Testing a phone app that measures arm movement after stroke
Tests a phone app that records arm movement in stroke survivors.
Plain-language title generated from the registry record
Registry title: Monitoring Arm Recovery After Stroke (MARS)
Key facts
- Where
- London, United KingdomSee the site
Where in United Kingdom
- Centre for Human and Applied Physiological SciencesLondon, United KingdomTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- King's College London
- Trial code
- NCT07016295
- Record updated
- 11 August 2025
- Original description
People who have a stroke often find it hard to do the things they did before. This can be caused by problems with arm movement. One in five people do not get any arm movement back after a stroke.Read full original descriptionShow less
Developing an Accessible, Cost-Effective Motion Analysis Tool for Arm Movement After Stroke
People who have a stroke often find it hard to do the things they did before. This can be caused by problems with arm movement. One in five people do not get any arm movement back after a stroke.
Arm movements can be measured accurately in a laboratory, but it is very expensive and not easy to do in hospital. That means it is hard to tell if the arm is recovering to move like it did before the stroke or adapting to perform tasks in other ways.
To tell if a treatment is working, the investigators are making a phone app to record arm movement, using the camera. The recordings will be turned into data showing movement difficulties and sent to hospital records for clinicians. Clinicians will see if movement changes, to help choose the best treatment.
The investigators are looking for twelve stroke survivors to help test this app.
* The session will be at King's College London, on Guy's Campus. * It will run for 2-3 hours. * Participants will wear a vest or tight-fitting clothes. * The investigators will place non-invasive markers on the participants arm. * The investigators will video simple movements such as drinking from a cup. * The investigators will also measure the same simple movements using the laboratory cameras.
This will show us if our app can measure arm movement as well as laboratory tests. If they do, the investigators will know the app is accurate.
In future this technology can improve recovery by correcting stroke survivors when they perform home exercises.
Inclusion: History of stroke; Arm impairment evidenced by Fugl-Meyer Upper Limb Assessment between 9-60/66.
Exclusion: Severe cognitive impairment preventing ability to consent to treatment and understand and follow research protocol; Severe language deficit preventing ability to consent to treatment and understand and follow research protocol; Shoulder pain >3/10 on visual analog scale; Unable to maintain independent sitting balance without a high back support; Wheelchair users that are unable to transfer with assistance of 1 to lab chair or whose wheelchair backrest cannot colapse.
Stroke survivors.