Computer vision detects covert voluntary facial movements in unresponsive brain injury patients.

Journal: Communications medicine
Published Date:

Abstract

BACKGROUND: Many brain injury patients who appear unresponsive retain subtle, purposeful motor behaviors, signaling capacity for recovery. We hypothesized that low-amplitude movements precede larger-amplitude voluntary movements detectable by clinicians after acute brain injury. To test this hypothesis, we developed a novel, as far as we are aware, computer vision-based tool (SeeMe) that detects and quantifies low-amplitude facial movements in response to auditory commands.

Authors

  • Xi Cheng
    Genes, Cognition, and Psychosis Program, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA; The Lieber Institute for Brain DevelopmentBaltimore, MD, USA; Bioinformatics and Computational Biosciences Branch, Office of Cyber Infrastructure and Computational Biology (OCICB), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of HealthRockville, MD, USA.
  • Sujith Swarna
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Jermaine Robertson
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Nathaniel A Cleri
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Jordan R Saadon
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Chiemeka Uwakwe
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Yindong Hua
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Seyed Morsal Mosallami Aghili
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Cassie Wang
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Robert S Kleyner
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Xuwen Zheng
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Ariana Forohar
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • John Servider
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
  • Kurt Butler
    Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA.
  • Chao Chen
    Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Jordane Dimidschstein
    Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Petar M Djurić
    Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY, USA.
  • Charles B Mikell
    Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA. charles.mikell@stonybrookmedicine.edu.
  • Sima Mofakham
    Biophysics Program, University of Michigan, 930N University, Ann Arbor, Michigan, United States of America.

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