| Robotic therapy has been shown to increase the range of motion, strength, and velocity of arm movements in chronic stroke patients. Robotic therapy may improve the condition of such patients because it focuses on intensive, repetitive movements, which have been shown to counteract the detrimental effects of a habitual decrease in movement.
We have constructed a robotic environment to combine the repetitive movements of robotic therapy with visual feedback distortion. When an individual performs a task repeatedly, his or her performance on a given attempt is predicted largely by the previous performance. If feedback received by the individual is distorted so that the level of performance appears less than the level previously achieved, the individual will improve performance until the feedback indicates that the previous performance level has been reached. We plan to extend the use of feedback distortion to continuous, progressive distortion during rehabilitation activities with patients with chronic stroke, traumatic brain injury (TBI), and other neurological trauma. Feedback distortion may be particularly useful for these chronic patients because an extended period with little or no improvement may discourage a patient from attempting tasks beyond his or her usual level of function. A robotic environment is appropriate for this research since it allows systematic distortion of the visual feedback relative to the interaction with the robot. We currently focus on small movements of the hand and fingers, but our hypothesis generalizes to other rehabilitation activities. |
