Robotic assay of arm reaching movements in diverse neurologic populations: Can movement features be reliable, disease-specific diagnostic biomarkers?

摘要: In this paper, we compared robotic measures of point-to-point arm reaching movements in those without impairment to with due different neurological diseases. The goal was determine if robot-derived performance metrics (robotic assay) are capable discerning movement features unique underlying pathology. Subjects and clinically defined disorders, including multiple sclerosis, Parkinson's disease, Huntington's disease cerebellar ataxia performed unassisted, visually evoked center-out (14 cm out back) using a 2 degree-of-freedom planar robot. Kinematic quality (speed, smoothness) amount (path length) were computed. Analysis showed that related speed—specifically, mean speed emerged as the strongest biomarker distinguishing between impairment. Relative time-to-first peak, also metric for speed, differentiator groups. Overall, our results provide starting point analysis functional diverse neurologic diseases establish validity these trends larger disease-specific cohorts afford comparison assay clinical scales.