【摘要】 介绍了两种度量序列复杂性的方法，一种是Ｋａｓｐａｒ 和Ｓｃｈｕｓｔｅｒ 定义的复杂度算法，一种是最近新发展起来的度量序列复杂性的统计方法———近似熵（ＡｐＥｎ） 。应用这两种方法对睡眠脑电各睡眠期提取复杂性的特征，并通过对比研究表明：近似熵是值得重视的、很有前景的复杂度度量方法更多还原

【Abstract】 The Paper introduces two algorithms as a complexity measure.One is the algorithm defined by Kaspar and Schuster,the other is a recently developed statistic quantifying regularity and complexity——Approximate entropy(ApEn).They have been applied for the study of sleep EEG.According to the laboratory application and comparison,the result shows that ApEn is a valued complexity measure.更多还原