【摘要】 ＥＥＧ 代表了大脑神经元活动的一种电信号，它一直是人们分析和研究大脑活动和大脑功能状态的重要工具。我们利用了由Ｋｏｌｍ ｏｇｏｒｏｖ 和徐京华定义的Ｋｃ 复杂性和Ｃ１ 复杂性，对帕金森症患者和正常人的ＥＥＧ 时间序列作了分析和研究，根据４００ 例的统计结果表明，复杂性能够区分这两者，我们认为这种方法可能作为诊断帕金森症的客观指标。更多还原

【Abstract】 EEG represents the electricy activity of neurons in human brain; it is of course repeatedly used for studying and analyzing the brain activity and the status of brain function. We analyzed the Parkinson’s and normal persons’ EEG, with the aid of Kc complexity and C1 complexity defined by Kolmogorov and Xujinhua respectively. The results of the analysis on the data from 200 patients and 200 normal persons indicate that the complexity of EEG can be regarded as a feature classifying the Parkinson’s EEG and normal persons’ EEG.更多还原