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基于事件相关电位近似熵识别心理意识真实性的研究 被引量:1

The Study of Mentality Facticity Identification Based on Approximate Entropy of Event Related Potential
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摘要 研究受试者在隐藏信息测试(CIT)模式下心理意识真实性识别。通过对15名受试者进行测试并记录其事件相关(ERP)脑电信号,对不同刺激信息诱发的ERP信号的近似熵进行分析。研究结果显示,当刺激信息出现时,近似熵出现了明显的下降趋势;刺激任务完成后,近似熵回升到刺激前水平。以近似熵下降百分比作为近似熵下降程度的量化参数,对比不同类型刺激信息诱发ERP信号的近似熵下降百分比,发现无关刺激在刺激反应过程中,对应的近似熵下降百分比显著大于相关刺激和靶刺激的下降百分比(p<0.001),说明近似熵的下降程度可以作为识别受试者隐藏信息的一种辅助特征参数。 The present study focuses on the identifying subject's mentality facticity during concealed information test (CIT). Total 15 subjects were tested in CIT paradigm and the event related potential (ERP) evoked by three categories stimuli was obtained simultaneously. The results show that the approximate entropy (ApEn) of ERPs decrease as stimulus appears and increase as stimulus over. Meanwhile, decreasing percentage of ApEn was employed as quantitive parameter, it is found that the parameter of ERPs corresponding to irrelevant stimulus is significantly larger than that of probe and target stimulus (P〈0.001). The findings indicate that decreasing percentage of ApEn could be used as an additional feature parameter to identify subject's concealed information effectively.
作者 赵敏 赵春临
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2016年第5期860-864,共5页 Journal of University of Electronic Science and Technology of China
基金 国家自然科学基金(30870654)
关键词 近似熵 事件相关电位 测谎 心理意识 approximate entropy event related potential lie detection mentality facticity
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参考文献15

  • 1SURYANARANYANAN P, KUMAR D K, BURTOR P. Validity of polygraphs[C]//Intemetional Conference of the Engineering in Medicine & Biology Society. Shanghai, China: IEEE, 2005: 1200-1203.
  • 2FORD E B. Lie detection: Historical, neuropsychiatric and legal dimensions[J]. International Journal of Law and Psychiatry, 2006, 29(3): 159-177.
  • 3MEIJER E H, SELLE N K, ELBER L, et al. Memory detection with the concealed information test: a meta analysis of skin conductance, respiration, heart rate, and P300 data[J]. Psychophysiology, 2014,51(9): 879-904.
  • 4MEIXNER J B, ROSENFELD E A mock terrorism application of the P300-based concealed information test[J]. Psychophysiology, 2010, 48(2): 149-154.
  • 5MEIXNER J B, ROSENFELD J E Detecting knowledge of incidentally acquired, real-world memories using a p300-based concealed-information test[J]. Psychological Science, 2014, 25(11): 1994-2005.
  • 6ROSENFELD J P, HU X, PEDERSON K. Deception awareness improves P300-based deception detection in concealed information tests[J]. Internation Journal of Psychophy siology, 2012, 86(1): 114-121.
  • 7PINCUS S M. Approximate entropy as a measure of system complexity[J]. Proceedings of the National Academy of Sciences of the United States of America, 1991, 88(6): 2297-2301.
  • 8OSVALDO A R. Entropy changes in brain function[J]. International Journal of Psychophysiology, 2007, 64(1): 75-80.
  • 9AMBACH W, DUMMEL S, LUER T, et al. Physiological responses in a concealed information test are determined interactively by encoding procedure and questioning format[J]. International Journal of Psychophysiology, 2011, 81(3): 275-282.
  • 10赵敏,郑崇勋,赵春临,刘建平.基于多通道事件相关电位的心理意识真实性检测[J].生物医学工程学杂志,2010,27(3):641-646. 被引量:3

二级参考文献25

  • 1ABOOTALEBI V,MORADI M H,KHALILZADEH M A.A comparison of methods for ERP assessment in a P300-based GKT[J],International Journal of Psychophysiology,2006,62(2):309-320.
  • 2ROSENFELD J P,ELLWANGER J W,NOLAN K,et al.P300 scalp amplitude distribution as an index of deception in a simulated cognitive deficit model[J].International Journal of Psychophysiology,1999,33(1):3-19.
  • 3VAPNIK V N.Statistical learning theory[M].New York,USA:John Wiley and Sons Inc.1998.
  • 4LOTTE F,CONGEDO M,LECUYER A,et al.A review of classification algorithms for EEG-based brain-computer interfaces[J].Journal of Neural Engineering,2007,4(2):R1-R13.
  • 5MERZAGORA A C,BUNCE S,IZZETOGIU M et al.Wavelet analysis for EEG feature extraction in deception detection[C]//Proceedings of the 28th IEEE EM-BS Annual International Conference.New York,USA:IEEE Press,2006:2434-2437.
  • 6MARTENS H A,DARDENNE P.Validation and verification of regression in small data sets[J].Che-mometrics and Intelligent Laboratory Systems,1998,44(1/2):99-121.
  • 7ELIZABETH B F. Lie detection: Historical, neuropsychiatric and legal dimentsions[J]. International Journal of Law and Psychiatry, 2006,29(3) : 159-177.
  • 8ABOOTALEBI V, MORADI M H, KHALILZADEH M A. A comparison of methods for ERP assessment in a P300-based GKT[J]. International Journal of Psyehophysiology, 2006,62 (2) : 309-320.
  • 9ROSENFELD J P, SOSKINS M, BOSH G, et al. Simple,effective countermeasures to P300-based tests of detection of concealed information[J]. Psychophysiology, 2004, 41 ( 2 ) 205-219.
  • 10ROSENFELD J P, JOEL W E, KATIE N, et al. P300 Scalp amplitude distribution as an index of deception in a simulated cognitive deficit model[J]. International Journal of Psychophysiology, 1999,33(1):3-19.

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