Analyzing the Emotional State EEG by Mutual Information

상호정보에 의한 감성상태 뇌파분석

  • 김응수 (대전대학교 공과대학 전자공학과)
  • Published : 2000.08.01

Abstract

For understanding the information processing in human brain, we analyze the EEG, a spontaneous electric activity on the scalp of the human. In this paper, we used the mutual information to analyze EEG. The mutual information is used to show the stochastic correlation between signals which are generated in the communication and information theory. The used EEG is evoked by each auditory stimulus in positive and negative emotional states. As a result, we found thet there is some difference at the mutual information in each emotional state.

인간의 뇌 정보처리를 이해하기 위한 일환으로서, 많은 연구자들이 사람의 두피에서 자발적으로 발생하는 전기 활동인 뇌파(EEG)를 분석하였다. 측정된 뇌파는 잠음처럼 보이는 비선형적인 거동으로 인하여 단순한 관찰만으로 그 특징을 분석하기가 매우 어렵다. 따라서 이러한 뇌파를 분석하고 이해하기 위한 방법으로 파워스펙트럼, 바이스펙트럼 등과 같은 스펙트럼 분석과 상관차원, 프랙탈 차원과 같은 비선형 카오스 분석 등과 같은 해석법들이 활발히 연구되어왔다. 본 논문에서는 이러한 기존의 방법 외에 두 신호사이의 통계적 의존성을 측정하는 양인 상호정보를 이용하여 뇌파의 특징을 분석하였다. 뇌파간의 상호정보 분석을 통해 두뇌에서의 정보의 흐름에 관한 특징을 알아보았고, 감선자극에 반응하는 두뇌의 활동영역을 알 수 있었다.

Keywords

References

  1. IEEE Engineering in medicine and biology magazine Structural EEG engineer H.J. Ben;Wei Kang Cheng
  2. The EEG is not a simple noise : strange attractors in intracranial structure, In : Dynamics of sensory and cognitive processing by the brain J. Roeschke;E. Basar;E. Basar(ed.)
  3. Biol. Cybern. v.62 Evidence of chaotic dynamics underlying the human alph-rhythm electroencephalogram A.C.K. Soong;C.I.J.M. Stuart
  4. Electroenceph. Clin. Neurophysiol v.75 An application of fractal dimension to the detection of transients in the electroencephalogram Jeffrey E. Arle;Richard H. Simon
  5. the $5^{th}$ ICONIP v.1 An Estimation of the Bispectrum for the EEG in Emotional States E.S. Kim;D.Y. Cho;Y.J. Lee;C.S. Ryu
  6. Neurology, Psych. And Brain Research 7 Spectral and Bispectral EEG Analysis in Acute Unliateral Ischemic Stroke Patients K.G. Choi;E.K. Cho;S.H. Chae;E.S. Kim;J.S. Kim
  7. Advance in Neural Info. Proc. Sys. Independent Component Analysis of EEG Data S. Makeig;A.J. Bell;T.P. Jung;T.J. Sejnowski
  8. Neural Networks v.7 Representation and Separation of Signal using Nonlinear PCA Type Learning J. Karhunen;J. Joutsensalo
  9. Information Theory and Reliable Communication Systems-second edition Robert G. Gallager
  10. Neurology Psychiatry and Brain Research v.7 Spectral and Bispectral EEG analysis in acute unilateral ischemic stroke patients K.G. Choi;E.K. Cho;S.H. Chae;E.S. Kim;J.S. Kim
  11. Brain Res Cog Brain Res v.6 no.3 Evoked potentials correlates of semantic meaning-A brain mapping study Skrandies K.
  12. J. Sleep Res v.7 sup. 1 A new method for detecting state changes in the EEG : exploratory application to sleep data McKeown MJ;Humphries C;Achermann P(et al)
  13. Neurophysiology v.39 no.2 Spectral structure and brain mapping of human alpha activities in different arousal states
  14. Philos Trans R Soc Lond B Biol SciJul v.29 Functionally independent components of early event-related potentials in a visual spatial attention task Makeig S;Waterfield M;Townsend J;Jung TP(et al)
  15. Trans. Of the institute the Elec., Info. And Comm. Eng. v.E73 Chaos in discrete systems and diagnosis of experimental chaos T. Konda;K. Aihara
  16. Nonlinear Dynamics and Chaos-Geometrical Methods for Engineers and Scientists J.M.T. Thompson;H.B. Stewart
  17. 臨床腦波 한선호;사이또 쇼지