Gait impairments and motor disorders are frequently occurring phenomena across all ages in Western countries. These conditions not only constitute an enormous socio-economic burden but also have an impact on the lives of those affected by them. Various methods exist for evaluating and diagnosing movement disorders, as this information is critical to developing further treatment strategies. The Center for Digital Health Innovation combines human motion analysis with machine learning, visual analytics and mixed reality.
In this context, advanced methods stemming from the fields of human motion analysis and applied biomechanics, such as motion capturing techniques, are state-of-the-art in clinical practice. This technology allows us to collect three-dimensional (3D) kinematic and kinetic measurements that aim at gathering precise quantitative information about the mechanics of the musculoskeletal system.
Technical advances, such as machine learning, visual analytics or mixed reality, offer new treatment options in motor rehabilitation beyond the scope of existing approaches. However, to enable a broad application in clinical practice, further effort is required to transfer technological innovations originating at academic institutions to the open market.
Research with key focus on motor rehabilitation
Our focus on motor rehabilitation pursues innovation through:
- establishing a cutting-edge research facility at the UAS St. Pölten
- improving motor rehabilitation by incorporating methods from the fields of machine learning, visual analytics and mixed reality
- working closely together with industrial partners in order to promote technological transfer to the market
- ensuring the transfer of knowledge between R&D and teaching,
- establishing contact with international scientific networks and project activities
FH-Prof. Dr. Brian Horsak
Key Focus Coordinator
Our research aims at introducing new technology-driven approaches to support motor rehabilitation and promote a broad application in clinical practice by collaborating with industrial partners.