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Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
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Validity of visual perceptive computing for static posturography in patients with multiple sclerosis.

Janina R Behrens1, Sebastian Mertens2, Theresa Krüger2

  • 1NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany/Clinical and Experimental Multiple Sclerosis Research Center, Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|January 28, 2016
PubMed
Summary

Visual perceptive computing (VPC) offers a reliable method for assessing postural control in multiple sclerosis (MS) patients. This technology accurately detects balance impairments linked to cerebellar dysfunction and walking difficulties in MS.

Keywords:
Multiple sclerosisstatic posturographyvisual perceptive computing

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Multiple sclerosis (MS) frequently causes postural control deficits, yet traditional quantitative posturography is challenging in clinical settings.
  • Advancements in technology offer new possibilities for accessible and accurate posturography.
  • Visual perceptive computing (VPC) presents a novel approach for evaluating balance in MS.

Purpose of the Study:

  • To assess the construct validity of VPC-based static posturography for evaluating postural control in individuals with MS.
  • To determine if VPC posturography can reliably differentiate postural control between MS patients and healthy controls.
  • To correlate posturography findings with established clinical measures of disability and walking function in MS.

Main Methods:

  • Ninety MS patients and 59 healthy controls (HCs) participated, performing static posturography using a VPC system (Microsoft Kinect) in open, closed, and tandem stance conditions.
  • Clinical assessments included the Expanded Disability Status Scale (EDSS), Timed-25-Foot-Walk, Short-Maximum-Speed-Walk, and the 12-item MS Walking Scale (MSWS-12).
  • Test-retest reliability was evaluated using intra-class correlation coefficients.

Main Results:

  • MS patients exhibited significantly worse postural control than HCs across all stance tests.
  • The closed stance test demonstrated the highest applicability and reliability.
  • Abnormalities in three-dimensional mean angular sway velocity (MSV-3D) in MS patients correlated significantly with reduced walking speed, poorer clinical scores (especially cerebellar function), and self-reported walking disability (MSWS-12).

Conclusions:

  • VPC-based static posturography provides a reliable method for assessing postural control in patients with MS.
  • Impaired postural control in MS is strongly associated with cerebellar circuit involvement, impacting gait and overall walking ability.
  • This technology holds promise for improving the clinical assessment of balance deficits in MS.