Hand robotics plus mental imagery for chronic stroke recovery
Official title: Effects of Mental Imagery Training Combined With Task Oriented Training by EMG-Driven Soft Robotic Hand Stroke in Stroke
Run by Riphah International University · NCT07629011 · Data updated 2026-11-12
This trial tests whether adding mental imagery training to robotic hand therapy can improve upper limb function in people who are in the chronic stage after stroke.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 70 Years |
| Sex | All |
| Enrollment | 40 (estimated) |
| Sponsor | Riphah International University Academic / other |
| Locations | 1 site (Rawalpindi, Punjab Province) |
| Status | Recruiting |
| Started | April 1, 2026 |
| Main results expected | October 30, 2026 |
| Study ends | November 30, 2026 |
| Registry record updated | June 5, 2026 |
| Trial ID | NCT07629011 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18-70 with chronic unilateral stroke (at least 6 months since onset) and residual hand motor signals suitable for EMG-driven training.
✕Probably not a fit
Individuals with severe communication difficulties, additional neurological or psychiatric conditions, or insufficient cognitive or muscle function may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This randomized trial compares robotic hand training alone to robotic hand training combined with mental imagery for adults with chronic unilateral stroke. Participants will use an EMG-driven soft robotic hand to perform task-oriented exercises, with or without guided mental imagery. The study aims to measure changes in upper limb motor function and coordination, reflecting real-world hand use. It is conducted at a single center in Rawalpindi under a lead sponsor with no listed collaborators.
Why it matters
Potential benefit: If successful, participants may experience improved hand function and greater ability to perform daily activities after stroke.
How similar studies have gone: Existing rehabilitation studies suggest robotic and imagery-based approaches can help motor recovery, but results vary and new combinations require confirmation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Participants clinically diagnosed with stroke in chronic stage (6 months after the onset of stroke) with a pure unilateral motor paresis after stroke. * 18-70 years of age. * Sufficient cognition to follow simple instructions and understand the content and purpose of study (MMSE score 28) * Able to sit up for at least 45 minutes. * Detectable residual signals from the affected side's Flexor digitorum (FD) and Extensor Digitorum (ED) muscles. * Modified Ashworth Scale (MAS) score of finger extensor less than or to 3 * Ability to provide informed consent Exclusion Criteria: * Patients with severe dysphasia with inadequate communication. * Any additional medical or psychological condition affecting their ability to comply with the study protocol. * History of other neurological disease or psychiatric disorders, including alcoholism and substance abuse
Where it's running
-
Railway General Hospital
Rawalpindi, Punjab Province, Pakistan Recruiting
Study contacts
- Principal investigator: Ayesha Umer, MS-NMPT* — Riphah International Unversity
- Study coordinator: Arshad Nawaz Malik, PhD Rehab
- Email: arshad.nawaz@riphah.edu.pk
- Phone: 03334503754
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.