December 14, 2023
December 14, 2023


Daily-life gait impairment detection.
Advanced statistical analyses at the service of gait-affected individuals.


Biomedecine and Health Care

Gait impairment comes with a major loss of autonomy, ultimately affecting the quality of life. Can we detect gait changes before symptoms appears so as to propose therapies to avoid or delay their occurrence?

  • Measuring gait with a lightweight device tha individuals forget they are wearing to limit biases.
  • Designing a biomarker called individual Gait Pattern, sensitive to changes in gait.

The main idea is to provide a so-called individual Gait Pattern (IGP) which describes the average rotation of the hip over time during a typical gait cycle. This is achieved using a tiny motion sensor, clipped on the right side of the belt, that records data to a secure server through a dedicated smartphone. The data comes in the form of a time series of unit quaternions. These are complex mathematical objects that motivated the development of specific statistical methods such as finding clusters of patients with similar gait impairment of designing risk indicators.

We analysed and clustered the IGP of 27 patients diagnosed with multiple sclerosis, Cluster 1 regroups patients with no clinical evidence of gait impairment only, while Cluster 2 regroups patients with mild walking deficiency. This suggests that the IGP detects clinically-invisible gait differences.

Stichting European Service Network of Mathematics For Industry and Innovation.

5052 Goirle, Netherlands