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Updated: May 25, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
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Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

Fully-automated test of upper-extremity function.

J Kowalczewski1, E Ravid, A Prochazka

  • 1Centre for Neuroscience, University of Alberta. jan@angeltear.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 19, 2012
PubMed
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The ReJoyce Automated Hand Function Test (RAHFT) offers a reliable, automated method for assessing hand function recovery after neurological injury. It provides a quantitative alternative to traditional clinical assessments like the Action Research Arm Test and Fugl-Meyer Assessment.

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Quantitative evaluation of hand function is critical for assessing recovery after stroke and spinal cord injury.
  • Existing clinical tests for hand function often rely on subjective human judgment.
  • New automated systems are needed to provide objective and reliable outcome measures.

Purpose of the Study:

  • To validate the ReJoyce Automated Hand Function Test (RAHFT) against established clinical assessments.
  • To determine if the RAHFT can serve as a quantitative, automated alternative to the Action Research Arm Test (ARAT) and Fugl-Meyer Assessment (FMA).

Main Methods:

  • The ReJoyce workstation was used for automated hand function testing.
  • 34 test sessions were conducted with 13 individuals with tetraplegia.

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Last Updated: May 25, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
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Published on: January 7, 2019

Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients
05:28

Application of a Dual Upper Limb Task-Oriented Robotic System for the Functional Recovery of the Upper Limb in Stroke Patients

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  • The RAHFT was compared against the ARAT and FMA using principal component and regression analyses.

    • Main Results:

    • The RAHFT demonstrated strong correlation with the primary component of the combined test scores.
    • The ARAT also showed good correlation with the primary component.
    • The FMA exhibited weaker correlation compared to the RAHFT and ARAT.

    Conclusions:

    • The RAHFT is a validated, quantitative, and automated tool for assessing hand function.
    • The RAHFT offers a reliable alternative to subjective clinical assessments.
    • This automated test represents a significant advancement in objective outcome evaluation for upper extremity recovery.