An estimation of the bispectrum for the EEG in emotional states

被引:0
|
作者
Kim, ES
Cho, DY
Lee, YJ
Ryu, CS
机构
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The electroencephalogram is not stochastic but deterministic chaotic. We study the underlying dynamics of emotional states in the human brain by a nonlinear dynamical analysis. We use the T3 and T4 channel among the 21 channels, measured upon auditory stimuli well, in the EEG. The purpose of this research is to estimate the bispectrum for the EEG in positive acid negative emotional states evoked by the auditory stimuli. As a result, we found the fact that in positive emotional state the degree of interaction of similar frequency pair is high, but in negative emotional state the degree of interaction of different frequency pair is high.
引用
收藏
页码:438 / 441
页数:4
相关论文
共 50 条
  • [1] An estimation of the correlation dimension for the EEG in emotional states
    Ryu, CS
    Kim, S
    Park, SH
    PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 19, PTS 1-6: MAGNIFICENT MILESTONES AND EMERGING OPPORTUNITIES IN MEDICAL ENGINEERING, 1997, 19 : 1547 - 1550
  • [2] Emotional States Estimation from Multichannel EEG Maps
    Rutkowski, Tomasz M.
    Cichocki, Andrzej
    Ralescu, Anca L.
    Mandic, Danilo P.
    ADVANCES IN COGNITIVE NEURODYNAMICS, PROCEEDINGS, 2008, : 695 - +
  • [3] Bispectrum Analysis of EEG in Estimation of Hand Movement
    Saikia, Adity
    Hazarika, Shyamanta M.
    ADVANCES IN COMPUTING AND COMMUNICATIONS, PT 2, 2011, 191 : 109 - 118
  • [4] Estimation of nonlinear measures of schizophrenia patients' EEG in emotional states
    Akar, S. A.
    Kara, S.
    Latifoglu, F.
    Bilgic, V.
    IRBM, 2015, 36 (04) : 250 - 258
  • [5] Unified approach to trimmed mean estimation and its application to bispectrum estimation of EEG signals
    Univ of Strathclyde, Glasgow, United Kingdom
    J Franklin Inst, 3 (369-383):
  • [6] Unified approach to trimmed mean estimation and its application to bispectrum estimation of EEG signals
    Mampel, D
    Nandi, AK
    Schellhorn, K
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1996, 333B (03): : 369 - 383
  • [7] Evaluation of ischemic states using bispectrum parameters of EEG and neural networks
    Huang, LY
    Wang, YM
    Liu, HP
    Wang, J
    PROCEEDINGS OF THE 26TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2004, 26 : 582 - 585
  • [8] CO-VARIATION OF EEG SYNCHRONIZATION AND SELF-ESTIMATION OF SPONTANEOUS EMOTIONAL STATES
    Wyczesany, Miroslaw
    Kaiser, Jan
    PSYCHOPHYSIOLOGY, 2010, 47 : S68 - S68
  • [9] ESTIMATION OF THE BISPECTRUM
    ROSENBLATT, M
    VANNESS, JW
    ANNALS OF MATHEMATICAL STATISTICS, 1965, 36 (04): : 1120 - 1136
  • [10] Bispectrum quantification analysis of EEG and artificial neural network may classify ischemic states
    Huang, Liyu
    Wang, Weirong
    Singare, Sekou
    NEURAL INFORMATION PROCESSING, PT 2, PROCEEDINGS, 2006, 4233 : 533 - 542