (Process supervisor)