  Sensors from smart consumer devices have demonstrated high potential to serve
as digital biomarkers in the identification of movement disorders in recent
years. With the usage of broadly available smartwatches we have recorded
participants performing technology-based assessments in a prospective study to
research Parkinson's Disease (PD). In total, 504 participants, including PD
patients, differential diagnoses (DD) and healthy controls (HC), were captured
with a comprehensive system utilizing two smartwatches and two smartphones. To
the best of our knowledge, this study provided the largest PD sample size of
two-hand synchronous smartwatch measurements. To establish a future easy-to use
home-based assessment system in PD screening, we systematically evaluated the
performance of the system based on a significantly reduced set of assessments
with only one-sided measures and assessed, whether we can maintain
classification accuracy.
