The proposed study is a single-blinded randomized clinical trial to evaluate the effect of using the PostureCheck (a camera-based system equipped with machine learning algorithms to track the quality of the exercise performance) on motor gains in group and individual robot-assisted upper-limb. Study participants (stroke survivors) will be recruited at the Spaulding Rehabilitation Hospital - Boston. Subjects will be randomly assigned to one of the two different groups: individual- or group-therapy using a covariate-adaptive allocation procedure to ensure important covariates, such as baseline Fugl-Meyer Assessment of the Upper Extremity (FMA-UE) scores and proprioceptive deficits, are balanced between groups.
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.