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Stationarity of the human electroendephalogram.

作者信息

Cohen B A, Sances A

出版信息

Med Biol Eng Comput. 1977 Sep;15(5):513-8. doi: 10.1007/BF02442278.

DOI:10.1007/BF02442278
PMID:199805
Abstract
摘要

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PERIOD ANALYSIS OF THE ELECTROENCEPHALOGRAM ON A GENERAL-PURPOSE DIGITAL COMPUTER.
Ann N Y Acad Sci. 1964 Jul 31;115:827-43.
2
Some statistical properties of the visual evoked potential in man and their application as a criterion of normality.
IEEE Trans Biomed Eng. 1971 Jan;18(1):23-34. doi: 10.1109/tbme.1971.4502785.
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A nonstationary analysis of the electroencephalogram.
IEEE Trans Biomed Eng. 1973 Nov;20(6):444-52. doi: 10.1109/TBME.1973.324218.
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Ensemble characteristics of the human visual evoked response: periodic and random stimulation.
IEEE Trans Biomed Eng. 1972 Nov;19(6):408-15. doi: 10.1109/TBME.1972.324087.
A Critical Assessment of Directed Connectivity Estimates with Artificially Imposed Causality in the Supramammillary-Septo-Hippocampal Circuit.
对乳头体上区-隔区-海马回路中人为施加因果关系的定向连接估计的批判性评估。
Front Syst Neurosci. 2017 Sep 29;11:72. doi: 10.3389/fnsys.2017.00072. eCollection 2017.
4
Understanding early dementia: EEG, MRI, SPECT and memory evaluation.早期痴呆症的理解：脑电图、磁共振成像、单光子发射计算机断层扫描及记忆评估。
Transl Neurosci. 2015 Feb 6;6(1):32-46. doi: 10.1515/tnsci-2015-0005. eCollection 2015.
5
Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension.基于脑电图的前驱期阿尔茨海默病诊断方法：从生物标志物整合到网络层面理解
Clin Interv Aging. 2016 Jul 6;11:897-912. doi: 10.2147/CIA.S103313. eCollection 2016.
6
Association of EEG, MRI, and regional blood flow biomarkers is predictive of prodromal Alzheimer's disease.脑电图、磁共振成像和局部血流生物标志物之间的关联可预测前驱期阿尔茨海默病。
Neuropsychiatr Dis Treat. 2015 Oct 27;11:2779-91. doi: 10.2147/NDT.S93253. eCollection 2015.
7
Atrophy and lower regional perfusion of temporo-parietal brain areas are correlated with impairment in memory performances and increase of EEG upper alpha power in prodromal Alzheimer's disease.颞顶叶脑区萎缩及局部灌注降低与前驱期阿尔茨海默病的记忆表现受损及脑电图上α波功率增加相关。
Am J Neurodegener Dis. 2015 Sep 10;4(1):13-27. eCollection 2015.
8
Mild Cognitive Impairment: Structural, Metabolical, and Neurophysiological Evidence of a Novel EEG Biomarker.轻度认知障碍：一种新型脑电图生物标志物的结构、代谢和神经生理学证据
Front Neurol. 2015 Jul 6;6:152. doi: 10.3389/fneur.2015.00152. eCollection 2015.
9
Prediction of Nociceptive Responses during Sedation by Linear and Non-Linear Measures of EEG Signals in High Frequencies.通过高频脑电信号的线性和非线性测量预测镇静期间的伤害性反应。
PLoS One. 2015 Apr 22;10(4):e0123464. doi: 10.1371/journal.pone.0123464. eCollection 2015.
10
Non-stationarity of EEG during wakefulness and anaesthesia: advantages of EEG permutation entropy monitoring.清醒和麻醉期间脑电图的非平稳性：脑电图排列熵监测的优势
J Clin Monit Comput. 2014 Dec;28(6):573-80. doi: 10.1007/s10877-014-9553-y. Epub 2014 Jan 18.
5
Clinical applications of spectral analysis and extraction of features from electroencephalograms with slow waves in adult patients.
Electroencephalogr Clin Neurophysiol. 1973 Sep;35(3):225-35. doi: 10.1016/0013-4694(73)90233-2.
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A new technique for the analysis of EEG by computer.
Electroencephalogr Clin Neurophysiol. 1970 Oct;29(4):410.
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Modeling the stationarity and Gaussianity of spontaneous electroencephalographic activity.
IEEE Trans Biomed Eng. 1975 Sep;22(5):361-9. doi: 10.1109/tbme.1975.324504.
8
Quantification of computer analyzed serial EEGs from stroke patients.
Electroencephalogr Clin Neurophysiol. 1976 Oct;41(4):379-86. doi: 10.1016/0013-4694(76)90100-0.