Provide a comprehensive data set with associated models (scaled generic and personalized) that will enable researchers to design personalized stroke neurorehabilitation treatments.

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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