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Digital Technology-Informed Stroke Rehabilitation

This study is looking at how digital technology can help people improve their movement after a stroke. Researchers want to see if using computer-generated guidance, either in a lab or at home, helps people perform daily activities better. You would receive guidance on how to move more efficiently. The study aims to compare how well lab-based technology works versus home-based technology. They will measure how much your movement quality improves over three weeks. To join, you need to be between 30 and 85 years old, have had a stroke at least six months ago, and have mild to moderate arm weakness. The study is currently unclear on its recruitment status.

Study design
This is a randomized, controlled feasibility study with 60 participants. Participants will be assigned to one of two groups: lab-based or home-based digital technology guidance.
What's involved
You would participate in training sessions multiple days a week for up to 6 weeks. Both groups will visit the lab weekly for movement assessments.
Compensation
Not stated in the trial record.
Follow-up
Movement quality will be measured from enrollment to the end of treatment at 3 weeks.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07698522

Digital Technology-Informed Stroke Rehabilitation

Recruiting
NAAges 30–85InterventionalTreatment
University of Utah
~60 participants
Updated 2026-07-20 on ClinicalTrials.gov
What's tested:Lab-based movement guidanceHome-based movement guidance

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Kinematic movement quality score
Measured over From enrollment to the end of treatment at 3 weeks.

Conditions

Stroke

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Where you'd take part

This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • Kennecott Mechanical Engineering Building

    Salt Lake City, Utahno site contact published

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

Study leadership

  • Scott Uhlrich, PhD · PRINCIPAL_INVESTIGATOR · University of Utah

Who to contact

Samantha McNeill
[email protected]
(385) 215-9146‬
Email the study team

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Eligibility criteria

Inclusion

Age between 30-85 years.
Diagnosis of stroke.
Stroke onset of at least six months prior to the time of participation.
Fugl Meyer Upper Extremity between 30-50 (mild-moderate)
Cognitive skills to consent and actively participate, as indicated by scores of ≥ 24 on the Mini- Mental Status Examination
Able to visit lab up to 5x per week for 3 weeks

Exclusion

Presence of severe aphasia preventing the ability to follow 1-step directions at least 80% of the time.
Excessive spasticity of the wrist, elbow, and shoulder, defined as a Modified Ashworth Score \>2.
Diagnosis of neurological disorders other than stroke.
Orthopedic/musculoskeletal conditions (e.g., severe arthritis) affecting the upper extremity.
Currently or planning to become pregnant.
Participation in concurrent occupational therapy.
Unilateral neglect, defined as failure of the Line Bisection Task
Upper extremity pain \>= 7/10 on Numeric Rating Scale

What this trial measures

  • Kinematic movement quality scoreFrom enrollment to the end of treatment at 3 weeks.

    A score based on subject kinematics during a daily task (like reaching), comparing the subject's reaching kinematics to normative kinematics.