PostureCheck: A Vision-based Compensatory-posture-detection Tool to Enhance Performance of the BURT Upper-extremity Stroke-therapy
The overall objective of this study is to assess whether robot-assisted upper-limb group rehabilitation can be effectively delivered by using a camera-based system equipped with machine learning algorithms to track the quality of the exercise performance and provide feedback accordingly. To address this question, we plan to carry out a randomized clinical trial to compare outcomes in subjects receiving robot-assisted upper-limb rehabilitation during individual (i.e., one-on-one) sessions and in subjects receiving robot-assisted upper-limb rehabilitation during group (i.e., up to three subjects) sessions.
• Have had a history of ischemic cerebrovascular accident (CVA) within middle cerebral artery (MCA) or anterior cerebral artery (ACA) territory
• CVA occurred between six months and six years ago
• Moderate to severe UE impairment, FMA-UE score between 15 and 45
• Mini-Mental State Examination (MMSE) score \>23 and being able to safely follow three-step commands