Validation of AI Models to Measure Physical Activity After a Stroke (CaRRAT)
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ClinicalTrials.gov Identifier: NCT06030323 |
Recruitment Status :
Recruiting
First Posted : September 11, 2023
Last Update Posted : September 11, 2023
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The research team are developing algorithms using artificial intelligence that use information collected by accelerometers to detect a person's position, such as whether an individual is lying, sitting, or standing, and the individual's movements, such as whether they are taking steps or standing up.
Sensor location will affect the accuracy of the model and acceptability of the method. The research team are therefore developing algorithms for four different locations.
The purpose of the research is for the development of the algorithms and check whether they accurately recognise different positions and movements in people whose movement is affected by a stroke, and by being in a hospital environment (e.g. using a profiling bed).
The research team plan to recruit between 34 and 50 participants who are admitted hospital due to having a stroke. After providing informed consent, participants will be asked to complete a one-off assessment with a member of the research team and a ward physiotherapist. Participants will be asked to wear the four sensors, and move through a series of postures, walk for up to six minutes, and stand as many times as they feel able in one minute.
Condition or disease | Intervention/treatment |
---|---|
Stroke | Other: No intervention |
Study Type : | Observational |
Estimated Enrollment : | 34 participants |
Observational Model: | Cohort |
Time Perspective: | Prospective |
Official Title: | Validation and Testing of Artificial Intelligence Models to Measure Physical Activity in Patients Admitted to Hospital Following a Stroke |
Actual Study Start Date : | June 24, 2023 |
Estimated Primary Completion Date : | June 24, 2024 |
Estimated Study Completion Date : | June 24, 2024 |
- Other: No intervention
This is not an interventional study. The study is classified as 'pre-clinical device development or performance testing'. The purpose of the study is to develop and validate the AI models using data collected from people affected by stroke in a hospital environment, to test the accuracy of the optimised models, and to ascertain patient preference for sensor location.
- Sensitivity and specificity of AI models [ Time Frame: Collected during hospitalisation (up to 12 weeks) ]
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Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | No |
Sampling Method: | Non-Probability Sample |
Inclusion Criteria:
- admitted to hospital with a diagnosis of an acute stroke.
Exclusion Criteria:
- unable to provide informed consent;
- receiving end-of-life care;
- the consultant in charge of their care disagrees with their inclusion
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT06030323
Contact: Peter Hartley, PhD | 441223596317 | peter.hartley@nhs.net |
United Kingdom | |
Cambridge University Hospital NHS Foundation Trust | Recruiting |
Cambridge, Cambridgeshire, United Kingdom, CB2 0QQ | |
Contact: Peter Hartley, PhD 01223 596317 peter.hartley@nhs.net |
Responsible Party: | Peter Hartley, Principal Investigator, Cambridge University Hospitals NHS Foundation Trust |
ClinicalTrials.gov Identifier: | NCT06030323 |
Other Study ID Numbers: |
A096458 |
First Posted: | September 11, 2023 Key Record Dates |
Last Update Posted: | September 11, 2023 |
Last Verified: | September 2023 |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |
Stroke Cerebrovascular Disorders Brain Diseases Central Nervous System Diseases |
Nervous System Diseases Vascular Diseases Cardiovascular Diseases |