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Measurement of Spatial Stability in Precision Grip
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Goal-directed upper limb movement patterns and hand grip forces in multiple sclerosis.

Christoph M Kanzler1, Ramona Sylvester2, Roger Gassert1

  • 1Rehabilitation Engineering Laboratory, Institute of Robotics and Intelligent Systems, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Multiple Sclerosis Journal - Experimental, Translational and Clinical
|August 19, 2022
PubMed
Summary

Persons with Multiple Sclerosis (pwMS) show altered upper limb movement and grip force, even with normal clinical dexterity. Digital health metrics from the Virtual Peg Insertion Test (VPIT) can detect these subtle changes.

Keywords:
digital health metricsgrip forcesmotor controlmovement patternmultiple sclerosisupper limb

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Area of Science:

  • Neurology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Upper limb disability in persons with Multiple Sclerosis (pwMS) increases caregiver dependence.
  • Current clinical assessments poorly capture behavioral aspects of goal-directed upper limb tasks.
  • Understanding movement alterations is crucial for improving functional independence in pwMS.

Purpose of the Study:

  • To document alterations in goal-directed upper limb movement patterns and hand grip forces in pwMS.
  • To investigate the functional relevance of these movement abnormalities.
  • To explore the utility of digital health metrics for early MS detection.

Main Methods:

  • Utilized the Virtual Peg Insertion Test (VPIT), a technology-aided assessment.
  • Employed a pick-and-place task to gather digital health metrics.
  • Assessed a cohort of 123 pwMS with mild to moderate upper limb impairments.

Main Results:

  • Significant differences in movement smoothness, speed, and grip force control were observed in pwMS compared to able-bodied individuals (p < 0.001).
  • Abnormalities in movement patterns and grip force control negatively impacted task completion time (p < 0.001, R² = 0.77).
  • These subtle motor deficits were detectable even in pwMS with clinically normal gross dexterity and grip strength.

Conclusions:

  • The study systematically documents goal-directed upper limb movement and grip force alterations in pwMS.
  • Digital health metrics derived from VPIT offer sensitive measures of upper limb dysfunction.
  • These findings pave the way for early detection of Multiple Sclerosis using digital health technology.