An observational study in Multiple Sclerosis, sponsored by Nantes University Hospital. Recruiting at 1 site in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-03-13.
Sponsored by Nantes University Hospital · Observational
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).
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.
3,460 studies on the registry are indexed under Multiple Sclerosis; 661 are open to participants now.
This study's planned enrollment of 100 is close to the median of 100 across 1,016 observational studies indexed under Multiple Sclerosis.
Browse Multiple Sclerosis studies →Nantes University Hospital is the lead sponsor of 825 studies on the registry; 195 are open to participants now.
Counted across the registry records on this site, refreshed daily.
MS patients cohort followed at Nantes university hospital or Rennes university hospital (OFSEP HD cohort)
Exclusion Criteria :
IMU sensor (as part of eGait device) worn at the hip during T25FW
Also known as: Wearable sensor
Clustering analyze based on IGP
IGP consists of a curve, based on quaternion and representing the rotation recorded by the IMU during an average gait cycle (0-1).
Time frame: At the inclusion
Clustering analyze based on EDSS score
EDSS is an ordinal scale measuring disability and ranging from 0 (normal examination) to 10 (death due to MS) in a 0,5-point increments from score 1.
Time frame: At the inclusion
Clustering analyze based on MRI lesion load
MRI characteristics are spinal and extraspinal lesion volumes.
Time frame: At the inclusion
Correlation with disability
Correlation of IGP obtained during a walk of 25 feet with Expanded Disability Status Scale (EDSS). EDSS is an ordinal scale measuring disability and ranging from 0 (normal examination) to 10 (death due to MS) in a 0,5-point increments from score 1. Here EDSS of 0 to 2 inclusive defined as mild, 2,5 to 4 inclusive as moderate and EFDSS of 4,5 to 6 inclusive defined as severe
Time frame: At the inclusion
Correlation with MRI lesion load
Add lesion load (Spinal and extraspinal lesion volume) from MRI to previous correlation.
Time frame: At the inclusion
Building a predictive model for lesion load involving in walk ability from IGP
Root mean square error between observed and lesion load predicted by the model, calculated by cross-validation.
Time frame: At the inclusion
Building a predictive model for group belonging from group established in main outcome based on IGP
Multiclass accuracy between real and predict group, calculated by cross-validation
Time frame: At the inclusion
Plan to share: No
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Nantes University Hospital