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Research project  |  Knee Osteoarthritis Correction through Haptics (KOACH)

KOACH

Innovative KOA solution combining a smart wearable ankle sleeve, mobile app and clinical dashboard with motion analysis algorithms, biomechanical monitoring and personalized haptic feedback for in-clinic and at-home rehabilitation.

What we do

In Europe, approximately 60 million people are affected by knee osteoarthritis (KOA), which makes it the leading cause of chronic pain and physical disability in adults \>40\. It significantly affects people's quality of life and becomes a (economic) burden on the healthcare system when not treated properly. Studies have shown that non-surgical treatments can delay disease progression and improve function and quality of life, if people use the right tools and adhere to a suitable treatment. Such tools and treatment protocols do not yet exist, in this project, the consortium aims to addresses this.

In this project, the consortium aims to design, develop and validate an innovative and easy-to-use product suite for people with Knee OsteoArthritis (KOA), consisting of a smart wearable ankle sleeve with a mobile application and clinical dashboard that is ready for use in-clinic and at-home. What makes this ankle sleeve smart, is not only the measurements and feedback to the platform, but also the haptic feedback to the patient, based on the treatment of the healthcare professional. The consortium wants to revolutionize KOA treatment by combining state-of-the-art movement algorithms, wearable tech and direct haptic feedback technology.
 
At Erasmus MC, we will study the patient and clinician needs and preferences for the treatment tool targeting the foot progression angle. These insights will further share the development of the device and will facilitate future implementation in clinical practice, where physiotherapist will be able to deliver the intervention and remotely monitor their patients.

At the final stage of the project, we will pilot test the prototype within physical therapy practices, to assess acceptability, feasibility, and ease of use.  
 
This project is supported by Eurostars
Elitac Systems BV 
Moveshelf Labs BV 
Born GmbH knitwear for fashion & engineering 
Eidgenössische Technische Hochschule Zürich
 

Principal Investigators

Postdocs