A machine learning approach to targeted balance rehabilitation in people with Parkinson’s disease using a sparse sensor set

Clinical balance assessments often rely on functional tasks as a proxy for balance (e.g., Timed lip and Go). In contrast, analyses of balance in research settings incorporate quantitative biomechanical measurements (e.g., whole-body angular momentum, H) using motion capture techniques. Fully instrumenting patients in the clinic is not feasible, and thus it is desirable to estimate biomechanical quantities related to balance from measurements...