PADS - Parkinsons Disease Smartwatch dataset

Parkinson's disease (PD) is the second-most common neurodegenerative disorder,
while incidence and worldwide burden are further increasing. In the era of
digital health transformation, smart devices and mobile sensors, including
smartphones and smartwatches, can provide an affordable source to capture and
analyse digital objective biomarkers. These can aid in early diagnosis and
studying phenotypical characteristics. The Parkinson's Disease Smartwatch
(PADS) dataset comprises clinical assessments of a broad spectrum of PD
patients, other similar movement disorders and healthy controls. The
assessments were recorded using a smart-device-based system consisting of two
smartwatches and one smartphone. The two smartwatches were worn on each of the
patient's wrists and their sensors synchronously recorded 11 interactive
movement tasks that were designed by expert neurologists to provoke subtle
changes in movement pathologies. In total, 5159 measurement steps of 469
individuals were captured. The PADS dataset includes all acceleration and
rotation sensor signals, as well as details on movement steps, demographics,
medical history, and PD-specific non-motor symptoms. We believe that our
extensively annotated dataset provides a well-suited data foundation for the
training, validation, and optimisation of future technology- and sensor-driven
systems for movement disorders.