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一种将脑电图分解为振荡系统的新方法,该方法可用于分析不同持续时间的脑电图现象

[A new method of breaking down the electroencephalogram into a system of oscillations that allows for the analysis of EEG phenomena of different durations].

作者信息

Kozlov M K, Dumenko V N

出版信息

Zh Vyssh Nerv Deiat Im I P Pavlova. 1990 Sep-Oct;40(5):1004-12.

PMID:1964322
Abstract

With the purpose of levelling the restrictions appearing at the EEG correlative-spectral analysis, particularly of short (1-2 sec) realizations, as a result of Fourier transform, a new algorithm is elaborated of decomposition and analysis of bioelectrical activity. The created algorithm of complete EEG reduction to the list of oscillations singled out has been tested by a corresponding program. It provides for the measurement of parameters of concrete characteristics of the curve, and the adequacy of decomposition is ascertained by the exact restoration from the list of oscillations of the initial EEG. The method shows good sensitivity to the revealing of transient EEG phenomena and also regional specificity of the cortical bioelectrical activity.

摘要

为了消除脑电图相关频谱分析中出现的限制,特别是由于傅里叶变换导致的短(1 - 2秒)信号的限制,我们精心设计了一种新的生物电活动分解与分析算法。所创建的将完整脑电图简化为单独振荡列表的算法已通过相应程序进行了测试。它可以测量曲线具体特征的参数,并且通过从初始脑电图的振荡列表中精确恢复来确定分解的充分性。该方法对脑电图瞬态现象的揭示具有良好的敏感性,同时也体现了皮质生物电活动的区域特异性。

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