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

ConditionStroke
Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-80
SponsorSpaulding Rehabilitation Hospital

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.

Eligibility criteria

Qualifiers

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

Disqualifiers

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

Trial design

Treatments tested in this trial

  • BURT
  • BURT + PostureCheck

Treatment groups

42 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Spaulding Rehabilitation Hospital

Lead sponsor

Barrett Technology

Collaborator