Robotic technology provides objective and quantifiable metrics of neurocognitive functioning in survivors of critical illness:A feasibility study.

Journal: Journal of critical care
PMID: 30243203

Abstract

PURPOSE: To assess the feasibility of using an integrated multimodal data collection strategy to characterize the post-intensive care syndrome (PICS).

Authors

  • Michael D Wood
    Centre for Neuroscience Studies, Queen's University, Botterell Hall, 18 Stuart St, Kingston, ON, Canada.
  • David M Maslove
    Department of Critical Care Medicine, Queen's University and Kingston Health Sciences Centre, Kingston, ON, Canada.
  • John Muscedere
    Department of Critical Care Medicine, Queen's University, Kingston Health Sciences Centre, Kingston, ON, Canada. Electronic address: muscedej@kgh.kari.net.
  • Stephen H Scott
    Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada. steve.scott@queensu.ca.
  • J Gordon Boyd
    Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada; Department of Critical Care Medicine, Queen's University, Kingston Health Sciences Centre, Kingston, ON, Canada; Department of Medicine (Neurology), Queen's University, Kingston Health Sciences Centre, Kingston, ON, Canada. Electronic address: boydj@kgh.kari.net.

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