NCT05482906

Common and Specific Information From Neuroimaging and Smartphone

Individual Gait Pattern and MRI Lesion Load to Quantify Gait Impairment in MS: A Cross Sectional Study.

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 100 (estimated)
• Sponsor: Nantes University Hospital · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

Summary

Gait alteration is frequent in MS and limitation in walking ability is a major concern in MS patients. Umanit and LMJL (Nantes university) has developed a device call egait to assess walking ability in individuals (eg MS patients).

Detailed description

This device consists in a commercialized IMU sensor (MetaMotionR Sensor, Mbientilab) worn at the right hip, a smartphone app and dedicated algorithm/mathematical model to extract raw sensor data and calculate individual gait pattern (IGP). This IGP consists of a curve, based on quaternion and representing the rotation recorded by the IMU during an average gait cycle. Pursue previous works conducted on (IGP to assess) gait alteration in MS by adding (to IGP) new information from MRI.

Conditions

• Multiple Sclerosis

Interventions

Type	Name	Description
OTHER	eGait	IMU sensor (as part of eGait device) worn at the hip during T25FW

Timeline

• Start date: 2023-04-03
• Primary completion: 2026-04-30
• Completion: 2026-06-30
• First posted: 2022-08-01
• Last updated: 2026-03-13

Locations

1 site across 1 country: France