SMART-MG
Research type
Research Study
Full title
Artificial Intelligence evaluation of Myasthenia Gravis symptoms from smartphone acquired data: a cross-sectional study
IRAS ID
341966
Contact name
Ashwin Pinto
Contact email
Sponsor organisation
University Hospital Southampton
Duration of Study in the UK
0 years, 11 months, 30 days
Research summary
The study plans to invite individuals with Myasthenia Gravis (MG) from several clinics in England, as well as healthy controls without MG, to visit a research facility. Participants will be asked to provide video and audio recordings using a smartphone device while they complete four standardized assessments. These assessments aim to identify speech problems (dysarthria and dysphonia), arm fatigue/weakness, and droopy eyelids (ptosis).
Participants with MG will also complete several standard questionnaire-based MG assessments. The research team aims to investigate the feasibility of reliably differentiating between individuals with MG and those without, solely based on smartphone measurements. They will also explore whether computational algorithms applied to these recordings can accurately measure the severity of these symptoms automatically.
If successful, this approach could enable patients to monitor their symptoms more effectively outside of clinical settings using a smartphone device. It may also facilitate earlier intervention and optimization of treatment by healthcare providers
REC name
West Midlands - South Birmingham Research Ethics Committee
REC reference
24/WM/0188
Date of REC Opinion
29 Aug 2024
REC opinion
Favourable Opinion