Abstract
Robotic instruments allow precise measurements and interventions to understand and treat human motor deficits. These same tools may be used to design model-based and patient-specific robotic assistance and rehabilitation paradigms. This approach could lead to an increased understanding of the brain and improved patient outcomes. We illustrate this paradigm with two studies in which generic and patient-specific models are used to provide reaching assistance with a robotic exoskeleton, the KINARM. These studies involve patients with cerebellar ataxia who make reaching movements that are irregularly curved, over- or undershoot targets, and are more variable than those of healthy people. Two assistive methods are explored. In the first, a patient-specific change in arm dynamics predicted to assist each patient is utilized. The results suggest this approach may improve the reaching of some cerebellar patients and not for others. The second method employs force channels, which improved reaching movements for all patients. However, neither method showed evidence of motor learning; i.e. there was no maintenance of improved movement after the assistive forces were removed.
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Grow, D.I., Bastian, A.J., Okamura, A.M. (2014). Robotic Assistance for Cerebellar Reaching. In: Artemiadis, P. (eds) Neuro-Robotics. Trends in Augmentation of Human Performance, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8932-5_12
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DOI: https://doi.org/10.1007/978-94-017-8932-5_12
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