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Markerless Video-Based Gait Analysis in People With Multiple Sclerosis.

Matteo Moro, Giorgia Marchesi, Maria Cellerino

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |July 16, 2025
    PubMed
    Summary

    Markerless video gait analysis detects mobility changes in Multiple Sclerosis (MS). Even mild MS shows subtle gait differences in tandem walking, aiding early detection and rehabilitation.

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    Area of Science:

    • Biomedical Engineering
    • Neurology
    • Rehabilitation Science

    Background:

    • Gait analysis is vital for monitoring Multiple Sclerosis (MS) progression.
    • Markerless video analysis offers a non-invasive, practical alternative to traditional methods.
    • Assessing subtle gait changes can improve early diagnosis and treatment.

    Purpose of the Study:

    • To evaluate the effectiveness of markerless video-based gait analysis in individuals with MS.
    • To identify specific gait parameters that differentiate MS disability levels.
    • To explore the utility of normal and tandem gait analysis for MS assessment.

    Main Methods:

    • A markerless video-based system was used for gait analysis.
    • 25 individuals with MS and 25 controls were analyzed.

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    Last Updated: Sep 15, 2025

    Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
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    Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
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  • MS participants were categorized into high (EDSS ≥ 3) and low (EDSS < 3) disability groups.
  • Both normal and tandem gait patterns were assessed.

    • Main Results:

    • Significant spatio-temporal and kinematic differences were found in normal gait for the high EDSS group compared to controls.
    • The low EDSS group showed no significant differences in normal gait.
    • Tandem gait analysis revealed significant heel-to-toe distance differences in the low EDSS group, indicating subtle changes.

    Conclusions:

    • Markerless video gait analysis can detect mobility impairments in MS patients.
    • Tandem gait analysis is sensitive to subtle changes in individuals with lower MS disability.
    • This technology can enhance disease monitoring and guide personalized rehabilitation strategies for MS.