Herrmann W M, Fichte K, Kubicki S
EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb. 1978 Sep;9(3):146-54.
In order to determine whether the clinically used frequency bands of the EEG can also be obtained by a mathematical system we did a factor analysis with 480 EEG recordings, 5 minutes each, in 60 healthy male volunteers. A power spectrum analysis was done and 57 frequency bands between 1.5 and 30.0 Hz in a half Hz steps were calculated. The factor structure obtained made the following frequency bands (Hz) reasonable: deltaF = 1.5 - 6.0, thetaF = 6.0 - 8.5, alpha1F = 8.5 - 10.5, alpha2F = 10.5 - 12.5, beta1F = 12.5 - 18.5, beta2F = 18.2 - 21.0, beta3F = 21.0 - 30.0. Except for alpha1F all other 6 frequency bands were represented by one general factor with the complexity 1. The variance of the alpha1F band is explained by several of the 6 factors. The clinically known and the by factor analysis obtained frequency bands in the beta-range are similar. The clinically alpha-band is subdivided into two frequency bands alpha1F and alpha2F by the factor analysis. The clinically known border line between delta- and theta-band of 3.5 Hz cannot be found by factor analysis.
为了确定临床上使用的脑电图频段是否也能通过数学系统获得，我们对60名健康男性志愿者进行了480次脑电图记录（每次5分钟）的因子分析。进行了功率谱分析，并以0.5赫兹为步长计算了1.5至30.0赫兹之间的57个频段。得到的因子结构使得以下频段（赫兹）合理：δ频段=1.5 - 6.0，θ频段=6.0 - 8.5，α1频段=8.5 - 10.5，α2频段=10.5 - 12.5，β1频段=12.5 - 18.5，β2频段=18.2 - 21.0，β3频段=21.0 - 30.0。除α1频段外，其他6个频段均由一个复杂度为1的一般因子表示。α1频段的方差由这6个因子中的几个来解释。通过因子分析得到的β范围内的频段与临床上已知的频段相似。通过因子分析，临床上的α频段被细分为α1频段和α2频段。因子分析无法找到临床上已知的δ频段和θ频段之间3.5赫兹的边界线。
