| 基于脑电样本熵的测谎分析 |
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| 引用本文： | 高军峰,司慧芳,余彬,顾凌云,梁莹,杨勇.基于脑电样本熵的测谎分析[J].电子学报,2017,45(8):1836-1841. |
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| 作者姓名： | 高军峰 司慧芳 余彬 顾凌云 梁莹 杨勇 |
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| 作者单位： | 1. 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 湖北武汉 430074;
2. 电子科技大学生命科学与技术学院 四川成都 610054;
3. 江西财经大学信息管理学院 江西南昌 330000 |
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| 基金项目： | 国家自然科学基金，中国博士后科学基金 |
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| 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.
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| 关 键 词： | 测谎 脑电信号 非线性特征 样本熵 |
| 收稿时间： | 2016-03-29 |
Lie Detection Analysis Based on the Sample Entropy of EEG |
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| GAO Jun-feng,SI Hui-fang,YU Bin,GU Ling-yun,LIANG Ying,YANG Yong.Lie Detection Analysis Based on the Sample Entropy of EEG[J].Acta Electronica Sinica,2017,45(8):1836-1841. |
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| Authors: | GAO Jun-feng SI Hui-fang YU Bin GU Ling-yun LIANG Ying YANG Yong |
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| Affiliation: | 1. School of Biomedical Engineering, South-Central University for Nationalities & Key Laboratory of Cognitive Science, State Ethnic Affairs Commission & Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, Wuhan, Hubei 430074, China;
2. School of Life Science and Technology, Chengdu, Sichuan 610054, China;
3. School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, Jiangxi 330000, China |
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| Abstract: | There is great significance in lie detection for the criminal investigations and law trials.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 new way for EEG-based lie detection. |
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| Keywords: | lie detection electroencephalography(EEG) signals nonlinear characteristic sample entropy |
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