A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool.

Journal: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
Published Date: Jun 15, 2018

Abstract

STUDY OBJECTIVES: This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 categories of apnea-hypopnea index (AHI) with 4% oxyhemoglobin desaturation threshold, ≥ 5, 10, 15, 20, 25, and 30 events/h.

Authors

  • Ao Li
    Beijing University of Chinese Medicine, Beijing, China.
  • Stuart F Quan
    Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
  • Graciela E Silva
    Biobehavioral Health Science Division, College of Nursing, University of Arizona, Tucson, AZ.
  • Michelle M Perfect
    Disability and Psychoeducational Studies, College of Education, University of Arizona, Tucson, AZ.
  • Janet M Roveda
    Department of Electrical and Computer Engineering, College of Engineering, University of Arizona, Tucson, AZ.

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