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To estimate current prevalence of amputees in the center-based catchment area of the RIC. Sufficient data will be collected that will characterize amputees in the Chicago area with respect to demographic and clinical features, e.g., etiology, laterality, post-amputation pain, use of assistive devices.
To use EMG-pattern-recognition algorithms to augment onboard mechanical sensor data to create an intuitive, robust, and safe overall control strategy for a powered lower limb prosthesis.
To test the ability to control new prosthetic components, such as shoulders, elbows, wrist and hands and to test the function of these new components.
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