Article

Task-oriented training is emerging as the dominant and most effective approach to
motor rehabilitation of upper extremity function after stroke. Here, the authors
propose that the task-oriented training framework provides an evidence-based
blueprint for the design of task-oriented robots for the rehabilitation of upper
extremity function in the form of three design principles: skill acquisition of
functional tasks, active participation training, and individualized adaptive
training. The previous robotic systems that incorporate elements of task-oriented
trainings are then reviewed. Finally, the authors critically analyze their own
attempt to design and test the feasibility of a TOR robot, ADAPT (Adaptive and
Automatic Presentation of Tasks), which incorporates the three design principles.
Because of its task-oriented training-based design, ADAPT departs from most other
current rehabilitation robotic systems: it presents realistic functional tasks in
which the task goal is constantly adapted, so that the individual actively
performs doable but challenging tasks without physical assistance. To maximize
efficacy for a large clinical population, the authors propose that future
task-oriented robots need to incorporate yet-to-be developed adaptive task
presentation algorithms that emphasize acquisition of fine motor coordination
skills while minimizing compensatory movements.

Langue : ANGLAIS