Evaluating a robotic device for helping stroke survivors with arm movement
Official title: Assisting Stroke Survivors With Engineering Technology (ASSET): Design Project D3: Exoskeletal Networks for Forearm Supination
Run by Shirley Ryan AbilityLab · NCT06655636 · Data updated 2026-11-12
This study is testing a robotic device that helps stroke survivors move their arms better to see if it can improve their recovery and daily activities.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years to 70 Years |
| Sex | All |
| Enrollment | 30 (estimated) |
| Sponsor | Shirley Ryan AbilityLab Academic / other |
| Locations | 1 site (Chicago, Illinois) |
| Status | Recruiting |
| Started | December 4, 2024 |
| Main results expected | December 2025 |
| Study ends | December 2025 |
| Registry record updated | January 9, 2025 |
| Trial ID | NCT06655636 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 40-70 who have experienced a single, unilateral stroke at least 8 months prior and have moderate to severe upper extremity impairment.
✕Probably not a fit
Patients with bilateral paresis, multiple stroke events, or significant cognitive impairments may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to assess the safety, feasibility, and effectiveness of the forearm ExoNET, a passive robotic device designed to assist with forearm supination in individuals who have experienced a stroke. Participants will wear the ExoNET while performing daily activities that require forearm movement, and their muscle activity and range of motion will be monitored using advanced sensors. The study seeks to determine if the device can enhance motor learning and improve rehabilitation outcomes for stroke survivors with upper extremity impairments.
Why it matters
Potential benefit: If successful, this device could significantly improve the rehabilitation process and functional recovery for stroke survivors with upper extremity movement difficulties.
How similar studies have gone: While the approach of using passive robotic devices for rehabilitation is gaining traction, this specific application of the ExoNET is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria:
1. Between the ages of 40-70 (to reduce confounding effects of aging on muscle, movement accuracy and proprioception)
2. Have sustained a single, unilateral stroke at least 8 months prior to enrollment
3. Severe to moderate upper extremity impairment (ARAT score 0-30)
4. Ability to move their elbow and wrist when supported against gravity
5. Cortical stroke with hemiparesis, tactile sensation
6. Available medical records about lesion locations indicating the stroke was caused by a middle cerebral artery ischemic infarct
Exclusion Criteria:
1. Bilateral paresis
2. Diffuse/multiple lesion sites or multiple stroke events
3. Hemispatial neglect or visual field cut that prevent visual feedback
4. Shoulder pain and/or articular rigidity on the upper limb joint
5. Severe sensory deficits indicated by the Two-Point Discrimination Test
6. Botox injection to the affected upper extremity within the previous 4 months
7. Aphasia, cognitive impairment, or affective dysfunction that would influence the ability to consent, perform the experiment, or follow commands
8. Concurrent participation in upper extremity rehabilitation either as part of a research intervention protocol or a prescribed therapy
9. Other neurological issues
10. Meet any of the contraindications to Delsys Trigno Sensors:
* Implanted with electronic devices of any kind, including cardiac pace-makers or similar assistive devices, electronic induction pumps, and implanted stimulators
* Irritated skin or open wounds
* Silver allergy
Where it's running
-
Shirley Ryan AbilityLab
Chicago, Illinois, United States Recruiting
Study contacts
- Study coordinator: Valentino I Wilson
- Email: viwilso2@uic.edu
- Phone: 630-398-2355
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
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Deep phenotyping to explore recovery in young adults after stroke
This project will test whether a detailed health and sample-collection approach (deep phenotyping) is practical and acceptable for people aged 18–55 who have had a stroke.
-
Stem cell therapy for chronic stroke recovery
This study is testing whether using a patient's own stem cells can help people with long-term stroke recovery feel better and improve their daily functioning.
-
Registry connecting stroke survivors with research opportunities
This study connects stroke survivors with research opportunities to help find new treatments that can improve their recovery.
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AI-based tools to help diagnose, treat and predict stroke outcomes across multiple hospitals
This study tests AI-powered tools on real-world stroke patients to see if they can improve pre-hospital triage, diagnosis, and outcome prediction while data stay securely within each hospital.
-
Web-based therapy using action observation and mirror therapy for arm weakness after stroke
This trial tests whether a mobile telerehabilitation app delivering action observation therapy (AOT) alone or combined AOT with mirror therapy (AOT-MT) can improve upper limb function in people with subacute stroke.
-
Remote Ischaemic Conditioning for Fatigue After Stroke 2
Aat least 12 weeks after stroke, adults with post-stroke fatigue will try a simple hand-arm cuff treatment at home to see if it helps reduce fatigue.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.