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Sponsor: University of Exeter
Conditions: Multiple Sclerosis
Countries: United Kingdom
Multiple Sclerosis (MS) is a condition that affects the brain and spinal cord, leading to problems with movement, balance, and vision. This project will validate innovative tools developed for monitoring MS progression using advanced movement analysis and retinal imaging technologies. Two computer vision-based applications, Digi Motion and Digi Balance, will measure range of motion, centre of mass, balance, and stability. In parallel, a model will be trained to analyse eye images using Optical Coherence Tomography (OCT)-a non-invasive technique that captures detailed views of retinal structures, including the retinal nerve fibre layer (RNFL), ganglion cell-inner plexiform layer (GC-IPL), and macular thickness, which are key biomarkers of MS-related neuroaxonal loss. These tools will be evaluated in people with MS, comparing results with traditional clinical assessments to determine reliability and validity. By integrating movement and retinal biomarkers, this approach aims to create a comprehensive and personalised method for tracking disease progression.
Sex: ALL
Age: 18 Years to 80 Years
Healthy volunteers: No
Study type: OBSERVATIONAL
Inclusion Criteria: * condition has been stable over a period of a month * can walk at least 10 metres independently with or without their walking aids Exclusion Criteria: * pregnancy * allergic to adhesive materials * a condition that precludes safe participation in the assessment as indicated by the referring clinician * insufficient mental capacity to consent
- Exeter, Devon, United Kingdom