Despite the uniqueness of each patient, in the stroke rehabilitation field treatment design for movement impairments has not progressed substantially beyond off-the-shelf interventions selected based on subjective clinical judgement. If affected individuals are to recover the most function possible, a paradigm shift is needed toward personalized interventions designed using objective evidence-based methods. This project provides the biomechanics community with a unique and comprehensive data set to design personalized stroke neurorehabilitation treatments. This data set includes motion capture, ground reaction, and EMG collected from subjects post-stroke in addition to associated scaled generic and personalized OpenSim models.

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