An optimal monitor of the electroencephalographic sigma sleep state

A model has been proposed for a Markov-jumping sleep depth that modulates a white-noise driven structure generating the sigma rhythm in the electroencephalogram. The corresponding maximum likelihood monitor, that continuously detects the current sleep stage from the observed electroencephalogram, ha...

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Veröffentlicht in:	Biological cybernetics 1985, Vol.51 (4), p.263-270
Hauptverfasser:	KEMP, B, JASPERS, P, FRANZEN, J. M, JANSSEN, A. J. M. W
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological and medical sciences Cybernetics Electroencephalography Fundamental and applied biological sciences. Psychology Humans Models, Neurological Monitoring, Physiologic - instrumentation Sleep Stages - physiology Sleep. Vigilance Vertebrates: nervous system and sense organs
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Zusammenfassung:	A model has been proposed for a Markov-jumping sleep depth that modulates a white-noise driven structure generating the sigma rhythm in the electroencephalogram. The corresponding maximum likelihood monitor, that continuously detects the current sleep stage from the observed electroencephalogram, has been derived and implemented. Simulations show high detection performances.
ISSN:	0340-1200 1432-0770
DOI:	10.1007/BF00337151