本文選題：測(cè)謊　切入點(diǎn)：腦電信號(hào)　出處：《電子學(xué)報(bào)》2017年08期

【摘要】：測(cè)謊分析在刑訊偵查和法律審判中具有重要意義.為了區(qū)分是否說(shuō)謊,根據(jù)腦電信號(hào)的非線性特征,本文首次使用非線性動(dòng)力學(xué)的樣本熵方法分析30名受試者處于誠(chéng)實(shí)和說(shuō)謊兩種狀態(tài)時(shí)腦電信號(hào)的樣本熵值.研究發(fā)現(xiàn):受試者處于誠(chéng)實(shí)狀態(tài)時(shí)的熵值波動(dòng)范圍明顯小于說(shuō)謊狀態(tài)下的波動(dòng)范圍,更重要的是說(shuō)謊時(shí)的熵值顯著高于說(shuō)實(shí)話時(shí)的熵值,表明樣本熵可以區(qū)分誠(chéng)實(shí)和說(shuō)謊兩種不同狀態(tài)下的腦電信號(hào),該研究為基于腦電的測(cè)謊提供了一種新的途徑.
[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.
【作者單位】： 中南民族大學(xué)生物醫(yī)學(xué)工程學(xué)院&認(rèn)知科學(xué)國(guó)家民委重點(diǎn)實(shí)驗(yàn)室&中南民族大學(xué)醫(yī)學(xué)信息分析及腫瘤診療湖北省重點(diǎn)實(shí)驗(yàn)室;電子科技大學(xué)生命科學(xué)與技術(shù)學(xué)院;江西財(cái)經(jīng)大學(xué)信息管理學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(No.81271659,No.31201001) 中國(guó)博士后科學(xué)基金(No.2014M552346)
【分類號(hào)】：R318;TN911.7
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本文編號(hào)：1662682