Predicting Traumatic Brain Injury Post-Trauma Using Temporal Attention on Sleep-Wake Data.

Journal: IEEE transactions on bio-medical engineering
Published Date:

Abstract

BACKGROUND: Traumatic Brain Injury (TBI) is a major public health concern, and accurate classification is essential for effective treatment and improved patient outcomes. Sleep/wake behavior has emerged as a potential biomarker for TBI classification, yet the optimal time window in which to identify sleep/wake changes after TBI remains unclear.

Authors

  • Soheil Saghafi
    Department of Mathematical Sciences, New Jersey Institute of Technology, University Heights, Newark, NJ, 07102, USA.
  • Qiao Li
    Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America.
  • Thomas C Neylan
    Departments of Psychiatry and Neurology, University of California San Francisco, San Francisco, CA 94143, USA.
  • Tommy T Thomas
  • Jennifer S Stevens
  • Tanja Jovanovic
  • Laura T Germine
    Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA 02478, USA; The Many Brains Project, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, Boston, MA 02115, USA.
  • Meredith A Bucher
  • Megan E Huibregtse
  • Sarah D Linnstaedt
    Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27559, USA.
  • Xinming An
    Institute for Trauma Recovery, Department of Anesthesiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27559, USA.
  • Nathaniel G Harnett
  • Seth D Norrholm
  • Alana C Conti
  • Antonia V Seligowski
  • Daniel G Dillon
  • Lisa M Vizer
  • Lauren A McKibben
  • Liz Marie Albertorio-Saez
  • Francesca L Beaudoin
    Department of Epidemiology, Brown University, Providence, RI 02930, USA; Department of Emergency Medicine, Brown University, Providence, RI 02930, USA.
  • Liana Matson
  • Vince D Calhoun
    Mind Research Network & Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico; Department of Neurosciences, University of New Mexico, Albuquerque, New Mexico.
  • Steven E Harte
    Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI 48109, USA; Department of Internal Medicine-Rheumatology, University of Michigan Medical School, Ann Arbor, MI 48109, USA.
  • Steven E Bruce
    Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO 63121, USA.
  • John P Haran
    Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.
  • Alan B Storrow
    Department of Emergency Medicine, Vanderbilt University Medical Center, Nashville, TN.
  • Christopher Lewandowski
    Department of Emergency Medicine, Henry Ford Health System, Detroit, MI 48202, USA.
  • Paul I Musey
    Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
  • Phyllis L Hendry
    Department of Emergency Medicine, University of Florida College of Medicine -Jacksonville, Jacksonville, FL 32209, USA.
  • Robert A Swor
    Department of Emergency Medicine, Oakland University William Beaumont School of Medicine, Rochester, MI 48309, USA.
  • Claire Pearson
    Department of Emergency Medicine, Wayne State University, Ascension St. John Hospital, Detroit, MI 48202, USA.
  • David A Peak
    Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA 02114, USA.
  • Brian J O'Neil
  • Ronald C Kessler
    Department of Health Care Policy, Harvard Medical School.
  • Karestan C Koenen
    Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
  • Samuel A McLean
    TRYUMPH Research Program, Departments of Anesthesiology and Emergency Medicine, University of North Carolina, Chapel Hill, Chapel Hill, NC.
  • Gari D Clifford
    Department of Biomedical Informatics, Emory University, Atlanta, GA, United States.
  • Ali Bahrami Rad

Keywords

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