D3.1 / First report on digital biomarkers for PD

AI-PROGNOSIS aims to develop a system of digital biomarkers for Parkinson’s disease (PD) monitoring and for informing predictive models of disease risk and prognosis. Deliverable D3.1 reports on the development of the first version of digital biomarkers (dBMs) for tracking PD symptoms and risk factors. The focus is placed on motor and non-motor symptoms, including rest tremor, slowness of movement (bradykinesia), dyskinesias, REM Behaviour Disorder (RBD), daytime somnolence, overall physical activity, gross motor function, and cognitive function, using data from wearables, smartphone interaction, and digital active tests.