DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG.

Journal: IEEE transactions on bio-medical engineering
Published Date: Aug 18, 2025

Abstract

OBJECTIVE: This study aimed to develop a deep learning model capable of accurately forecasting non-apneic sleep arousals, which are brief awakenings that disrupt sleep continuity and contribute to daytime fatigue.

Authors

  • Zahra Yousefi
  • Fiona C Bakar
  • Massimiliano de Zambotti
    Center for Health Sciences, SRI International, Menlo Park, CA 94025, USA.
  • Mohamad Forouzanfar
    École de technologie supérieure (ÉTS), Université du Québec, Montréal, QC H3C 1K3, Canada.

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