• DocumentCode
    406451
  • Title

    The assessment of REM sleep homeostatic regulation using an automated laboratory for sleep studies

  • Author

    Vivaldi, E.A. ; Ocampo-Garcés, A. ; Peirano, J. ; Bassi, A.

  • Author_Institution
    Program de Fisiologia y Biofisica, Chile Univ., Santiago, Chile
  • Volume
    1
  • fYear
    2003
  • fDate
    17-21 Sept. 2003
  • Firstpage
    362
  • Abstract
    An automated system has been developed to allow for long-term quantitative sleep studies. A homeostatic mechanism that operates at very a short time scales, and participates in the timing of the triggering of a new REM sleep episode is described. Intermittent specific REM sleep deprivation of duration comparable to the basal REM cycle has been performed. A neural network based approach is proposed as a predictive model of state probability.
  • Keywords
    medical signal processing; neural nets; patient diagnosis; probability; sleep; REM sleep episode; automated laboratory; homeostatic regulation; neural network; predictive model; sleep; sleep deprivation; state probability; Data acquisition; Home automation; Laboratories; Medical diagnostic imaging; Neural networks; Predictive models; Sleep; Stability; Stochastic processes; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7789-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2003.1279652
  • Filename
    1279652