Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing.

Journal: Journal of neuroengineering and rehabilitation
Published Date: Jul 2, 2020

Abstract

BACKGROUND: Traditional clinical assessments are used extensively in neurology; however, they can be coarse, which can also make them insensitive to change. Kinarm is a robotic assessment system that has been used for precise assessment of individuals with neurological impairments. However, this precision also leads to the challenge of identifying whether a given change in performance reflects a significant change in an individual's ability or is simply natural variation. Our objective here is to derive confidence intervals and thresholds of significant change for Kinarm Standard Tests™ (KST).

Authors

  • Leif E R Simmatis
    Centre for Neuroscience Studies, Queen's University, Botterell Hall, 18 Stuart St, Kingston, ON, Canada.
  • Spencer Early
    Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
  • Kimberly D Moore
    Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
  • Simone Appaqaq
    Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
  • Stephen H Scott
    Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada. steve.scott@queensu.ca.

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