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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
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Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test.

Janina Behrens, Caspar Pfüller, Sebastian Mansow-Model

  • 1NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany. friedemann.paul@charite.de.

Journal of Neuroengineering and Rehabilitation
|June 3, 2014
PubMed
Summary
This summary is machine-generated.

Microsoft Kinect™ (Kinect) technology offers a feasible method for analyzing gait in multiple sclerosis (MS) patients, accurately detecting gait disturbances and showing high reliability for clinical use.

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Multiple Sclerosis (MS) poses challenges for gait analysis.
  • Perceptive computing offers new avenues for objective gait assessment.
  • Existing clinical measures for MS gait disability include the Expanded Disability Status Scale (EDSS) and Timed 25-Foot Walk (T25FW).

Purpose of the Study:

  • To investigate the applicability and feasibility of perceptive computing-assisted gait analysis in MS patients using Microsoft Kinect™.
  • To establish a computerized, observer-independent measure for maximum walking speed and spatial sway.
  • To compare this new measure, the Short Maximum Speed Walk (SMSW), with established clinical gait assessments in MS.

Main Methods:

  • A cross-sectional study involving 22 MS patients and 22 age/gender-matched healthy controls (HC).
  • Gait analysis using Microsoft Kinect™ to assess five parameters, including average walking speed and gait stability (left/right, up/down, 3D deviation).
  • Comparison of SMSW results with EDSS scores and T25FW performance.

Main Results:

  • MS patients exhibited slower average walking speed (1.6 m/sec) compared to HC (1.8 m/sec) (p=0.005).
  • SMSW average walking speed strongly correlated with EDSS scores (Spearman's Rho 0.676, p<0.001).
  • SMSW demonstrated high recognition quality and retest-reliability (ICC 0.965, p<0.001), comparable to T25FW.

Conclusions:

  • Perceptive computing-assisted ambulation tests using Microsoft Kinect™ are feasible and well-tolerated in MS patients.
  • This technology effectively detects clinical gait disturbances in MS.
  • The retest-reliability of Kinect-based gait analysis is comparable to the T25FW.