睡眠脑电的分形维数分析

为了研究是否用维数来描述脑功能的复杂程序，我们计算了５例正常人整夜睡眠时不同阶段的ＥＥＧ资料维数。结果显示，随着睡眠深度的增加而维数降低。这一事实和生理概念及其他作者所报道的结果相一致，故我们考虑维数分析在表示脑功能状态上有一定的理论意义。如果我们用简化法来计算维数，此法就有可能实时地应用于临床诊断。

ANALYSIS OF FRACTIONAL DIMENSION FOR ELECTROENCEPHALOGRAM DURING SLEEP SLEEP

In outer to investigate the possibility of describing the degree of the complexity of brainfunCtion by dimensionality, the fraternal dimensions of the EEG data obtained from five normal subjects during Whole night sleep on different stages were computed. The results showedthat deeper the sleep the lesser the dimension. This fact is in conformity with the idea of physiology and What reported by other authors, so we think that the analysis of the dimension hassome theoretical meoretical in the representation of brain function. If we use the simplifiedalgorithm to compute the demension, it is possible to apply to the clinical diagnosis on line.