Helga Haberfehlner
Helga’s project is entitled Home-based measurements of dyskinesia using smartphone coupled inertial sensor technology and machine learning (MODYS@home).
The aim of this project is develop an application for the automatic assessment of movement disorders in children, that allows measurements over a longer period of time at home. By combining inertial sensor data and clinical scoring from video’s an algorithm will be trained that automatically detects dyskinesia.
The project is a cooperation between the Cerebrale Parese Expertisecentrum – Amsterdam UMC (Annemieke Buizer, Marjolein van der Krogt and Laura Bonouvrié), Jaap Harlaar (TU Delft) and Moveshelf, a company specialized in human movement data.
Niels Waterval
Niels Waterval received the grant for his proposal Precision simulations to predict the individual optimal ankle foot orthosis. He will study whether the predictive, forward simulations can predict the individual, optimal orthosis settings. If he succeeds it will greatly impact orthotic-care and improve patient-outcomes.
The project is a cooperation between the Amsterdam UMC (Marjolein van der Krogt, Merel Brehm, Frans Nollet), TU Delft (Jaap Harlaar, Thomas Geijtenbeek) and OIM orthopedie (www.oim.nl).