Article

This article presents the principles of an adaptive mixed reality rehabilitation
(AMRR) system, as well as the training process and results from 2 stroke
survivors who received AMRR therapy, to illustrate how the system can be used in
the clinic. The AMRR system integrates traditional rehabilitation practices with
state-of-the-art computational and motion capture technologies to create an
engaging environment to train reaching movements. The system provides real-time,
intuitive, and integrated audio and visual feedback (based on detailed kinematic
data) representative of goal accomplishment, activity performance, and body
function during a reaching task. The AMRR system also provides a quantitative
kinematic evaluation that measures the deviation of the stroke survivor's
movement from an idealized, unimpaired movement. The therapist, using the
quantitative measure and knowledge and observations, can adapt the feedback and
physical environment of the AMRR system throughout therapy to address each
participant's individual impairments and progress. Individualized training plans,
kinematic improvements measured over the entire therapy period, and the changes
in relevant clinical scales and kinematic movement attributes before and after
the month-long therapy are presented for 2 participants. The substantial
improvements made by both participants after AMRR therapy demonstrate that this
system has the potential to considerably enhance the recovery of stroke survivors
with varying impairments for both kinematic improvements and functional ability.

Langue : ANGLAIS