Validation of AI Models to Measure Physical Activity After a Stroke

NCT ID: NCT06030323

Last Updated: 2023-09-11

Basic Information

• Recruitment Status: UNKNOWN
• Total Enrollment: 34 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-06-24
• Study Completion Date: 2024-06-24

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.

Conditions

Stroke

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Interventions

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.

Intervention Type: OTHER

Eligibility Criteria

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

• Minimum Eligible Age: 18 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: No

Sponsors

Cambridge University Hospitals NHS Foundation Trust

OTHER

Sponsor Role: lead

Responsible Party

Peter Hartley

Principal Investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Cambridge University Hospital NHS Foundation Trust

Cambridge, Cambridgeshire, United Kingdom

Site Status: RECRUITING

Countries

United Kingdom

Central Contacts

Peter Hartley, PhD

Role: CONTACT

peter.hartley@nhs.net

441223596317

Facility Contacts

Peter Hartley, PhD

Role: primary

peter.hartley@nhs.net

01223 596317

Other Identifiers

A096458

Identifier Type: -

Identifier Source: org_study_id