Towards a Wireless Smart Polysomnograph Using Symbolic Fusion.

Journal: Studies in health technology and informatics
Published Date:

Abstract

Polysomnography is the gold standard test for sleep disorders among which the Sleep Apnea Syndrome (SAS) is considered a public health issue because of the increase of the cardio-and cerebro-vascular risk it is associated with. However, the reliability of this test is questioned since sleep scoring is a time-consuming task performed by medical experts with a high inter- and intra-scorers variability, and because data are collected from 15 sensors distributed over a patient's body surface area, using a wired connection which may be a source of artefacts for the patient's sleep. We have used symbolic fusion to support the automated diagnosis of SAS on the basis of the international guidelines of the AASM for the scoring of sleep events. On a sample of 70 patients, and for the Apnea-Hypopnea Index, symbolic fusion performed at the level of sleep experts (97.1% of agreement). The next step is to confirm these preliminary results and move forward to a smart wireless polysomnograph.

Authors

  • Adrien Ugon
    INSERM, U1142, LIMICS, F-75006, Paris, France; Sorbonne Universités, UPMC Univ Paris 06, UMR_S 1142, LIMICS, F-75006, Paris, France; Université Paris 13, Sorbonne Paris Cité, LIMICS, (UMR_S 1142), F-93430, Villetaneuse, France.
  • Brigitte Seroussi
    Sorbonne Universités, UPMC Université Paris 06, UMR_S 1142, LIMICS, Paris, France.
  • Carole Philippe
    AP-HP, Hôpital Pitié-Salpêtrière, Unité Pathologies du sommeil, Paris, France.
  • Jean-Gabriel Ganascia
    Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France.
  • Patrick Garda
    Sorbonne Universités, UPMC Univ Paris 06, UMR 7606, LIP6, Paris, France.
  • Karima Sedki
    Sorbonne Universités, UPMC Univ Paris 06, INSERM, Sorbonne Paris Cité, Université Paris 13, LIMICS, UMR_S 1142, Paris, France.
  • Jacques Bouaud
    AP-HP, DRCD, Paris, France.
  • Andrea Pinna
    Sorbonne Universités, UPMC Univ Paris 06, INSERM, Sorbonne Paris Cité, Université Paris 13, LIMICS, UMR_S 1142, Paris, France.