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Objectives To (1) determine whether acceleration metrics derived from monitoring outside of treatment are responsive to change in upper extremity (UE) function; and secondarily to (2) compare metric values during task-specific training and wh[...]Article
Objective To determine the accuracy of an algorithm, using clinical measures only, on a sample of persons with first-ever stroke in the United States (US). It was hypothesized that algorithm accuracy would fall in a range of 70%-80%. Design [...]Article
Objective To compare self-reported with sensor-measured upper limb (UL) performance in daily life for individuals with chronic (≥6mo) UL paresis poststroke. Design Secondary analysis of participants enrolled in a phase II randomized, par[...]Article
Objective To examine change and individual trajectories for balance, upper extremity motor capacity, and mobility in people poststroke during the time they received outpatient therapies. Design Retrospective analyses of an observational cohort[...]Article
Knowledge of upper limb activity in the natural environment is critical for evaluating the effectiveness of rehabilitation services. Wearable sensors allow efficient collection of these data and have the potential to be less burdensome than self[...]
