Rijcken W J, Mol J M, Desanghere G
Clin Phys Physiol Meas. 1984 Feb;5(1):1-11. doi: 10.1088/0143-0815/5/1/002.
A new way of processing and presenting multichannel EEG recordings is introduced, called dynamic imaging frequency analysis (DIFA). Firstly power spectral analysis is applied to 14 EEG signals simultaneously. The cross-power spectra or transfer functions of 13 EEG signals are calculated in relation to the 14th EEG signal, thus obtaining not only the average amplitude but also the relative phase of diffusely occurring frequencies. The information per electrode obtained in this way can be presented in a numerical form, for quantification and statistical evaluation. Also, the information from 14 electrodes per significant frequency can be presented as a dynamic image display (frequency animation) yielding immediate information on the average amplitude and relative phase of the average activity per frequency of the EEG record. Application of the DIFA technique to several dozen patients demonstrates the value of phase information in EEG analysis.
介绍了一种处理和呈现多通道脑电图记录的新方法，称为动态成像频率分析（DIFA）。首先，对14个脑电图信号同时进行功率谱分析。计算13个脑电图信号相对于第14个脑电图信号的交叉功率谱或传递函数，从而不仅获得平均振幅，还获得弥散出现频率的相对相位。以这种方式获得的每个电极的信息可以以数字形式呈现，用于量化和统计评估。此外，每个显著频率来自14个电极的信息可以呈现为动态图像显示（频率动画），从而立即获得关于脑电图记录每个频率平均活动的平均振幅和相对相位的信息。将DIFA技术应用于几十名患者证明了相位信息在脑电图分析中的价值。
