A first step towards a replaceable kidney: fluid balance using wearable sensor technology

At IMEC (Thesis)

Project Description
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).


Your Tasks

  • Data preprocessing and analysis.
  • Model building and algorithm development.
  • Conduct experiments to improve BioZ measurement/models.
  • Reporting and presenting.


Your Profile

  • Msc student in (Bio)medical Engineering, Electrical Engineering, Computer Science or Technical Medicine.
  • You are available for a period of 6-12 months.
  • Affinity with physiology.
  • Knowledge of data analytics and processing.
  • Knowledge of matlab, python or R.
  • Entitled to do an internship in the Netherlands (e.g. you hold a Dutch student visa).
  • Motivated student eager to work independently and expand knowledge in the field.
  • Good written and verbal English skills.




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.


Location: Eindhoven, Connected Health Solutions R&D


Apply now