Detecting Sensitive Mobility Features for Parkinson's Disease Stages Via Machine Learning

Background It is not clear how specific gait measures reflect disease severity across the disease spectrum in Parkinson's disease (PD). Objective To identify the gait and mobility measures that are most sensitive and reflective of PD motor stages and determine the optimal sensor location in each disease stage. Methods Cross‐sectional wearable‐sensor records were collected in 332 patients with PD (Hoehn and Yahr scale I−III) and 100 age‐matched...