Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis

Wearable and depth video systems yielded highly correlated spatiotemporal gait data obtained in a clinical setting and are more sensitive to motor abnormalities than the PDDS. These tools could potentially be widely employed for clinical gait assessment, democratizing access to sensitive qualitative measurement of disease progression in MS.

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Publication Details

Journal
Multiple Sclerosis and Related Disorders
Published
2025-10-15
DOI
https://doi.org/10.1016/j.msard.2025.106801
Citations
1
Primary Topic
Multiple Sclerosis Research Studies
Type
article
Field-Weighted Citation Impact
1.47
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article

Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis

Farwa Ali, Charles L. Howe, Leland R Barnard, William Oliver Tobin et al.
1 citations
Multiple Sclerosis and Related Disorders
Multiple Sclerosis Research Studies
1.47
article

Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis

Farwa Ali, Charles L. Howe, Leland R Barnard, William Oliver Tobin, Samantha A. Banks
article en
1 citations

Abstract

Wearable and depth video systems yielded highly correlated spatiotemporal gait data obtained in a clinical setting and are more sensitive to motor abnormalities than the PDDS. These tools could potentially be widely employed for clinical gait assessment, democratizing access to sensitive qualitative measurement of disease progression in MS.

Multiple Sclerosis and Related DisordersVol. 104
Mayo Clinic (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US)
Openalex Percentile: Top 14%
Multiple Sclerosis Research Studies
1.47
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Concordance of Wearable Sensors and Depth Cameras for Quantitative Gait Assessment in Multiple Sclerosis — Farwa Ali, Charles L. Howe, et al. · Multiple Sclerosis and Related Disorders (2025) | TGRS Research Map | TGRS