EMG-Directed Virtual-Reality Training for Motor Stroke Rehabilitation
NCT07705256 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 24
Last updated 2026-08-18
Summary
This study is testing whether rehabilitation using muscle activity signals can help improve arm and hand movement in people after stroke or spinal cord injury.
In the main study, participants will use a virtual-reality feedback system that is controlled by surface electromyography (EMG). Surface EMG uses sensors placed on the skin to detect muscle activity. The feedback will help participants practise upper limb movements during rehabilitation.
A related sub-study will run alongside the main study. In this sub-study, functional electrical stimulation will also be used to help activate muscles during training.
The study will assess whether these rehabilitation approaches improve upper limb function. It will also explore whether changes in biological or movement-related markers are linked with recovery.
Conditions
- Stroke
- Spinal Cord Injuries (Complete and Incomplete)
Interventions
- DEVICE
-
Visual EMG feedback with vibrotactile feedback
Surface EMG sensors detect muscle activity and provide visual feedback. The device also delivers vibrotactile/haptic feedback in the form of vibrations during attempted upper limb movements.
- DEVICE
-
Visual EMG feedback
The intervention consists of visual EMG feedback through a wearable EMG-based device during attempted upper limb movements. Surface EMG sensors detect muscle activity and provide visual feedback.
Sponsors & Collaborators
-
Imperial College London
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-07-27
- Primary Completion
- 2027-05-27
- Completion
- 2027-11-27
Countries
- United Kingdom
Study Locations
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