中文摘要：

测谎分析在刑讯侦查和法律审判中具有重要意义.为了区分是否说谎,根据脑电信号的非线性特征,本文首次使用非线性动力学的样本熵方法分析30名受试者处于诚实和说谎两种状态时脑电信号的样本熵值.研究发现：受试者处于诚实状态时的熵值波动范围明显小于说谎状态下的波动范围,更重要的是说谎时的熵值显著高于说实话时的熵值,表明样本熵可以区分诚实和说谎两种不同状态下的脑电信号,该研究为基于脑电的测谎提供了一种新的途径.

英文摘要：

There is great significance in lie detection for the criminal investigations and lawtrials. In this study,according to the nonlinear characteristics of electroencephalography（ EEG）,it is the first time to use the sample entropy（ SE）,a nonlinear dynamical parameter of EEG,to see if someone is lying. The sample entropy values of 30 subjects’ EEG signals in lying or honesty states were calculated and analyzed. The study found that the fluctuating range of SE values in honesty was obviously less than that in lying. It is more important that the SE values in lying was significantly higher than the honesty,which indicated that SE could be used to distinguish EEG signals between two different states of honesty and lying. This research provides a newway for EEG-based lie detection.