Supervised exercise Treatment of spondyloARthritis using Virtual Reality and machine learning

In this project, we will use VR-goggles for specific tests and training exercises for mobility, balance and movement control in people with axial spondylarthritis.

Axial spondylarthritis (axSpA) is a chronic rheumatic disease primarily debuting among young adults, and leads to joint stiffness of the back and neck. Recent studies have also shown impaired balance and movement control. Treatment today consists of a combination of anti-inflammatory drugs and physical exercise, usually in the form of strength, cardio and mobility training.

Through VR technology, we will use personalized tests and training exercises that provide precise data on movement functions. These data will be analyzed with novel machine learning methods to identify unique patterns that guide the health givers towards personalized assessment and treatment in accordance with precision health.

The purpose of the project is to increase knowledge about disabilities in terms of balance and movement control in people with axSpA, and to evaluate the usability and effects of tailored based monitored VR training. We hope this treatment will contribute to reduced disease effects through more favorable posture patterns, balance and movement control, which has not been studied previously for this patient group.