Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring.

Journal: Sleep
Published Date: Feb 8, 2023

Abstract

STUDY OBJECTIVES: To quantify the amount of sleep stage ambiguity across expert scorers and to validate a new auto-scoring platform against sleep staging performed by multiple scorers.

Authors

  • Jessie P Bakker
    Philips Sleep and Respiratory Care, Pittsburgh, PA,USA.
  • Marco Ross
  • Andreas Cerny
    Epatocentro Ticino, Via Soldino 5, CH-6900, Lugano, Switzerland.
  • Ray Vasko
    Philips Sleep and Respiratory Care, Pittsburgh, PA,USA.
  • Edmund Shaw
    Philips Sleep and Respiratory Care, Pittsburgh, PA,USA.
  • Samuel Kuna
    Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA,USA.
  • Ulysses J Magalang
    Division of Pulmonary, Critical Care, and Sleep Medicine, Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Naresh M Punjabi
    Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami, Miami FL, USA.
  • Peter Anderer

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