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Related Experiment Video

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Innovative multidimensional gait evaluation using IMU in multiple sclerosis: introducing the semiogram.

Cyril Voisard1,2, Nicolas de l'Escalopier3,4, Aliénor Vienne-Jumeau1

  • 1Université Paris Saclay, Université Paris Cité, Ecole Normale Supérieure Paris Saclay, Centre National de la Recherche Scientifique, Service de Santé des Armées, Institut National de la Santé et de la Recherche Médicale, Centre Borelli, Gif-sur-Yvette, France.

Frontiers in Neurology
|October 2, 2023
PubMed
Summary

A new multidimensional gait score reliably quantifies gait impairments in progressive multiple sclerosis (pMS) patients. This novel tool, the semiogram, aids in assessing gait severity and potential causes in neurological follow-up.

Keywords:
gait disordersgait quantificationinertial measurement unitmultiple sclerosiswearable inertial sensors

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Area of Science:

  • Biomedical Engineering
  • Neurology
  • Rehabilitation Science

Background:

  • Quantifying gait with inertial measurement units is increasingly important for neurological patients.
  • Degraded gaits in neurological conditions necessitate robust gait detection and analysis tools.
  • Rigorously testing gait devices ensures their reliability and clinical relevance for routine use.

Purpose of the Study:

  • To propose a multidimensional score for quantifying and visualizing gait in neurological routine follow-up.
  • To assess the reliability and clinical coherence of this gait quantification method.
  • To evaluate the method in progressive multiple sclerosis (pMS) patients with severe gait impairments and healthy subjects (HS).

Main Methods:

  • A longitudinal study included 22 pMS participants and 19 HS over 18 months.
  • Participants performed a 10-meter walk test with a U-turn at multiple time points.
  • Gait parameters were analyzed to evaluate seven clinical criteria, generating a multidimensional visual tool called a semiogram.

Main Results:

  • The semiogram demonstrated moderate to very high test-retest reliability for most criteria.
  • Significant differences in partial scores were observed between pMS and HS groups.
  • Specific neurological deficits correlated with alterations in particular gait criteria, indicating potential for differential diagnosis.

Conclusions:

  • The multidimensional gait quantification (semiogram) offers an innovative approach to monitoring gait disorders.
  • It serves as a reliable and informative biomarker for assessing gait impairment severity in pMS.
  • The tool shows potential for discriminating between various underlying causes of gait alterations in pMS.