[Auto-regressive powerspectrum and component analysis of EEG activities in various sleep stages in normal children].
作者信息
Ogawa T, Yamaguchi K
出版信息
No To Shinkei. 1977 Jan;29(1):45-55.
PMID:195592
Abstract
摘要
相似文献
1
2
Automated measurement of alpha, beta, sigma, and theta burst characteristics.α、β、σ和θ波爆发特征的自动测量。
Sleep. 1979 Summer;1(4):435-43.
3
4
Influence of sleep stage and wakefulness on spectral EEG activity and heart rate variations around periodic leg movements.睡眠阶段和清醒状态对周期性腿部运动周围脑电图频谱活动及心率变异性的影响。
Clin Neurophysiol. 2004 Oct;115(10):2236-46. doi: 10.1016/j.clinph.2004.04.024.
5
Influence of age on the interrelation between EEG frequency bands during NREM and REM sleep.年龄对非快速眼动睡眠和快速眼动睡眠期间脑电图频段相互关系的影响。
Int J Neurosci. 2004 Apr;114(4):559-71. doi: 10.1080/00207450490422704.
6
Topographic mapping of electroencephalography coherence in hypnagogic state.催眠状态下脑电图相干性的地形图绘制。
Psychiatry Clin Neurosci. 1998 Apr;52(2):147-8. doi: 10.1111/j.1440-1819.1998.tb00998.x.
7
8
Standard EEG might predict the intensity of the vasotocin effects on REM sleep in prepubertal children.标准脑电图可能预测血管紧张素对青春期前儿童快速眼动睡眠的影响强度。
Endocrinologie. 1989 Jul-Sep;27(3):149-52.
9
Reduced Alpha power associated with the recall of mentation from Stage 2 and Stage REM sleep.与从快速眼动睡眠2期回忆思维活动相关的α波功率降低。
Psychophysiology. 2004 Mar;41(2):288-97. doi: 10.1111/j.1469-8986.00143.x.
10
EEG source identification: frequency analysis during sleep.
C R Biol. 2002 Apr;325(4):273-82. doi: 10.1016/s1631-0691(02)01438-5.
Zotero 插件