Ready to return to sport?
Anterior cruciate ligament (ACL) rupture is a common injury in athletes. An ACL reconstruction can largely restore the biomechanics of the knee. However, only half of the athletes return to their old level and in addition there is a 33% chance of recurrence of injury.
Current tests may not be sufficient to determine whether an injured individual is ready for the next step in rehabilitation.
In order to optimize and personalize the rehabilitation after ACL reconstruction, it is essential to map the quality of the movement of athletes/patients, in addition to the standard tests. This will help recognize the athletes/patients with an increased risk of recurrence and ultimately prevent recurrences as much as possible. Measuring during sport-specific movements is extremely useful. But what exactly do you need to look at? And how can athletes be challenged to push the boundaries during testing, in order to best mimic the sport-specific context? What are triggers that are similar to this context and that can bring out risky movements?
User interfaces (UIs) to provide insight into the results of measurements are developed to provide insight to the professional and patient. At the moment, no optimal (UI) is available to link the information back to the users (professional and patient) and thus achieve the desired movement behaviour. It is essential to include the professional and patient perspective to tailor the UI to the needs of users to ensure that product can be successfully marketed. What do they need, and how is information most insightful and intuitive to display for both target groups? Using DesignThinking method, it is desirable to look for a suitable solution in an iterative process in which professionals and patients play an important role. The involved partner and manufacturer of the sensors and UI makes available software that can be built into.
So, how can optimal use be made of data collected with sensors to determine if a patient is ready to return to the sport? Which sport-specific movements and outcome measures are most suitable for mapping relevant quality of movement? How can an athlete/patient be challenged using ICT solutions? And how to design an UI that effectively gives useful information to the professional and patient?
Cluster: Keep on moving
This project contributes to the following Sustainable Development Goals (SDGs):