Prediction of individual progression rate in Parkinson’s disease using clinical measures and biomechanical measures of gait and postural stability

January 28, 2022October 18, 2021 by ERT_Admin

Publication Year: 2019

Journal: Electrical Engineering and Systems Science

Author(s): Raval; Nguyen; Gerald; Dewey; Montillo

Source: 10.1109/ICASSP40776.2020.9054666

Indication: Parkinson’s Disease

Therapeutic Area: Central Nervous System

Keywords: Prognosis; Machine Learning; Inertial Motion Sensors; Progression Rate

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