Robot-assisted training for improving upper limb function after stroke
Official title: Motor-Cognitive Interactive Upper Limb Rehabilitation Robot Intervention for Post-Stroke Motor Dysfunction: A Multicenter Randomized Controlled Study
Run by Fujian University of Traditional Chinese Medicine · NCT06876597 · Data updated 2026-11-12
This study tests whether robot-assisted training that combines movement and thinking exercises can help people recover better use of their arms after a stroke compared to other types of therapy.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 40 Years to 80 Years |
| Sex | All |
| Enrollment | 1047 (estimated) |
| Sponsor | Fujian University of Traditional Chinese Medicine Academic / other |
| Locations | 1 site (Fuzhou) |
| Status | Recruiting |
| Started | April 8, 2025 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | April 24, 2025 |
| Trial ID | NCT06876597 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 40 to 80 who have experienced their first stroke with unilateral limb paralysis within the last 2 to 6 months.
✕Probably not a fit
Patients with severe comorbid conditions, significant balance issues, or severe depressive symptoms 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 investigates the effects of motor-cognitive interactive robot-assisted training on upper limb motor dysfunction following a stroke. Participants will be randomly assigned to one of three groups: motor-cognitive interactive training, motor-focused training, or conventional rehabilitation. The training sessions will last 60 minutes, five times a week for four weeks, with researchers measuring changes in upper limb function and monitoring for adverse events. The study aims to optimize rehabilitation protocols by clarifying the relationship between motor and cognitive training components.
Why it matters
Potential benefit: If successful, this approach could significantly enhance recovery of upper limb function in stroke patients.
How similar studies have gone: Other studies have shown promise in using robotic assistance for rehabilitation, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Diagnosis of stroke confirmed by CT or MRI. 2. Age between 40 and 80 years, with no gender restrictions. 3. First-ever stroke with unilateral limb paralysis. 4. Onset of stroke between 2 weeks and 6 months prior, with an FMA-UE score of 8-44. 5. Willingness to participate and provide written informed consent. Exclusion Criteria: 1. History of neuromuscular diseases, malignant tumors, or other severe uncontrolled conditions, including cardiac, renal, or hepatic diseases. 2. Seated balance score \< 2, or inability to maintain a sitting position for more than 60 minutes. 3. Modified Ashworth Scale score \> 2. 4. Visual Analog Scale (VAS) score \> 3 for hemiplegic shoulder pain. 5. Boston Diagnostic Aphasia Examination score \< 3. 6. Severe visual impairment preventing participation in upper limb robot-assisted rehabilitation training. 7. Hamilton Depression Scale score \>17, indicating moderate to severe depressive symptoms. 8. Participation in other clinical trials that may interfere with the results of this study.
Where it's running
-
Fujian University of Traditional Chinese Medicine
Fuzhou, China Recruiting
Study contacts
- Study coordinator: Jingsong Wu
- Email: jingsongwu01@163.com
- Phone: 86+13609501214
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
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.
-
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.
-
Dual-task balance training plus computer-based cognitive training after stroke
In adults who recently had a stroke, the study tests whether adding computerized cognitive exercises to balance training improves balance and other recovery outcomes.
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.