A working model of stroke recovery from rehabilitation robotics practitioners.
We reviewed some of our initial insights about the process of upper-limb behavioral recovery following stroke. Evidence to date indicates that intensity, task specificity, active engagement, and focusing training on motor coordination are key factors enabling efficacious recovery. On modeling, experience with over 400 stroke patients has suggested a working model of recovery similar to implicit motor learning. Ultimately, we plan to apply these insights in the development of customized training paradigms to enhance recovery.
Krebs
Hermano Igo
HI
Mechanical Engineering Department, Massachusetts Institute of Technology, Cambridge, MA, USA. hikrebs@mit.edu
Volpe
Bruce
B
Hogan
Neville
N
D006801:Humans; D020244:Infarction, Middle Cerebral Artery / Q000503:physiopathology / Q000534:rehabilitation; D007858:Learning; D008954:Models, Biological; D011597:Psychomotor Performance; D020127:Recovery of Function; D012371:Robotics / Q000379:methods*; D012720:Severity of Illness Index; D020521:Stroke / Q000503:physiopathology; D000071939:Stroke Rehabilitation; D016896:Treatment Outcome