Validation of AI Models to Measure Physical Activity After a Stroke
CaRRAT
Validation and Testing of Artificial Intelligence Models to Measure Physical Activity in Patients Admitted to Hospital Following a Stroke
1 other identifier
observational
34
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jun 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 24, 2023
CompletedFirst Submitted
Initial submission to the registry
August 30, 2023
CompletedFirst Posted
Study publicly available on registry
September 11, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 24, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 24, 2024
CompletedSeptember 11, 2023
September 1, 2023
1 year
August 30, 2023
September 6, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
Sensitivity and specificity of AI models
Collected during hospitalisation (up to 12 weeks)
Interventions
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.
Eligibility Criteria
Acute and sub-acute stroke inpatients
You may qualify if:
- admitted to hospital with a diagnosis of an acute stroke.
You may not qualify if:
- unable to provide informed consent;
- receiving end-of-life care;
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Cambridge University Hospital NHS Foundation Trust
Cambridge, Cambridgeshire, CB2 0QQ, United Kingdom
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
August 30, 2023
First Posted
September 11, 2023
Study Start
June 24, 2023
Primary Completion
June 24, 2024
Study Completion
June 24, 2024
Last Updated
September 11, 2023
Record last verified: 2023-09