Shape-based PCA on wearable sensor trajectories from 41 children identifies kinematic patterns that, when combined via PLS, yield a motor function index correlating r=0.78 with muscle fat infiltration, Brooke score, and age.
Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple- instance learning
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A Shape-Based Functional Index for Objective Assessment of Pediatric Motor Function
Shape-based PCA on wearable sensor trajectories from 41 children identifies kinematic patterns that, when combined via PLS, yield a motor function index correlating r=0.78 with muscle fat infiltration, Brooke score, and age.