Smartphone-based gait analysis in the assessment of fatigue and fatigability in people with multiple sclerosis: a supervised cohort study

Smartphone-based gait analysis provides an accessible and valid method for detecting steps and cadence. There are major differences in the assessment of fatigability, but an allover association to subjective motor fatigue.

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Publication Details

Journal
Journal of Neurology
Published
2025-02-22
DOI
https://doi.org/10.1007/s00415-025-12906-7
Citations
3
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
4.41
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article

Smartphone-based gait analysis in the assessment of fatigue and fatigability in people with multiple sclerosis: a supervised cohort study

Juliana Ramos Ziegler, Matthias Grothe, Alexander Tallner, Sebastian Strauß et al.
3 citations
Journal of Neurology
Multiple Sclerosis Research Studies
4.41
article

Smartphone-based gait analysis in the assessment of fatigue and fatigability in people with multiple sclerosis: a supervised cohort study

Juliana Ramos Ziegler, Matthias Grothe, Alexander Tallner, Sebastian Strauß, Asarnush Rashid, Carolin Schönherr, Ton Zentek
article en
3 citations

Abstract

Smartphone-based gait analysis provides an accessible and valid method for detecting steps and cadence. There are major differences in the assessment of fatigability, but an allover association to subjective motor fatigue.

Journal of NeurologyVol. 272(3)
Universitätsmedizin Greifswald (DE)
Good health and well-being
Openalex Percentile: Top 7%
Multiple Sclerosis Research Studies
4.41
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