An optimal monitor of the electroencephalographic sigma sleep state
- 1 January 1985
- journal article
- research article
- Published by Springer Nature in Biological Cybernetics
- Vol. 51 (4) , 263-270
- https://doi.org/10.1007/bf00337151
Abstract
A model has been proposed for a Markovjumping 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.Keywords
This publication has 26 references indexed in Scilit:
- Proposed supplements and amendments to ‘A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects’, the Rechtschaffen & Kales (1968) standardPsychiatry and Clinical Neurosciences, 2001
- The Use of the Semi‐Markov Model in the Study of the Development of Sleep‐Wake States in InfantsPsychophysiology, 1979
- The number and duration of the episodes of the various EEG stages of sleep in young and older peopleElectroencephalography and Clinical Neurophysiology, 1975
- Well-behaved Itô equations with simulations that always misbehaveIEEE Transactions on Automatic Control, 1973
- Recent progress in stochastic processes--A surveyIEEE Transactions on Information Theory, 1973
- Spectral Analysis of EEG Activity in Different Sleep Stages in Normal AdultsEuropean Neurology, 1972
- Automatic recognition of sleep spindles using short-term spectral analysisBehavior Research Methods, 1971
- A general likelihood-ratio formula for random signals in Gaussian noiseIEEE Transactions on Information Theory, 1969
- On the relation between ordinary and stochastic differential equationsInternational Journal of Engineering Science, 1965
- Sleep patterns in young adults: an EEG studyElectroencephalography and Clinical Neurophysiology, 1964