Development of a serious game for support with writing difficulties Project state closed Project start February 2022 Funding duration 12 months Universities involved ZHAW, ZHdK, PHZH Practice partners Funding amount DIZH CHF 39'000 https://youtu.be/PJVoi11LMw4?si=XELW3HFIoTPHTwur With a prevalence of 10-30%, writing difficulties are one of the most common learning disorders among… Read More »Playfully train writing motor skills
Project state closed Project start January 2022 Funding duration 14 months Universities involved UZH Practice partners Universitätsspital Zürich SIB Swiss Institute of Bioinformatics Funding amount DIZH CHF 79'000 Approximately 30% of COVID-19 patients do not recover and develop long-term symptoms (Long COVID). Based on serum immunoglobulin measurements, a prediction score… Read More »Computational prediction of long COVID in the Canton of Zurich
Enhancing Brain Angiograms for Personalized Stroke Management The architecture of the supplying brain blood vessels impacts the occurrence and severity of stroke. DeepBVP will extract the Circle of Willis from MRA, automatically annotate vessel segments and characterize them morphologically and topologically. We employ deep learning methods with a solid knowledge… Read More »Deep Brain Vessel Profiler
Digital support for caregivers Project state closed Project start September 2021 Funding duration 28 months Universities involved ZHAW, ZHdK Practice partners We+Tech, Pro Aidants Funding amount DIZH CHF 223'000 There is an enormous amount of knowledge available for relatives of people with dementia. So much, in fact, that it’s easy… Read More »You+Care
Design and Evaluation of a Digital Exergame-Based Solution for Effective and Attractive Sports Rehabilitation Project state closed Project start November 2021 Funding duration 24 months Universities involved ZHAW, ZHdK Practice partners Sphery AG Funding amount DIZH CHF 202'000 https://vimeo.com/832178081 After a knee injury, only 65% of athletes return to the… Read More »ExerCube
Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams We develop and validate a camera-based compensation classifier (“3C”) for tele-neurorehabilitation to discriminate normal arm-movements from those with compensation. The algorithm can be used with a webcam alone or in combination with inertial measurement unit (IMU). This… Read More »Tele-Assessment