基于脑电样本熵的测谎分析

发布时间：2018-03-25 10:17

  本文选题：测谎　切入点：脑电信号　出处：《电子学报》2017年08期

【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.
[Abstract]:Lie detection analysis is of great significance in criminal investigation and legal trial. In order to distinguish whether to lie or not, according to the nonlinear characteristics of EEG, In this paper, the sample entropy of EEG in 30 subjects in two states of honesty and lying is analyzed for the first time using the method of sample entropy of nonlinear dynamics. It is found that the range of entropy fluctuation is clear when the subjects are in the state of honesty. Significantly smaller than the range of fluctuations in a lying state, More importantly, the entropy of lying is significantly higher than that of telling the truth, which indicates that the sample entropy can distinguish the EEG signals under two different states of honesty and lying. This study provides a new approach to lie detection based on EEG.
【作者单位】： 中南民族大学生物医学工程学院&认知科学国家民委重点实验室&中南民族大学医学信息分析及肿瘤诊疗湖北省重点实验室;电子科技大学生命科学与技术学院;江西财经大学信息管理学院;
【基金】：国家自然科学基金(No.81271659,No.31201001) 中国博士后科学基金(No.2014M552346)
【分类号】：R318;TN911.7
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本文编号：1662682