The main objective of the project is to develop and test an innovative measuring instrument that, based on objective data, increases the efficiency of the rehabilitation of patients after anterior cruciate ligament reconstruction or knee osteoarthritis while reducing the number of treatments.


Healthcare, rehabilitation, wearable sensors, data analytics, machine learning


Within the project, a new type of "4D" sensor is being developed based on 3D IMMU (inertial magnetic measurement unit) and UWB sensor technology (ultra-wideband) for measuring 3D posture, movement and position. These sensors are supported by algorithms for analysis, interpretation and feedback of measurements of the relevant body angles. Central to this is the development of distributed methods for management, analysis and feedback of data, which make it possible to generate reference data and knowledge through data mining. This reference data can be used as a direct context in the application for interpretation support with each new measurement; the knowledge gained leads to improvement of the treatment itself. Supporting this is a distributed software platform that provides remote monitoring of the patient's movements and feedback.


  • Roessingh R&D (penvoerder)
  • Saxion
  • University of Twente
  • Gable Systems
  • Topvorm Twente


2020 – 2023.

More information


Dr. Jeroen Linssen

Associate Professor

06 - 8278 4767 linkedin


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Europees Fonds voor Regionale Ontwikkeling (EFRO)

This project is made possible in part by a contribution from the European Regional Development Fund of the European Union

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