This project aims to develop algorithms or models to estimate the amount of fluid in the human body in relation to chronic diseases.
What you will do
The human body contains for a large part of water. Body water disorders like chronic kidney disease, congestive heart failure and edema are severe diseases. For example end stage kidney disease requires dialysis treatment for which the patients need to visit the hospital 3 times per week. Being able to extract the correct amount of fluid during dialysis will improve the quality of life of the patients and reduce side effects. Congestive heart failure patients can buildup fluid in the lungs. Being able to detect this fluid buildup early can prevent hospitalizations.
Thus being able to monitor body water and changes in body water content can steer treatment of these diseases. Local bioimpedance measurements can potentially be used to non-invasively and unobtrusively monitor body water content. Data has been collected in both healthy and diseased populations. The goal of this project would be to develop a reliable model for body water content estimation based on local bioimpedance measurements. Additionally, this project aims to give insight in the disease status (possibly also combining bioimpedance with additional sensor information). To reach these a model should be built and validated.
What we do for you
This project builds on expertise of the Connected Health Solutions team. Support in this project comes from a multi-disciplinary team with expertise from hardware design to algorithm development and clinical applications.
Who you are
Click on ‘apply’ to submit your application. You will then be redirected to e-recruiting.
Please be advised that non-EU/EEA country students that are studying outside of the Netherlands, need to have a work-permit to be able to do an internship in the Netherlands.