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2004-12-10 - Colloque/Article dans les actes avec comité de lecture - Anglais - 1 page(s)

Devuyst Stéphanie , Dutoit Thierry , Arslan Burak, Bilenne Olivier, Meers François, Stenuit Patricia, Stanus Etienne, Kerkhofs Myriam, "Artifacts processing for sleep stage classification" in URSI forum Broadband Communications, pp 53, Bruxelles, Belgique, 2004

  • Codes CREF : Ingénierie biomédicale (DI3900), Electricité courants faibles (DI2500)
  • Unités de recherche UMONS : Théorie des circuits et traitement du signal (F105)
Texte intégral :

Abstract(s) :

(Anglais) When a patient falls asleep, he transits by different sleep stages, which characterize the quality of his night. To determine these sleep stages, the technicians visually analyzes the polysomnographic signals (PSG) witch have different aspects according to these stages. However, this task requires a lot of time. This is why one generally tries to class them automatically. Then, one is generally faced with the problem of artifacts witch often interfere during feature extraction. Their detection and processing are therefore mandatory before any other classification operation.