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To evaluate visuo-motor functioning following concussion. In this study participants will move a handle connected to a computer controlled robot and perform tasks in a virtual reality similar to a video game.
Examining robot-aided walking performance using newer, advanced robotic technology. This knowledge is expected to assist the development of rehabilitation programs that could improve walking outcomes in individuals who have had a stroke and help them become independent ambulators.
To improve the efficacy of BWSTT in children with cerebral palsy (CP) using a novel robotic therapy that applies controlled force to the leg during the swing phase of gait.
To examine the effects of different training paradigms on motor learning.
To determine how individuals following stroke regain walking ability with goal-directed, robotic-assisted and therapist-assisted body weight supported gait retraining.
To investigate motor learning and how it plays a role in the way people control their movements. This study will help us understand how the nervous system learns to control its movements in new environments.
Characterizing the perceptual and motor deficits associated with neglect following stroke using a virtual reality system similar to a video game.
To enhance walking function in people with stroke by applying controlled loads to the affected leg using a novel cable robot during BWSTT in order to augment motor adaptation and enhance training.
How robots and virtual reality can be used as rehabilitation tools. Participants will move a handle connected to a computer-controlled robot and perform tasks in a virtual reality system similar to a video game.
Compare walking outcomes resulting from gait and balance training with standard physical therapist interaction versus training with the addition of a KineAssist.
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