EEG时间序列的fad参数描述。

Acta physiologica Polonica Pub Date : 1989-07-01
P J Franaszczuk, P Mitraszewski, K Blinowska
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引用次数: 0

摘要

提出了一种新的脑电信号时间序列参数描述方法。该过程包括以下步骤:计算AR模型系数,估计并行滤波器形式的传递函数,寻找脉冲响应函数参数。参数:频率,振幅和损伤系数(FAD)表征基本脑电波。以节律图的形式表示了脑电信号的平均性质。该方法克服了将EEG功率谱任意划分为频带的困难,使脑电图数据简化为表征基本节律的少数参数成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FAD-parametric description of EEG time series.

A new method of the EEG time series parametric description was elaborated. The procedure consists of the following steps: calculation of AR model coefficients, the estimation of the transfer function in the form of parallel filters, finding of the impulse response function parameters. The parameters: frequencies, amplitudes and damaging coefficients (FAD) characterise the basic EEG waves. The average properties of the EEG signals are presented in the form of rhythm diagrams. The method overcomes the difficulties in arbitrary partitioning of the EEG power spectrum into the frequency bands and makes possible the reduction of electroencephalographic data to the few parameters characterising basic rhythms.

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