Adaptive Mixed Reality Rehabilitation: Extending interactive upper extremity stroke rehabilitation from the clinic to the home
Mixed reality stroke rehabilitation systems provide computational evaluation and multimedia feedback for the upper limb rehabilitation of stroke survivors. The Adaptive Mixed Reality Rehabilitation system (AMRR) tracks a stroke survivor’s movements using motion capture technology and computationally evaluates his or her performance of reach to touch and reach to grasp tasks. The resulting data are used to generate interactive media-based feedback that communicate to the participant detailed, intuitive evaluations of his or her reaching performance in real time. Feedback and physical task components can be adapted by the physical therapist to both accommodate and challenge the participant through physical therapy. AMRR is currently being evaluated in use by clinicians in a comparison study with traditional methods for physical therapy. Preliminary results support AMRR’s ability to train stroke survivors of various impairment levels. The evaluation and feedback frameworks established within AMRR are being applied to a home-based system, to provide an engaging and low-cost extension for rehabilitation over longer periods of time. The Home-Based Adaptive Mixed Reality Rehabilitation system (HAMRR) analyzes endpoint movement of the affected arm within reach to press, reach to grasp, and reach to transport tasks, while providing feedback during a task, after a task, and following sets of multiple tasks. HAMRR utilizes a narrative-based feedback design to support and engage participant self-assessment. An adaptation framework allows the therapist to set task and feedback configurations to facilitate weekly therapy goals. HAMRR will be piloted with stroke survivors this summer.
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