This project aims to develop algorithms and/or models to estimate the amount of fluid in the human body in chronic kidney patients.
What you will do
The kidney plays an important role in fluid homeostasis in the body. In patients with chronic kidney disease (CKD) the kidney is damaged and can no longer optimally remain fluid homeostasis in the body, leading to fluid buildup in the body, which causes heart failure due to an increased blood pressure and problems with respiration due to fluid retention in the lungs. Currently, the majority of patients with end stage renal disease (ESRD) must visit the hospital multiple times during the week (on average 3 times/week) for dialysis treatment. During this treatment a machine is connected to the blood system of the patient to remove waste, extra chemicals and fluid from the blood. In between two consecutive dialysis treatments, fluid builds up in the body and during the treatment a rapid fluid shift can lead to intradialytic hypotension. Both fluid overload and intradialytic hypotension are associated with reduced survival rates in ESRD patients.
To date, the amount of fluid that is extracted during dialysis is based on the patients weight pre- and post-dialysis and clinically determined dry weight set points. It has been shown that bioimpedance (BioZ) is a technique that can be used to monitor fluid changes in the body and within imec wearable sensor technology has been developed that will enable continuous measurements of BioZ signals, both during the dialysis treatment as well as in a home setting in between two dialysis treatment. Monitoring of fluid status will offer the opportunity to personalize dialysis treatment to improve the quality of life for the patients and to reduce side effects of the treatment.
Data has been collected in both healthy and in patients with CKD. The goal of this project is to develop reliable algorithms and/or models 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).
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.