PostureCheck: A Vision-based Compensatory-posture-detection Tool for Robot-assisted Upper-limb Therapy
PostureCheck: A Vision-based Compensatory-posture-detection Tool to Enhance Performance of the BURT Upper-extremity Stroke-therapy
About This Trial
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.
Who May Be Eligible (Plain English)
Original Eligibility Criteria
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Treatments Being Tested
BURT
Robot-assisted upper-limb individual (i.e. one-on-one) rehabilitation will be delivered using the BURT system by Barrett Technology
BURT + PostureCheck
Robot-assisted upper-limb group (i.e. up to three subjects) rehabilitation will be delivered using the BURT system by Barrett Technology + PostureChek (a camera-based system to track the quality of the exercises)