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Validity of visual perceptive computing for static posturography in patients with multiple sclerosis

Item Type:Article
Title:Validity of visual perceptive computing for static posturography in patients with multiple sclerosis
Creators Name:Behrens, J.R. and Mertens, S. and Krüger, T. and Grobelny, A. and Otte, K. and Mansow-Model, S. and Gusho, E. and Paul, F. and Brandt, A.U. and Schmitz-Hübsch, T.
Abstract:Background: Multiple sclerosis (MS) patients frequently have postural control impairment but quantitative posturography is difficult to perform in clinical care. Recent technology facilitates new posturography approaches. Objective: To evaluate construct validity of visual perceptive computing (VPC) for static posturography to study postural control in MS patients. Methods: A total of 90 MS patients and 59 healthy controls (HCs) performed three stance tests: open, closed and tandem stance. Static posturography was performed using a VPC system with Microsoft Kinect. Clinical assessments included Expanded Disability Status Scale (EDSS), Timed-25-Foot-Walk, Short-Maximum-Speed-Walk and 12-item MS Walking Scale (MSWS-12) questionnaire. Reliability was assessed with intra-class correlation coefficients at retest. Results: As a group, MS patients performed worse than HCs in all tests. The closed stance test showed best applicability and reliability. With closed eyes, in 36.7% of patients, the three-dimensional mean angular sway velocity (MSV-3D) was above HCs’ 95th percentile. Higher MSV-3D was associated with decreased walking speed (p < 0.001); worse clinical scores, mainly attributable to the cerebellar functional system score (p < 0.001); and reflected in self-reported walking disability (MSWS-12, p < 0.001). Conclusion: Postural control can be reliably assessed by VPC-based static posturography in patients with MS. Abnormal postural control seems to predominantly reflect involvement of cerebellar circuits with impact on gait and walking disability.
Keywords:Multiple Sclerosis, Static Posturography, Visual Perceptive Computing
Source:Multiple Sclerosis Journal
ISSN:1352-4585
Publisher:Sage Publications (U.K.)
Volume:22
Number:12
Page Range:1596-1606
Date:October 2016
Official Publication:https://doi.org/10.1177/1352458515625807
PubMed:View item in PubMed

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