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Literature DB >> 3970986

An optimal monitor of the electroencephalographic sigma sleep state.

B Kemp, P Jaspers, J M Franzen, A J Janssen.

Abstract

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.

Entities: Disease

Mesh：

Year: 1985 PMID： 3970986 DOI： 10.1007/bf00337151

Source DB: PubMed Journal: Biol Cybern ISSN： 0340-1200 Impact factor: 2.086

19 in total

1. Proposed supplements and amendments to 'A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects', the Rechtschaffen & Kales (1968) standard.

Authors: T Hori; Y Sugita; E Koga; S Shirakawa; K Inoue; S Uchida; H Kuwahara; M Kousaka; T Kobayashi; Y Tsuji; M Terashima; K Fukuda; N Fukuda
Journal: Psychiatry Clin Neurosci Date: 2001-06 Impact factor: 5.188

An optimal monitor of the electroencephalographic sigma sleep state.

1. Proposed supplements and amendments to 'A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects', the Rechtschaffen & Kales (1968) standard.

2. A hybrid computer system for unsupervised scoring of sleep records.

3. On automatic methods of sleep staging by EEG spectra.

4. Automatic detection of sleep spindles by analysis of harmonic components.

5. The use of the semi-Markov model in the study of the development of sleep-wake states in infants.

6. Accurate measurement of flash-evoked alpha attenuation.

7. A new device for automatic sleep spindle analysis: the 'spindicator'.

8. Spindle density in sleep of normal subjects.

9. The number and duration of the episodes of the various EEG stages of sleep in young and older people.

10. Changes in seizure susceptibility, sleep time and sleep spindles following thalamic and cerebellar lesions.

1. A model-based monitor of human sleep stages.

2. An optimal monitor of the rapid-eye-movement brain state.