Automatic sleep staging for the young and the old - Evaluating age bias in deep learning.

Journal: Sleep medicine
Published Date:

Abstract

BACKGROUND: Various deep-learning systems have been proposed for automated sleep staging. Still, the significance of age-specific underrepresentation in training data and the resulting errors in clinically used sleep metrics are unknown.

Authors

  • Mathias Baumert
    School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia.
  • Simon Hartmann
  • Huy Phan
    The Institute for Signal Processing, University of Lübeck, Lübeck, Germany.