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
Link To Document :
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