Lie Detection Analysis Based on the Sample Entropy of EEG

GAO Jun-feng; SI Hui-fang; YU Bin; GU Ling-yun; LIANG Ying; YANG Yong

doi:10.3969/j.issn.0372-2112.2017.08.005

您当前的位置：

首页 >

文章列表页 >

Lie Detection Analysis Based on the Sample Entropy of EEG

更新时间：2025-07-16

- Lie Detection Analysis Based on the Sample Entropy of EEG
- Acta Electronica Sinica Vol. 45, Issue 8, Pages: 1836-1841(2017)
- 作者机构：
  
  1. 中南民族大学生物医学工程学院&amp
  2. 认知科学国家民委重点实验室&amp
  3. 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
  4. 江西财经大学信息管理学院,江西,南昌,330000
  8. 电子科技大学生命科学与技术学院,四川,成都,610054
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.81271659, 61262034);China Postdoctoral Science Foundation (No.2014M552346)
- DOI：10.3969/j.issn.0372-2112.2017.08.005
  CLC： R338
- Published Online：25 August 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
GAO Jun-feng, SI Hui-fang, YU Bin, et al. Lie Detection Analysis Based on the Sample Entropy of EEG[J]. Acta Electronica Sinica, 2017, 45(8): 1836-1841.
DOI：

GAO Jun-feng, SI Hui-fang, YU Bin, et al. Lie Detection Analysis Based on the Sample Entropy of EEG[J]. Acta Electronica Sinica, 2017, 45(8): 1836-1841. DOI： 10.3969/j.issn.0372-2112.2017.08.005.

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

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.

关键词

Keywords

references

Views

407

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study on Lie Detection Method Based on Auditory ERP Functional Brain Network Characteristic and SVM

An Onset Detection Method for Action Surface Electromyography Based on Sample Entropy

Lie Detection Study Based on Phase Locking Value

Research on Brain Functional Network and Lie Detection Based on Phase Lag Index

Research on Mutual Information-Based Brain Network and Lie Detection

Related Author

HUA Cheng-cheng

WANG Hong

CHANG Wen-wen

PENG Hu

CHEN Xun

CHENG Juan

WANG Peng

DING Zhi-xiong

Related Institution

东北大学机械工程与自动化学院

Department of Biomedical Engineering, School of Medical Engineering, Hefei University of Technology

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

浙江海洋大学数理与信息学院

⁰