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Abstract
While the relationship between occupational task intensity and repetitive overuse injuries have been well studied and prescription/guidelines to assess and minimize risk of such injuries well established in the general healthy population, these aspects are not well understood in individuals with disabilities. In this practice-oriented paper, we use high a resolution sensor-data driven methodology to track muscle activation patterns and joint kinematics during a common lifting task in a unilateral lower limb amputee to gain a better understanding of the risk of injury during non-optimal lifting postures. The observed data from high resolution sensors are used to recommend optimized prosthetic device tuning. Further the participant specific low back compression loads calculated using Hand-Calculation Back Compressive Force estimation model (HCBCF) and the University of Michigan 3D Static Strength Prediction Program (3DSSPP™) model is used to identify the safe zones of joint loading during the lifting task.
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