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Japanese

AUTOREGRESSIVE POWERSPECTRAL AND ITS COMPONENTAL ANALYSIS OF EEG ACTIVITY IN DIFFERENTIAL SLEEP STAGES IN NORMAL CHILDREN Teruyuki Ogawa 1 , Kenji Yamaguchi 2 1Department of Pediatrics, School of Medicine, Nagasaki University 2Handicapped Children's Home " Misakaenosono-Ayuminoie" pp.45-55
Published Date 1977/1/1
DOI https://doi.org/10.11477/mf.1406204003
  • Abstract
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All-night sleep electroencephalograms were re-corded polygraphically in 16 healthy children, from 2 to 15 years old, in order to perform autoregressive powerspectral and its componental analysis in differ-ent sleep stages. From each subject 6 EEG samples of 20 sec length were selected from the various sleep stages for computation of AR?powerspectra and its component, which consisted of several second degree oscillatory activities of alpha, delta, theta, beta rhythms and the first degree mono-scillatory activity of delta wave. The second degree activity was an oscillatory process characterized by frequency of oscillation and damping coefficient (ζ) to indicate decay of amplitude with respect to time. The results were as follows :

1. The relationship between frequency and damping coefficient in various sleep stages : (1) no correlation was found in beta-activity. (2) sigma-activity (activity in the frequency band of sleep spindles) was an obligatory component of sleep stages 2,3 and REM. (3) the damping coefficient of alpha-activity showed a gradual increase as the stage of sleep advanced from stage 1 to stage 4. (4) in contrast to alpha-activity, that of delta-activity decreased as the sleep stage advanced from 1 to 4. (5) the damping coefficient of theta-activity showed the most decreased value in sleep stage 3.

2. The relationship between frequency and mutual information amount in various sleep stages : (1) the information amount in awake and sleep stage REM provided higher value than in other sleep stages. (2) that of delta-activity usually in-creased as the sleep stage advanced from 1 to 4. (3) the ratio of mutual information amount of alpha-activity to that of delta-activity might indi-cate the degree of the depth of sleep stage. Therefore, the depth of the REM sleep was as-sumed to be around that of stage 2.

3. The technique of autoregressive powerspectra and its componental analysis can be usefully applied to the investigation of quantifying EEG activity in sleep.


Copyright © 1977, Igaku-Shoin Ltd. All rights reserved.

基本情報

電子版ISSN 2185-405X 印刷版ISSN 0006-8969 医学書院

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