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Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales
Roy Müller1,2, Lucas Schreff1, Lisa-Eyleen Koch1
1Department of Orthopedic Surgery, Klinikum Bayreuth GmbH, 95445 Bayreuth, Germany.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
Local divergence exponent (LDE) gait stability measures differ based on sensor location and time scale. Gait analysis in people with multiple sclerosis (PwMS) requires careful consideration of these factors for accurate results.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Rehabilitation Science
Background:
- Local divergence exponent (LDE) is a common measure for assessing gait stability in people with multiple sclerosis (PwMS).
- Variations in LDE calculation methods can yield inconsistent results, impacting diagnostic accuracy.
- Understanding factors influencing LDE is crucial for reliable gait analysis in PwMS.
Purpose of the Study:
- To investigate the impact of different sensor placements (foot, trunk, lumbar spine) and LDE calculation time scales on discriminating PwMS from healthy individuals.
- To determine how fatigue, assessed by time (first, middle, last 30 strides), affects LDE measures.
- To analyze the relationship between Expanded Disability Status Scale (EDSS) scores and gait stability over time in PwMS.
Main Methods:
- 86 PwMS and 30 healthy participants completed a six-minute walk test wearing inertial sensors.
- LDE was calculated using short (~50% stride) and very short (~5% stride) time scales.
- Linear random intercepts models were used to assess group, time, and EDSS effects on LDE.
Main Results:
- Healthy participants demonstrated better perturbation compensation on longer time scales (trunk) and shorter time scales (foot).
- Sensor location and time scale significantly influenced the sensitivity of LDE in distinguishing PwMS.
- Gait stability measures varied depending on whether trunk or foot kinematics were analyzed.
Conclusions:
- Sensor location and the chosen time scale for LDE calculation are critical factors in gait stability assessment for PwMS.
- Future research should standardize LDE methodology, considering both sensor placement and temporal analysis.
- Accurate gait stability evaluation is essential for effective rehabilitation strategies for people with multiple sclerosis.

