电子学报2016，Vol.44Issue(7)：1757-1762,6.DOI:10.3969/j.issn.0372-2112.2016.07.034
基于听觉E RP功能脑网络特征和SVM的测谎方法研究
Study on Lie Detection Method Based on Auditory ERP Fu nctionaI Brain Network Characteristic and SVM
摘要
Abstract
Recently,brain network method,which based on grapy theory,has played an important role in cognitive science research.And the traditional lie detection methods,which based on ERP signals,usually focus on the EEG from one channel,this has some shortcomings,that use few channels are not able to reflect the whole cognitive characteristic underly-ing lie condition.In this paper,we proposed a method based on brain network characteristics.We used the auditory stimuli to evoke the ERP signals and it was recorded from different channels.In order to build the functional brain network,we calcu-lated the phase lag index between these channels,and seven network parameters were calculated as the index for lie detec-tion.Those network parameters were compared between guilty and innocent subjects,and support vector machine was used as the classifier to the test date.The result shows that this method has a higher identify accuracy than the average accuracy of existing method,proved the validity of the method.关键词
脑电/测谎/听觉刺激/小波包/相位延迟指数/脑功能网络Key words
Electroencephalogram (EEG)/lie detection/auditory stimuli/wavelet packet/phase lag index/brain net-work分类
医药卫生引用本文复制引用
常文文,王宏,化成诚..基于听觉E RP功能脑网络特征和SVM的测谎方法研究[J].电子学报,2016,44(7):1757-1762,6.基金项目
国家自然科学基金（No．51405073）；辽宁省创新团队基金 （）
