电子学报2017，Vol.45Issue(8)：1836-1841,6.DOI:10.3969/j.issn.0372-2112.2017.08.005
基于脑电样本熵的测谎分析
Lie Detection Analysis Based on the Sample Entropy of EEG
摘要
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
测谎/脑电信号/非线性特征/样本熵Key words
lie detection/electroencephalography(EEG) signals/nonlinear characteristic/sample entropy分类
医药卫生引用本文复制引用
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):1836-1841,6.基金项目
国家自然科学基金(No.81271659,No.31201001) （No.81271659,No.31201001）
中国博士后科学基金(No.2014M552346) （No.2014M552346）
