Approximate entropy and its preliminary application in the field of EEG and cognition

摘要

Approximate Entropy (ApEn) is a newly introduced statistic that can be used to quantify the complexity (or irregularity) of a time series. A practical fast algorithm of ApEn is proposed in this article and two experimental results in the field of EEG and cognition are presented.