Abstract

Subtle gait and balance dysfunction is a precursor to loss of mobility in multiple sclerosis (MS). Biomechanical assessments using advanced gait and balance analysis technologies can identify these subtle changes and could be used to predict mobility loss early in the disease. This update critically evaluates advanced gait and balance analysis technologies and their applicability to identifying early lower limb dysfunction in people with MS. Non-wearable (motion capture systems, force platforms, and sensor-embedded walkways) and wearable (pressure and inertial sensors) biomechanical analysis systems have been developed to provide quantitative gait and balance assessments. Non-wearable systems are highly accurate, reliable and provide detailed outcomes, but require cumbersome and expensive equipment. Wearable systems provide less detail but can be used in community settings and can provide real-time feedback to patients and clinicians. Biomechanical analysis using advanced gait and balance analysis technologies can identify changes in gait and balance in early MS and consequently have the potential to significantly improve monitoring of mobility changes in MS.

Highlights

  • Mobility loss in people with multiple sclerosis is a major contributor to decreased quality of life, disruption to employment, and increased financial burden [1, 2]

  • Subtle gait and balance changes are apparent in people with multiple sclerosis (pwMS) even at the earliest disease stages and can be measured using advanced movement analysis techniques [3,4,5]

  • We review both non-wearable and wearable gait analysis systems and discuss the variables measured by these systems as well as advantages, disadvantages, sensitivity, and accuracy

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Summary

INTRODUCTION

Mobility loss in people with multiple sclerosis (pwMS) is a major contributor to decreased quality of life, disruption to employment, and increased financial burden [1, 2]. Clinical assessment of gait in pwMS often involves visual evaluation and walking performance, tests of maximum distance walked, or timed walks [7]. Both visual and performance tests are relatively reliable over time [8, 9]; reliability varies with the degree of disability [8,9,10], and the tests are insensitive to subtle changes early in the disease [3,4,5, 7, 11]

Advanced Gait and Balance Assessments in MS
Optical Motion Capture
Spatial and temporal variables Kinematics
Markerless motion capture
Restricted to laboratory environments
Pressure sensors
Clinical feasibility Objectivity Quantification Good sensitivity Face validity
Force Platforms
Instrumented Walkways
GAIT ANALYSIS TECHNOLOGIES USING WEARABLE SENSORS
Pressure Sensors
Inertial Sensors
Advantages and Disadvantages of Wearable Systems
CONCLUSION AND FUTURE DIRECTIONS
AUTHOR CONTRIBUTIONS
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