ArticleSensors (Basel, Switzerland)2021
Measuring Gait Stability in People with Multiple Sclerosis Using Different Sensor Locations and Time Scales.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis.Multiple sclerosis and related disorders · 2025Article
- Multiple Sclerosis Classification Using the Local Divergence Exponent: Parameters Selection for State-Space Reconstruction.Sensors (Basel, Switzerland) · 2025Article
- Cognitive-motor interference in multiple sclerosis revisited: a dual-task paradigm using wearable inertial sensors and the Paced Auditory Serial Addition Test.Frontiers in neurology · 2025Article
- Evaluating the impact of task-sequencing on cognitive and motor performance in MS: PASAT and 3-minute walk test order effects.Frontiers in neurology · 2025Article
- Effects of the kinematic variable, time delay and data length on test-retest reliability of the maximal Lyapunov exponent of human walking.Royal Society open science · 2024Article
- Stability of sensor-based gait parameters reassessed after a period of one year in people with multiple sclerosis.BMC neurology · 2023Article
- Validity of an inertial sensor-based system for the assessment of spatio-temporal parameters in people with multiple sclerosis.Frontiers in neurology · 2023Article
- A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis.PloS one · 2022Article
- Wearable inertial sensors are highly sensitive in the detection of gait disturbances and fatigue at early stages of multiple sclerosis.BMC neurology · 2021Article
- Non-linear measures of movement variability in multiple sclerosis: a clinical narrative review of Lyapunov exponent and entropy applications in balance and gait.Frontiers in neurologyReview
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The evaluation of local divergence exponent (LDE) has been proposed as a common gait stability measure in people with multiple sclerosis (PwMS). However, differences in methods of determining LDE may lead to different results. Therefore, the purpose of the current study was to determine the effect of different sensor locations and LDE measures on the sensitivity to discriminate PwMS. To accomplish this, 86 PwMS and 30 healthy participants were instructed to complete a six-minute walk wearing inertial sensors attached to the foot, trunk and lumbar spine. Due to possible fatigue effects, the LDE short (~50% of stride) and very short (~5% of stride) were calculated for the remaining first, middle and last 30 strides. The effect of group (PwMS vs. healthy participants) and time (begin, mid, end) and the effect of Expanded Disability Status Scale (EDSS) and time were assessed with linear random intercepts models. We found that perturbations seem to be better compensated in healthy participants on a longer time scale based on trunk movements and on a shorter time scale (almost instantaneously) according to the foot kinematics. Therefore, we suggest to consider both sensor location and time scale of LDE when calculating local gait stability in PwMS.
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Registered trials
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