Making sense sensor data for personalized health care

About 40.000 people annually suffer from the consequences of a stroke. Common problems after a stroke are difficulties with walking and standing. Therefore improving walking and standing performances are the main goals during rehabilitation.  

Objective

The aim of this project is to precisely map the recovery of walking and standing performances using inertial sensors. Through data analysis and machine learning we will be able to create subgroups and thereby be able to personalize rehabilitation.

Results

There are no results yet.

Approach

A uniform assessment will be developed to reliably assess walking and standing. This assessment will be implemented in multiple rehabilitation centers across the Netherlands. Physical therapists will be able to perform the data analyses through a web application.  Moreover the findings derived from the conducted research will be implemented in the application as well. 

 

Do you want to participate in this project?

Students from various fields are welcome to participate.

We are looking for:

  • Physical or Exercise therapist with experience in rehabilitation after a stroke.
  • Students who are interested in advanced data analysis.
  • Students who want to contribute to an interactive, data driven webapplication

HU researchers involved in the research

Related research groups

Collaboration with knowledge partners