NCT04851886 PostureCheck: A Vision-based Compensatory-posture-detection Tool for Robot-assisted Upper-limb Therapy

Trial Parameters

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Brief Summary

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.

Eligibility Criteria

Inclusion Criteria: * 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 Exclusion Criteria: * Advanced musculoskeletal pathology or recent fractures in the impaired UE * Previous diagnosis of neurological diseases other than stroke * Severe limitation of passive range of motion or spasticity (Modified Ashworth Scale for spasticity at \<3 for UE muscles) * Hemorrhagic CVA or involvement of the posterior cerebral artery * Aphasia sufficient to limit ability to express needs or discomfort verbally or non-verbally * Impaired visual acuity (Severe visual impairments as assessed by the NIH Stroke Scale Visual Field subscale. (score \>0)) * Severe hemispatial neglect as assessed by the

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