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Updated: Jan 27, 2026

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
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Upper Extremity Function Assessment Using a Glove Orthosis and Virtual Reality System.

Richard J Adams1, Allison L Ellington2, Kate Armstead3

  • 11 Barron Associates Inc., Charlottesville, VA, USA.

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|March 20, 2019
PubMed
Summary
This summary is machine-generated.

This study shows that virtual reality games using sensor-equipped gloves can accurately measure upper extremity (UE) motor function in stroke survivors. These findings support using virtual environments for assessing hand and arm recovery after a stroke.

Keywords:
activities of daily livinginstrumental activities of daily livingoccupational therapyrehabilitationvirtual reality

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Area of Science:

  • Rehabilitation Medicine
  • Neuroscience
  • Virtual Reality in Healthcare

Background:

  • Stroke frequently causes hand motor control deficits, impacting daily activities.
  • Accurate assessment of upper extremity (UE) function is crucial for effective stroke rehabilitation.

Purpose of the Study:

  • To determine the criterion validity of UE performance measures derived from sensor data during virtual reality-based simulated instrumental activities of daily living (IADLs).
  • To assess the utility of a sensor-instrumented glove and SaeboVR system for objective motor function evaluation in stroke patients.

Main Methods:

  • Fifteen stroke patients engaged in simulated IADLs using a sensor-instrumented glove within a virtual environment (SaeboVR).
  • UE motor and hand function were assessed using gold-standard clinical evaluations.
  • Spearman rank correlation was employed to compare virtual environment-derived measures with gold-standard assessments.

Main Results:

  • High and statistically significant correlations were observed between performance measures obtained in the virtual environment and gold-standard assessments.
  • Sensor data from the glove system effectively captured functional UE movements during IADL tasks.

Conclusions:

  • Performance measures generated through interaction in a virtual environment demonstrate criterion validity for assessing UE motor status in stroke survivors.
  • This technology offers a promising, objective method for evaluating upper extremity function and guiding rehabilitation post-stroke.