Clinical Outcome Modelling of Rapid Dynamics in Acute Stroke
This study aims to understand how quickly people recover after a stroke by closely watching their body movements. Stroke can change very suddenly, and the disability it causes can be different for everyone. Timely and effective treatment is really important for better outcomes. The study uses a new technology called MoCat, which acts like a 'stick-figure detector.' It uses artificial intelligence to track major body joints simply and safely, without wearing any devices. Importantly, it protects your privacy by only creating a stick figure, never storing or identifying video footage. By carefully measuring changes in movement over time, researchers hope to discover patterns that can help doctors better predict how someone will recover and improve stroke care in the future.
At a glance
What is this study about?
Stroke is a serious condition that affects many people. It's currently the second most common cause of death and the main reason adults experience long-term disability in Western countries. The way a person's condition changes after a stroke can be very quick – they might get better or worse within minutes. The disability caused by a stroke can also vary a lot, from being unable to move a whole limb to having small, tricky problems with coordination.
Unlike some other brain conditions, stroke patients can really benefit from quick and carefully planned treatment. New ways of delivering care can make a big difference to how well people recover. To give the best care, doctors need to know a lot about a patient's exact condition and how it changes over time. One of the most important things to track is how a patient moves, but this has been hard to measure accurately up until now.
This study uses a clever new system called MoCat. This technology uses artificial intelligence to automatically track a patient's body movements, like drawing a stick figure of their skeleton. It can see how major joints move without needing any special sensors attached to the body, making it simple, safe, and private. It doesn't record videos that could identify people. By using MoCat, researchers can closely watch how movement changes after a stroke. This will help them understand the patterns of recovery and create tools to help doctors predict how patients might do in the future and improve stroke services.
Key takeaways
- This study uses new technology to observe how people move after a stroke.
- It aims to better predict recovery and improve stroke treatment in the future.
- The MoCat system tracks movements like a 'stick figure' without identifying you.
- Your privacy is protected, with no video footage being stored.
- Participation involves passive observation, with nothing extra for you to do.
- The findings could benefit many future stroke patients.
Who may be eligible?
To be considered for this study, you would need to have had a recent stroke. You also need to be admitted to a stroke unit in the hospital at the time of the study.
We are looking for adult participants, so you must be at least 18 years old to take part. There is no upper age limit for this study, so people of all adult ages can be considered. Both men and women are welcome to participate.
Could this study suit you?
Answer these quick questions to see if you may be eligible. This is a guide only — the research team makes the final call.
- Have I recently had a stroke?
- Am I currently receiving care on a hospital stroke unit?
- Am I 18 years old or older?
- Am I comfortable with a system passively observing my movements?
What does participation involve?
This study uses a simple, non-invasive technology called MoCat. If you participate, the MoCat system would observe your movements while you are in the stroke unit. It works by creating a 'stick figure' of your body's skeleton from afar, silently and without interfering with your care. You won't need to wear any special devices or do anything extra. There are no medications involved. The system simply records your movements as part of your normal hospital stay. The researchers will then analyse this movement data to understand stroke recovery patterns. The exact total duration of your participation would depend on your length of stay in the stroke unit and the study's observation period, but it's seamlessly integrated into your care.
Potential risks and benefits
Locations (1)
- King's College Hospital NHS Foundation TrustVerified postcodeLondon, United Kingdom· Recruiting
Common questions
What is a stroke?
A stroke happens when the blood supply to part of your brain is cut off, either due to a clot or a bleed. This causes brain cells to die, leading to problems with movement, speech, or other body functions.
What is MoCat?
MoCat is a new technology that uses artificial intelligence to track your body movements, like a 'stick-figure' diagram, without touching you or recording your identity. It helps researchers understand how you move after a stroke.
Will this study affect my privacy?
No, your privacy is protected. MoCat only extracts a 'stick figure' of your movements in real-time. It doesn't store or transmit any video footage that could identify you.
Will I have to do anything special if I join?
No, you won't need to do anything special. The MoCat system will simply observe your movements as you go about your normal routine in the stroke unit. It won't interfere with your care.
Who is running this study?
This study is being conducted by researchers aiming to improve our understanding of stroke recovery and ultimately enhance future patient care and services.
How to find out more
Lead Stroke Research Co-ordionator
Always speak to your GP or specialist before deciding to take part in a study.
Interested in taking part?
Discussion
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