What is the GaitLab study?
Regular measurement of Multiple Sclerosis (MS) symptoms at home can give valuable insights into how the disease is progressing. This information can help clinicians make better treatment decisions, and also be useful in clinical studies to develop and test new treatments for people with MS. This study focused on testing how well smartphone-based assessments could measure walking and balance in people with MS. This is an important step toward creating reliable technology that can track symptoms accurately outside of a clinic setting.
What did we do?
● We recruited 100 people with MS (30 with progressive MS, 70 with relapsing-recurrent MS), aged 26-77, and 35 healthy people, aged 28-75.
● Participants were asked to come twice to the Brain Research and Imaging Centre at the University of Plymouth. They had a neurological examination and were shown how to use smartphone-based tests to track their MS symptoms. They performed these smartphone tests, along with standard clinical tests of walking and balance. Movement and balance tasks were measured by specialist facilities giving ‘gold-standard’ levels of accuracy.
● Participants were also asked to use the smartphone app to track their MS symptoms at home. They did this by completing a variety of short tests on the app, which included walking and balance tests. They also carried the phone with them during their daily activities. The study team then analysed the data collected from the app.
What did we find?
● The collected data allowed us to demonstrate that walking and balance characteristics measured via the smartphone closely match the robust scientific measurements recorded in the laboratory. This supported the accuracy and reliability of these new ways of collecting and analysing data about walking and balance.
● Comparing the information collected during the in-person visits with the results from the at-home tests, showed that smartphone-based tests provide repeatable results, both onsite and in the home setting.
● We also compared information collected when the smartphone was worn in different locations on the body. Results showed that people can wear the smartphone where they prefer without greatly affecting the information collected.
● Comparing the smartphone tests with the results from neurological examinations and the standard clinical tests showed that the smartphone tests measure similar things and are thus suitable for tracking the effects of MS.
● The data and results have allowed the study team to improve the set of rules used to analyse the information collected. This means they can be even more accurate, precise, repeatable, and reliable.
How have we shared these results?
Some first results were presented at the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) 2024 conference. ECTRIMS is the largest international conference focused on MS care and research, attended by over 9,000 people, and was based in Copenhagen in 2024:
Napiórkowski, N., Angelini, L., Stanev, D. et al. Smartphone-based assessment of gait with Floodlight in multiple sclerosis shows high operational robustness and analytical validity against a reference tool. Multiple Sclerosis Journal. 2024;30(3_suppl):599. doi:10.1177/13524585241269219
Festanti, A., Stanev, D., Angelini, L. et al. Smartphone-based assessment of gait with Floodlight shows association with clinical measures of disability and gait impairment in multiple sclerosis. Multiple Sclerosis Journal. 2024;30(3_suppl):602-603. doi:10.1177/13524585241269219
More results are currently being prepared to be published in scientific journals and the South West MS Research micro-site (https://sites.google.com/nihr.ac.uk/swp-ms-network/home).
The protocol was published here:
Rinderknecht, M.D., Zanon, M., Boonstra, T.A., et al. An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol. Digital Health. 2023 Oct;9:20552076231205284. doi: 10.1177/20552076231205284
Thank you to all those who participated in this study.
This study was funded by F. Hoffmann-La Roche AG.