Artros: real-time feedback in knee osteoartritis

Therapy adherence is often low among patients with knee osteoarthritis. This negatively impacts treatment outcomes, as the level of therapy adherence affects treatment results significantly. Real-time feedback on gait patterns using sensor technology can increase therapy adherence, as patients receive the right feedback on the right moment.

Objective

Within the Artros project, user requirements and preferences are being assessed. This involves gathering input from physiotherapists, and patients with knee osteoarthritis regarding sensor technology used for real-time feedback on gait patterns. The goal is to explore the feasibility of distinguishing between favorable and unfavorable gait patterns by wearing a motion sensor.

Results

  • Assessment of user requirements and preferences from physiotherapists and patients with knee osteoarthritis regarding sensor technology for providing real-time feedback on gait patterns. 
  • Understanding the capabilities of sensor technology in distinguishing between favorable and unfavorable gait patterns among patients with knee osteoarthritis.
 

Duration

01 January 2024 - 01 January 2025

Approach

To identify user requirements and preferences, focus group meetings are conducted with physiotherapists and patients with knee osteoarthritis. The potential of sensor technology is investigated through a cross-sectional study, measuring healthy participants and patients with knee osteoarthritis while executing various walking patterns.

HU researchers involved in the research

Collaboration with knowledge partners

Would you like to collaborate or do you have any questions?

Ruben Stekelenburg

Ruben Stekelenburg

  • PhD candidate
  • Research group: Innovation of Movement Care