SynthesisMultiple sclerosis (Houndmills, Basingstoke, England)2025
Characterizing gait in people with multiple sclerosis using digital data from smartphone sensors: A proposed framework.
Synthesis in Multiple sclerosis (Houndmills, Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Enhanced Gait Variability Index in Neurological and Geriatric Rehabilitation: A Scoping Review.NeuroRehabilitation · 2026Article
- Stride-level measurement of gait as an early sensitive marker of disability progression in ambulatory patients with multiple sclerosis.EClinicalMedicine · 2026Article
- Accurate quantification of steps from multiple smartphone positions.Scientific reports · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- 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
- Motor and cognitive changes across 2 years: a longitudinal study in early Multiple Sclerosis.Archives of physiotherapyArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobility assessment is essential for monitoring disease progression in people with multiple sclerosis (PwMS). Technologies such as wearable sensors show potential for this purpose, but consensus is needed to optimize collection and interpretation of digital measures in PwMS.
objectiveTo propose a framework for measuring and interpreting key aspects of impaired gait in PwMS using a smartphone worn at the waist level.
methodsThe framework was developed on the basis of clinical understanding and knowledge of sensor signal processing, supported by a systematic literature review (SLR). The SLR targeted articles published after 2011 that measured gait characteristics in PwMS. Findings were used to propose standardized definitions for complementary gait domains and define digital measures that should be captured for each domain.
resultsThe resulting framework for PwMS recommends definitions for pace, rhythm, stability, symmetry, variability, smoothness, complexity and fatigability gait domains. For each domain, a set of digital measures is described with respect to their interpretability and associated caveats.
conclusionThis framework provides recommendations for measuring complex gait patterns in PwMS using widely available technology. This work promotes the use of standardized gait domain definitions and harmonized descriptions of associated digital measures, paving the way for future validation efforts.
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Registered trials
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